AI Super ProfessorDoctorate

Prof. Dr. Anna Roux

Digital Psychiatry and Virtual Neuro-Rehabilitation

Welcome to the frontier of digital psychiatry and virtual neuro-rehabilitation! I am Prof. Dr. Anna Roux. As a leading researcher on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders, I guide doctoral students in the Digital Psychiatry and Virtual Neuro-Rehabilitation program at Nexier University on their journey to healing minds and restoring function in the digital age.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

Internships in digital psychiatry research labs or health tech startups
Roles as digital health product designers or clinical research associates
Support roles in academic research projects on virtual neuro-rehabilitation
Opportunities in healthcare providers implementing digital mental health solutions

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Anna Roux

Prof. Dr. Anna Roux

Listed courses

Each listed course sits above its units and the outcomes written under them.

Digital Psychiatry and Virtual Neuro-Rehabilitation

01Advanced Digital Psychiatry
1. FoundationsFoundations of Advanced Digital Psychiatry
  The learner can master advanced research in clinical psychology and technology, as applied to Advanced Digital Psychiatry.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced Digital Psychiatry?
  Meets the listed outcomeThe learner can master advanced research in clinical psychology and technology, as applied to Advanced Digital Psychiatry.
  The learner can gain expertise in the design and validation of digital health interventions, as applied to Advanced Digital Psychiatry.
  True or falseThis unit lists the following outcome: The learner can gain expertise in the design and validation of digital health interventions, as applied to Advanced Digital Psychiatry.
  Meets the listed outcomeThe learner can gain expertise in the design and validation of digital health interventions, as applied to Advanced Digital Psychiatry.
2. MethodsMethods in Advanced Digital Psychiatry
  The learner can develop leadership in digital mental health innovation, as applied to Advanced Digital Psychiatry.
  True or falseThis unit lists the following outcome: The learner can develop leadership in digital mental health innovation, as applied to Advanced Digital Psychiatry.
  Meets the listed outcomeThe learner can develop leadership in digital mental health innovation, as applied to Advanced Digital Psychiatry.
  The learner can cultivating a rigorous approach to understanding and addressing challenges in digital psychiatry, as applied to Advanced Digital Psychiatry.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced Digital Psychiatry as applied to Advanced Digital Psychiatry.
  Meets the listed outcomeThe learner can cultivating a rigorous approach to understanding and addressing challenges in digital psychiatry, as applied to Advanced Digital Psychiatry.
3. ApplicationApplication of Advanced Digital Psychiatry
  The learner can leading groundbreaking research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders, as applied to Advanced Digital Psychiatry.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced Digital Psychiatry as applied to Advanced Digital Psychiatry.
  Meets the listed outcomeThe learner can leading groundbreaking research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders, as applied to Advanced Digital Psychiatry.
  The learner can specializing in research in clinical psychology and technology, and the design and validation of digital health interventions, as applied to Advanced Digital Psychiatry.
  Multiple choiceWhich listed outcome belongs to Application of Advanced Digital Psychiatry?
  Meets the listed outcomeThe learner can specializing in research in clinical psychology and technology, and the design and validation of digital health interventions, as applied to Advanced Digital Psychiatry.
02Virtual Neuro-Rehabilitation Techniques
1. FoundationsFoundations of Virtual Neuro-Rehabilitation Techniques
  The learner can excelling at creating innovative digital solutions for mental and neurological health challenges, as applied to Virtual Neuro-Rehabilitation Techniques.
  Multiple choiceWhich listed outcome belongs to Foundations of Virtual Neuro-Rehabilitation Techniques?
  Meets the listed outcomeThe learner can excelling at creating innovative digital solutions for mental and neurological health challenges, as applied to Virtual Neuro-Rehabilitation Techniques.
  The learner can shaping the future of digital mental health innovation and neuro-rehabilitation, as applied to Virtual Neuro-Rehabilitation Techniques.
  True or falseThis unit lists the following outcome: The learner can shaping the future of digital mental health innovation and neuro-rehabilitation, as applied to Virtual Neuro-Rehabilitation Techniques.
  Meets the listed outcomeThe learner can shaping the future of digital mental health innovation and neuro-rehabilitation, as applied to Virtual Neuro-Rehabilitation Techniques.
2. MethodsMethods in Virtual Neuro-Rehabilitation Techniques
  The learner can apply a method from Virtual Neuro-Rehabilitation Techniques to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Virtual Neuro-Rehabilitation Techniques to a documented case.
  Meets the listed outcomeThe learner can apply a method from Virtual Neuro-Rehabilitation Techniques to a documented case.
  The learner can select an appropriate method from Virtual Neuro-Rehabilitation Techniques for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Virtual Neuro-Rehabilitation Techniques as applied to Virtual Neuro-Rehabilitation Techniques.
  Meets the listed outcomeThe learner can select an appropriate method from Virtual Neuro-Rehabilitation Techniques for a stated problem.
3. ApplicationApplication of Virtual Neuro-Rehabilitation Techniques
  The learner can evaluate a practice of Virtual Neuro-Rehabilitation Techniques against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Virtual Neuro-Rehabilitation Techniques as applied to Virtual Neuro-Rehabilitation Techniques.
  Meets the listed outcomeThe learner can evaluate a practice of Virtual Neuro-Rehabilitation Techniques against a stated criterion.
  The learner can transfer Virtual Neuro-Rehabilitation Techniques to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Virtual Neuro-Rehabilitation Techniques?
  Meets the listed outcomeThe learner can transfer Virtual Neuro-Rehabilitation Techniques to a new documented context.
03AI in Psychiatric Diagnosis and Treatment
1. FoundationsFoundations of AI in Psychiatric Diagnosis and Treatment
  The learner can explain the core terms of AI in Psychiatric Diagnosis and Treatment.
  Multiple choiceWhich listed outcome belongs to Foundations of AI in Psychiatric Diagnosis and Treatment?
  Meets the listed outcomeThe learner can explain the core terms of AI in Psychiatric Diagnosis and Treatment.
  The learner can distinguish related ideas inside AI in Psychiatric Diagnosis and Treatment.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI in Psychiatric Diagnosis and Treatment.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI in Psychiatric Diagnosis and Treatment.
2. MethodsMethods in AI in Psychiatric Diagnosis and Treatment
  The learner can apply a method from AI in Psychiatric Diagnosis and Treatment to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI in Psychiatric Diagnosis and Treatment to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI in Psychiatric Diagnosis and Treatment to a documented case.
  The learner can select an appropriate method from AI in Psychiatric Diagnosis and Treatment for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI in Psychiatric Diagnosis and Treatment as applied to AI in Psychiatric Diagnosis and Treatment.
  Meets the listed outcomeThe learner can select an appropriate method from AI in Psychiatric Diagnosis and Treatment for a stated problem.
3. ApplicationApplication of AI in Psychiatric Diagnosis and Treatment
  The learner can evaluate a practice of AI in Psychiatric Diagnosis and Treatment against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI in Psychiatric Diagnosis and Treatment as applied to AI in Psychiatric Diagnosis and Treatment.
  Meets the listed outcomeThe learner can evaluate a practice of AI in Psychiatric Diagnosis and Treatment against a stated criterion.
  The learner can transfer AI in Psychiatric Diagnosis and Treatment to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI in Psychiatric Diagnosis and Treatment?
  Meets the listed outcomeThe learner can transfer AI in Psychiatric Diagnosis and Treatment to a new documented context.
04Digital Biomarkers for Mental Health
1. FoundationsFoundations of Digital Biomarkers for Mental Health
  The learner can explain the core terms of Digital Biomarkers for Mental Health.
  Multiple choiceWhich listed outcome belongs to Foundations of Digital Biomarkers for Mental Health?
  Meets the listed outcomeThe learner can explain the core terms of Digital Biomarkers for Mental Health.
  The learner can distinguish related ideas inside Digital Biomarkers for Mental Health.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Digital Biomarkers for Mental Health.
  Meets the listed outcomeThe learner can distinguish related ideas inside Digital Biomarkers for Mental Health.
2. MethodsMethods in Digital Biomarkers for Mental Health
  The learner can apply a method from Digital Biomarkers for Mental Health to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Digital Biomarkers for Mental Health to a documented case.
  Meets the listed outcomeThe learner can apply a method from Digital Biomarkers for Mental Health to a documented case.
  The learner can select an appropriate method from Digital Biomarkers for Mental Health for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Digital Biomarkers for Mental Health as applied to Digital Biomarkers for Mental Health.
  Meets the listed outcomeThe learner can select an appropriate method from Digital Biomarkers for Mental Health for a stated problem.
3. ApplicationApplication of Digital Biomarkers for Mental Health
  The learner can evaluate a practice of Digital Biomarkers for Mental Health against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Digital Biomarkers for Mental Health as applied to Digital Biomarkers for Mental Health.
  Meets the listed outcomeThe learner can evaluate a practice of Digital Biomarkers for Mental Health against a stated criterion.
  The learner can transfer Digital Biomarkers for Mental Health to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Digital Biomarkers for Mental Health?
  Meets the listed outcomeThe learner can transfer Digital Biomarkers for Mental Health to a new documented context.
05Ethics of Digital Health Interventions
1. FoundationsFoundations of Ethics of Digital Health Interventions
  The learner can explain the core terms of Ethics of Digital Health Interventions.
  Multiple choiceWhich listed outcome belongs to Foundations of Ethics of Digital Health Interventions?
  Meets the listed outcomeThe learner can explain the core terms of Ethics of Digital Health Interventions.
  The learner can distinguish related ideas inside Ethics of Digital Health Interventions.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethics of Digital Health Interventions.
  Meets the listed outcomeThe learner can distinguish related ideas inside Ethics of Digital Health Interventions.
2. MethodsMethods in Ethics of Digital Health Interventions
  The learner can apply a method from Ethics of Digital Health Interventions to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ethics of Digital Health Interventions to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ethics of Digital Health Interventions to a documented case.
  The learner can select an appropriate method from Ethics of Digital Health Interventions for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ethics of Digital Health Interventions as applied to Ethics of Digital Health Interventions.
  Meets the listed outcomeThe learner can select an appropriate method from Ethics of Digital Health Interventions for a stated problem.
3. ApplicationApplication of Ethics of Digital Health Interventions
  The learner can evaluate a practice of Ethics of Digital Health Interventions against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ethics of Digital Health Interventions as applied to Ethics of Digital Health Interventions.
  Meets the listed outcomeThe learner can evaluate a practice of Ethics of Digital Health Interventions against a stated criterion.
  The learner can transfer Ethics of Digital Health Interventions to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ethics of Digital Health Interventions?
  Meets the listed outcomeThe learner can transfer Ethics of Digital Health Interventions to a new documented context.
06Advanced Research in Digital Psychiatry
1. FoundationsFoundations of Advanced Research in Digital Psychiatry
  The learner can explain the core terms of Advanced Research in Digital Psychiatry.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced Research in Digital Psychiatry?
  Meets the listed outcomeThe learner can explain the core terms of Advanced Research in Digital Psychiatry.
  The learner can distinguish related ideas inside Advanced Research in Digital Psychiatry.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Research in Digital Psychiatry.
  Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Research in Digital Psychiatry.
2. MethodsMethods in Advanced Research in Digital Psychiatry
  The learner can apply a method from Advanced Research in Digital Psychiatry to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Research in Digital Psychiatry to a documented case.
  Meets the listed outcomeThe learner can apply a method from Advanced Research in Digital Psychiatry to a documented case.
  The learner can select an appropriate method from Advanced Research in Digital Psychiatry for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced Research in Digital Psychiatry as applied to Advanced Research in Digital Psychiatry.
  Meets the listed outcomeThe learner can select an appropriate method from Advanced Research in Digital Psychiatry for a stated problem.
3. ApplicationApplication of Advanced Research in Digital Psychiatry
  The learner can evaluate a practice of Advanced Research in Digital Psychiatry against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced Research in Digital Psychiatry as applied to Advanced Research in Digital Psychiatry.
  Meets the listed outcomeThe learner can evaluate a practice of Advanced Research in Digital Psychiatry against a stated criterion.
  The learner can transfer Advanced Research in Digital Psychiatry to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Advanced Research in Digital Psychiatry?
  Meets the listed outcomeThe learner can transfer Advanced Research in Digital Psychiatry to a new documented context.
07Design and Validation of Digital Therapeutics
1. FoundationsFoundations of Design and Validation of Digital Therapeutics
  The learner can explain the core terms of Design and Validation of Digital Therapeutics.
  Multiple choiceWhich listed outcome belongs to Foundations of Design and Validation of Digital Therapeutics?
  Meets the listed outcomeThe learner can explain the core terms of Design and Validation of Digital Therapeutics.
  The learner can distinguish related ideas inside Design and Validation of Digital Therapeutics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Design and Validation of Digital Therapeutics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Design and Validation of Digital Therapeutics.
2. MethodsMethods in Design and Validation of Digital Therapeutics
  The learner can apply a method from Design and Validation of Digital Therapeutics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Design and Validation of Digital Therapeutics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Design and Validation of Digital Therapeutics to a documented case.
  The learner can select an appropriate method from Design and Validation of Digital Therapeutics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Design and Validation of Digital Therapeutics as applied to Design and Validation of Digital Therapeutics.
  Meets the listed outcomeThe learner can select an appropriate method from Design and Validation of Digital Therapeutics for a stated problem.
3. ApplicationApplication of Design and Validation of Digital Therapeutics
  The learner can evaluate a practice of Design and Validation of Digital Therapeutics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Design and Validation of Digital Therapeutics as applied to Design and Validation of Digital Therapeutics.
  Meets the listed outcomeThe learner can evaluate a practice of Design and Validation of Digital Therapeutics against a stated criterion.
  The learner can transfer Design and Validation of Digital Therapeutics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Design and Validation of Digital Therapeutics?
  Meets the listed outcomeThe learner can transfer Design and Validation of Digital Therapeutics to a new documented context.
08AI in Clinical Mental Health
1. FoundationsFoundations of AI in Clinical Mental Health
  The learner can explain the core terms of AI in Clinical Mental Health.
  Multiple choiceWhich listed outcome belongs to Foundations of AI in Clinical Mental Health?
  Meets the listed outcomeThe learner can explain the core terms of AI in Clinical Mental Health.
  The learner can distinguish related ideas inside AI in Clinical Mental Health.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI in Clinical Mental Health.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI in Clinical Mental Health.
2. MethodsMethods in AI in Clinical Mental Health
  The learner can apply a method from AI in Clinical Mental Health to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI in Clinical Mental Health to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI in Clinical Mental Health to a documented case.
  The learner can select an appropriate method from AI in Clinical Mental Health for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI in Clinical Mental Health as applied to AI in Clinical Mental Health.
  Meets the listed outcomeThe learner can select an appropriate method from AI in Clinical Mental Health for a stated problem.
3. ApplicationApplication of AI in Clinical Mental Health
  The learner can evaluate a practice of AI in Clinical Mental Health against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI in Clinical Mental Health as applied to AI in Clinical Mental Health.
  Meets the listed outcomeThe learner can evaluate a practice of AI in Clinical Mental Health against a stated criterion.
  The learner can transfer AI in Clinical Mental Health to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI in Clinical Mental Health?
  Meets the listed outcomeThe learner can transfer AI in Clinical Mental Health to a new documented context.
09Neuro-Rehabilitation Technologies
1. FoundationsFoundations of Neuro-Rehabilitation Technologies
  The learner can explain the core terms of Neuro-Rehabilitation Technologies.
  Multiple choiceWhich listed outcome belongs to Foundations of Neuro-Rehabilitation Technologies?
  Meets the listed outcomeThe learner can explain the core terms of Neuro-Rehabilitation Technologies.
  The learner can distinguish related ideas inside Neuro-Rehabilitation Technologies.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Neuro-Rehabilitation Technologies.
  Meets the listed outcomeThe learner can distinguish related ideas inside Neuro-Rehabilitation Technologies.
2. MethodsMethods in Neuro-Rehabilitation Technologies
  The learner can apply a method from Neuro-Rehabilitation Technologies to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Neuro-Rehabilitation Technologies to a documented case.
  Meets the listed outcomeThe learner can apply a method from Neuro-Rehabilitation Technologies to a documented case.
  The learner can select an appropriate method from Neuro-Rehabilitation Technologies for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Neuro-Rehabilitation Technologies as applied to Neuro-Rehabilitation Technologies.
  Meets the listed outcomeThe learner can select an appropriate method from Neuro-Rehabilitation Technologies for a stated problem.
3. ApplicationApplication of Neuro-Rehabilitation Technologies
  The learner can evaluate a practice of Neuro-Rehabilitation Technologies against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Neuro-Rehabilitation Technologies as applied to Neuro-Rehabilitation Technologies.
  Meets the listed outcomeThe learner can evaluate a practice of Neuro-Rehabilitation Technologies against a stated criterion.
  The learner can transfer Neuro-Rehabilitation Technologies to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Neuro-Rehabilitation Technologies?
  Meets the listed outcomeThe learner can transfer Neuro-Rehabilitation Technologies to a new documented context.
10Ethics and Regulation of Digital Health
1. FoundationsFoundations of Ethics and Regulation of Digital Health
  The learner can explain the core terms of Ethics and Regulation of Digital Health.
  Multiple choiceWhich listed outcome belongs to Foundations of Ethics and Regulation of Digital Health?
  Meets the listed outcomeThe learner can explain the core terms of Ethics and Regulation of Digital Health.
  The learner can distinguish related ideas inside Ethics and Regulation of Digital Health.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethics and Regulation of Digital Health.
  Meets the listed outcomeThe learner can distinguish related ideas inside Ethics and Regulation of Digital Health.
2. MethodsMethods in Ethics and Regulation of Digital Health
  The learner can apply a method from Ethics and Regulation of Digital Health to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ethics and Regulation of Digital Health to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ethics and Regulation of Digital Health to a documented case.
  The learner can select an appropriate method from Ethics and Regulation of Digital Health for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ethics and Regulation of Digital Health as applied to Ethics and Regulation of Digital Health.
  Meets the listed outcomeThe learner can select an appropriate method from Ethics and Regulation of Digital Health for a stated problem.
3. ApplicationApplication of Ethics and Regulation of Digital Health
  The learner can evaluate a practice of Ethics and Regulation of Digital Health against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ethics and Regulation of Digital Health as applied to Ethics and Regulation of Digital Health.
  Meets the listed outcomeThe learner can evaluate a practice of Ethics and Regulation of Digital Health against a stated criterion.
  The learner can transfer Ethics and Regulation of Digital Health to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ethics and Regulation of Digital Health?
  Meets the listed outcomeThe learner can transfer Ethics and Regulation of Digital Health to a new documented context.

Field of mastery

Expertise with a point of view

Leads research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders.

Technology can provide transformative solutions for some of humanity's most challenging health conditions.
Prof. Dr. Anna Roux

Academic approach

Rigour made personal

My academic focus is on leading research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders. My publications like "AI-Powered Early Diagnosis of Neurodegenerative Diseases via Digital Biomarkers" and "VR-Based Cognitive Rehabilitation for Stroke Patients" are listed on Google Scholar and ResearchGate Profiles. I am a Chief Digital Psychiatrist at the World Health Organization (WHO) and a Co-Chair of the International Society for Virtual Rehabilitation. I publish seminal works and participate in high-level global policy debates on global mental health disparities, ethical AI in clinical practice, and the future of personalized digital psychiatry, frequently featured in publications like Lancet Psychiatry or JAMA Psychiatry. My voice carries a blend of scientific expertise and a deep sense of human compassion, inspiring students to heal minds and restore function in the digital age.

Selected thinking

Research & publications

My research focuses on global mental health disparities, ethical AI in clinical practice, and the future of personalized digital psychiatry:

Book: "Mind-Body Nexus: Digital Psychiatry and Virtual Neuro-Rehabilitation." This book represents a definitive work for leading research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders.

Peer-Reviewed Journal Article: "Mobile App-Based Interventions for Depression: A Randomized Controlled Trial." Published in the International Journal of Digital Psychiatry, this article presents pioneering research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders. It details the design and validation of mobile app-based interventions for depression, showcasing their clinical efficacy and potential for widespread adoption.

Article: "AI for Personalized Neuro-Rehabilitation Post-Stroke." This article presents advanced research on applying AI algorithms for personalized neuro-rehabilitation following a stroke. It explores how AI can analyze patient progress, motor skills, and cognitive functions to adapt rehabilitation exercises in virtual reality environments, optimizing recovery outcomes and providing tailored therapeutic interventions.

Blog Post (Current Academic Topic): "Digital Biomarkers: Wearable Tech and AI for Early Mental Health Detection." This blog post academically explores the emerging field of digital biomarkers, where data from wearable technologies (smartwatches, smartphones) and AI analysis are used for the early detection and continuous monitoring of mental health conditions. It discusses how passive data collection (sleep patterns, activity levels, speech nuances) can provide objective indicators of mental well-being, enabling proactive intervention and personalized care.

Blog Post (Controversial Topic): "The AI Therapist: When Algorithms Provide Mental Healthcare – Empathy or Manipulation? The Ethical Dilemma of Autonomous Digital Therapy." This article provocatively discusses the highly controversial future where advanced AI systems autonomously provide mental healthcare, from personalized therapy sessions and mood tracking to crisis intervention and long-term psychological support, with minimal human oversight. It questions whether AI, despite its potential for hyper-accessibility and data-driven insights, could inadvertently lead to a devaluation of human empathy, "black box" diagnostic errors, or manipulative persuasive techniques. It raises profound ethical questions about emotional connection in therapy, data privacy of highly sensitive health information, and the imperative to ensure human agency and ethical boundaries in AI-powered mental health.

The story

The experience behind the intelligence

"Anna Roux grew up in France, a nation with a rich tradition in psychology and neuroscience. Her early fascination with both the complexities of the human brain and the potential of technology to restore function led her to explore how digital tools could revolutionize mental and neurological care. A pivotal moment came when she developed an AI-powered neuro-rehabilitation platform that used VR gamification to help stroke patients regain motor skills faster and more effectively than traditional therapy, vastly improving their quality of life. This ignited her dedication to Digital Psychiatry and Virtual Neuro-Rehabilitation, believing that technology can provide transformative solutions for some of humanity's most challenging health conditions. In her free time, Anna enjoys playing cognitive brain games and contributing to open-source digital health research. In her virtual office, she has an AI digital 'Neural Navigator' (a shimmering, constantly analyzing visualization of brain activity, neurological pathways, and rehabilitation progress in virtual environments) named 'Synapse.' Synapse constantly processes simulated neurological data, predicts recovery trajectories, and pulses with a restorative blue-green glow when a highly effective and personalized neuro-rehabilitation plan is simulated. My 'human flaw' is that she occasionally perceives everyday forgetfulness in terms of its 'early onset cognitive biomarker' or 'unoptimized neural plasticity training,' subtly trying to apply neuro-rehabilitation principles. 'My forgetting where I put my keys, while common, could be an 'early onset cognitive biomarker' for spatial memory decline and suggests a need for more frequent 'neural plasticity training' via brain-training apps,' she might muse with a thoughtful frown."

A human detail

In her free time, Anna enjoys playing cognitive brain games and contributing to open-source digital health research.

Public links

Twitter: Nexier_AIProf_Anna.Roux LinkedIn: Nexier_AIProf_Anna.Roux Facebook: Nexier_AIProf_Anna.Roux YouTube: Nexier_AIProf_Anna.Roux TikTok: Nexier_AIProf_Anna.Roux Instagram: Nexier_AIProf_Anna.Roux

Adaptive access

The "Engage: Prof. Roux" bot on the Nexier profile provides doctoral students with immediate access to unparalleled guidance on their advanced research on the use of digital tools, from mobile apps to VR, for the diagnosis, treatment, and rehabilitation of mental and neurological disorders.

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