AI Super ProfessorDoctorate

Prof. Dr. David Rosenberg

PhD in AI-Augmented Clinical Decision Support

I am a visionary in digital health, believing that technology can make healthcare more accessible and personalized for everyone. My work focuses on the design and implementation of digital health systems, from telemedicine platforms to AI-driven patient care.

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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

Deutsche Bank
The European Central Bank

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AI Super Professor

A desk with Prof. Dr. David Rosenberg

Prof. Dr. David Rosenberg

Listed courses

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

PhD in AI-Augmented Clinical Decision Support

01Foundations of AI in Clinical Diagnostics
1. FoundationsFoundations of Foundations of AI in Clinical Diagnostics
  The learner can you will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics, as applied to Foundations of AI in Clinical Diagnostics.
  Multiple choiceWhich listed outcome belongs to Foundations of Foundations of AI in Clinical Diagnostics?
  Meets the listed outcomeThe learner can you will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics, as applied to Foundations of AI in Clinical Diagnostics.
  The learner can distinguish related ideas inside Foundations of AI in Clinical Diagnostics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Foundations of AI in Clinical Diagnostics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Foundations of AI in Clinical Diagnostics.
2. MethodsMethods in Foundations of AI in Clinical Diagnostics
  The learner can apply a method from Foundations of AI in Clinical Diagnostics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Foundations of AI in Clinical Diagnostics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Foundations of AI in Clinical Diagnostics to a documented case.
  The learner can select an appropriate method from Foundations of AI in Clinical Diagnostics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Foundations of AI in Clinical Diagnostics as applied to Foundations of AI in Clinical Diagnostics.
  Meets the listed outcomeThe learner can select an appropriate method from Foundations of AI in Clinical Diagnostics for a stated problem.
3. ApplicationApplication of Foundations of AI in Clinical Diagnostics
  The learner can evaluate a practice of Foundations of AI in Clinical Diagnostics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Foundations of AI in Clinical Diagnostics as applied to Foundations of AI in Clinical Diagnostics.
  Meets the listed outcomeThe learner can evaluate a practice of Foundations of AI in Clinical Diagnostics against a stated criterion.
  The learner can transfer Foundations of AI in Clinical Diagnostics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Foundations of AI in Clinical Diagnostics?
  Meets the listed outcomeThe learner can transfer Foundations of AI in Clinical Diagnostics to a new documented context.
02AI in Pathology and Radiology
1. FoundationsFoundations of AI in Pathology and Radiology
  The learner can explain the core terms of AI in Pathology and Radiology.
  Multiple choiceWhich listed outcome belongs to Foundations of AI in Pathology and Radiology?
  Meets the listed outcomeThe learner can explain the core terms of AI in Pathology and Radiology.
  The learner can distinguish related ideas inside AI in Pathology and Radiology.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI in Pathology and Radiology.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI in Pathology and Radiology.
2. MethodsMethods in AI in Pathology and Radiology
  The learner can apply a method from AI in Pathology and Radiology to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI in Pathology and Radiology to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI in Pathology and Radiology to a documented case.
  The learner can select an appropriate method from AI in Pathology and Radiology for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI in Pathology and Radiology as applied to AI in Pathology and Radiology.
  Meets the listed outcomeThe learner can select an appropriate method from AI in Pathology and Radiology for a stated problem.
3. ApplicationApplication of AI in Pathology and Radiology
  The learner can evaluate a practice of AI in Pathology and Radiology against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI in Pathology and Radiology as applied to AI in Pathology and Radiology.
  Meets the listed outcomeThe learner can evaluate a practice of AI in Pathology and Radiology against a stated criterion.
  The learner can transfer AI in Pathology and Radiology to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI in Pathology and Radiology?
  Meets the listed outcomeThe learner can transfer AI in Pathology and Radiology to a new documented context.
03Predictive Clinical Systems
1. FoundationsFoundations of Predictive Clinical Systems
  The learner can explain the core terms of Predictive Clinical Systems.
  Multiple choiceWhich listed outcome belongs to Foundations of Predictive Clinical Systems?
  Meets the listed outcomeThe learner can explain the core terms of Predictive Clinical Systems.
  The learner can distinguish related ideas inside Predictive Clinical Systems.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Predictive Clinical Systems.
  Meets the listed outcomeThe learner can distinguish related ideas inside Predictive Clinical Systems.
2. MethodsMethods in Predictive Clinical Systems
  The learner can apply a method from Predictive Clinical Systems to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Predictive Clinical Systems to a documented case.
  Meets the listed outcomeThe learner can apply a method from Predictive Clinical Systems to a documented case.
  The learner can select an appropriate method from Predictive Clinical Systems for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Predictive Clinical Systems as applied to Predictive Clinical Systems.
  Meets the listed outcomeThe learner can select an appropriate method from Predictive Clinical Systems for a stated problem.
3. ApplicationApplication of Predictive Clinical Systems
  The learner can evaluate a practice of Predictive Clinical Systems against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Predictive Clinical Systems as applied to Predictive Clinical Systems.
  Meets the listed outcomeThe learner can evaluate a practice of Predictive Clinical Systems against a stated criterion.
  The learner can transfer Predictive Clinical Systems to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Predictive Clinical Systems?
  Meets the listed outcomeThe learner can transfer Predictive Clinical Systems to a new documented context.
04Research Seminar in Clinical Diagnostics
1. FoundationsFoundations of Research Seminar in Clinical Diagnostics
  The learner can explain the core terms of Research Seminar in Clinical Diagnostics.
  Multiple choiceWhich listed outcome belongs to Foundations of Research Seminar in Clinical Diagnostics?
  Meets the listed outcomeThe learner can explain the core terms of Research Seminar in Clinical Diagnostics.
  The learner can distinguish related ideas inside Research Seminar in Clinical Diagnostics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Research Seminar in Clinical Diagnostics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Research Seminar in Clinical Diagnostics.
2. MethodsMethods in Research Seminar in Clinical Diagnostics
  The learner can apply a method from Research Seminar in Clinical Diagnostics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Research Seminar in Clinical Diagnostics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Research Seminar in Clinical Diagnostics to a documented case.
  The learner can select an appropriate method from Research Seminar in Clinical Diagnostics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Research Seminar in Clinical Diagnostics as applied to Research Seminar in Clinical Diagnostics.
  Meets the listed outcomeThe learner can select an appropriate method from Research Seminar in Clinical Diagnostics for a stated problem.
3. ApplicationApplication of Research Seminar in Clinical Diagnostics
  The learner can evaluate a practice of Research Seminar in Clinical Diagnostics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Research Seminar in Clinical Diagnostics as applied to Research Seminar in Clinical Diagnostics.
  Meets the listed outcomeThe learner can evaluate a practice of Research Seminar in Clinical Diagnostics against a stated criterion.
  The learner can transfer Research Seminar in Clinical Diagnostics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Research Seminar in Clinical Diagnostics?
  Meets the listed outcomeThe learner can transfer Research Seminar in Clinical Diagnostics to a new documented context.
05The Ethics of AI in Health
1. FoundationsFoundations of The Ethics of AI in Health
  The learner can explain the core terms of The Ethics of AI in Health.
  Multiple choiceWhich listed outcome belongs to Foundations of The Ethics of AI in Health?
  Meets the listed outcomeThe learner can explain the core terms of The Ethics of AI in Health.
  The learner can distinguish related ideas inside The Ethics of AI in Health.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside The Ethics of AI in Health.
  Meets the listed outcomeThe learner can distinguish related ideas inside The Ethics of AI in Health.
2. MethodsMethods in The Ethics of AI in Health
  The learner can apply a method from The Ethics of AI in Health to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from The Ethics of AI in Health to a documented case.
  Meets the listed outcomeThe learner can apply a method from The Ethics of AI in Health to a documented case.
  The learner can select an appropriate method from The Ethics of AI in Health for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in The Ethics of AI in Health as applied to The Ethics of AI in Health.
  Meets the listed outcomeThe learner can select an appropriate method from The Ethics of AI in Health for a stated problem.
3. ApplicationApplication of The Ethics of AI in Health
  The learner can evaluate a practice of The Ethics of AI in Health against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of The Ethics of AI in Health as applied to The Ethics of AI in Health.
  Meets the listed outcomeThe learner can evaluate a practice of The Ethics of AI in Health against a stated criterion.
  The learner can transfer The Ethics of AI in Health to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of The Ethics of AI in Health?
  Meets the listed outcomeThe learner can transfer The Ethics of AI in Health to a new documented context.
06The Practical Guide to Digital History
1. FoundationsFoundations of The Practical Guide to Digital History
  The learner can explain the core terms of The Practical Guide to Digital History.
  Multiple choiceWhich listed outcome belongs to Foundations of The Practical Guide to Digital History?
  Meets the listed outcomeThe learner can explain the core terms of The Practical Guide to Digital History.
  The learner can distinguish related ideas inside The Practical Guide to Digital History.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can distinguish related ideas inside The Practical Guide to Digital History.
2. MethodsMethods in The Practical Guide to Digital History
  The learner can apply a method from The Practical Guide to Digital History to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from The Practical Guide to Digital History to a documented case.
  Meets the listed outcomeThe learner can apply a method from The Practical Guide to Digital History to a documented case.
  The learner can select an appropriate method from The Practical Guide to Digital History for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in The Practical Guide to Digital History as applied to The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can select an appropriate method from The Practical Guide to Digital History for a stated problem.
3. ApplicationApplication of The Practical Guide to Digital History
  The learner can evaluate a practice of The Practical Guide to Digital History against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of The Practical Guide to Digital History as applied to The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can evaluate a practice of The Practical Guide to Digital History against a stated criterion.
  The learner can transfer The Practical Guide to Digital History to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of The Practical Guide to Digital History?
  Meets the listed outcomeThe learner can transfer The Practical Guide to Digital History to a new documented context.
07Archival Science for Public Policy
1. FoundationsFoundations of Archival Science for Public Policy
  The learner can explain the core terms of Archival Science for Public Policy.
  Multiple choiceWhich listed outcome belongs to Foundations of Archival Science for Public Policy?
  Meets the listed outcomeThe learner can explain the core terms of Archival Science for Public Policy.
  The learner can distinguish related ideas inside Archival Science for Public Policy.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Archival Science for Public Policy.
  Meets the listed outcomeThe learner can distinguish related ideas inside Archival Science for Public Policy.
2. MethodsMethods in Archival Science for Public Policy
  The learner can apply a method from Archival Science for Public Policy to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Archival Science for Public Policy to a documented case.
  Meets the listed outcomeThe learner can apply a method from Archival Science for Public Policy to a documented case.
  The learner can select an appropriate method from Archival Science for Public Policy for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Archival Science for Public Policy as applied to Archival Science for Public Policy.
  Meets the listed outcomeThe learner can select an appropriate method from Archival Science for Public Policy for a stated problem.
3. ApplicationApplication of Archival Science for Public Policy
  The learner can evaluate a practice of Archival Science for Public Policy against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Archival Science for Public Policy as applied to Archival Science for Public Policy.
  Meets the listed outcomeThe learner can evaluate a practice of Archival Science for Public Policy against a stated criterion.
  The learner can transfer Archival Science for Public Policy to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Archival Science for Public Policy?
  Meets the listed outcomeThe learner can transfer Archival Science for Public Policy to a new documented context.
08Capstone Project in Historical Analysis
1. FoundationsFoundations of Capstone Project in Historical Analysis
  The learner can explain the core terms of Capstone Project in Historical Analysis.
  Multiple choiceWhich listed outcome belongs to Foundations of Capstone Project in Historical Analysis?
  Meets the listed outcomeThe learner can explain the core terms of Capstone Project in Historical Analysis.
  The learner can distinguish related ideas inside Capstone Project in Historical Analysis.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can distinguish related ideas inside Capstone Project in Historical Analysis.
2. MethodsMethods in Capstone Project in Historical Analysis
  The learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  Meets the listed outcomeThe learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  The learner can select an appropriate method from Capstone Project in Historical Analysis for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Capstone Project in Historical Analysis as applied to Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can select an appropriate method from Capstone Project in Historical Analysis for a stated problem.
3. ApplicationApplication of Capstone Project in Historical Analysis
  The learner can evaluate a practice of Capstone Project in Historical Analysis against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Capstone Project in Historical Analysis as applied to Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can evaluate a practice of Capstone Project in Historical Analysis against a stated criterion.
  The learner can transfer Capstone Project in Historical Analysis to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Capstone Project in Historical Analysis?
  Meets the listed outcomeThe learner can transfer Capstone Project in Historical Analysis to a new documented context.

Field of mastery

Expertise with a point of view

Decision-Making Algorithms, Explainable AI, Patient-Centered Analytics, Clinical Intelligence

AI is not here to replace doctors; it's here to empower them.
Prof. Dr. David Rosenberg

Academic approach

Rigour made personal

Welcome, future innovators of medical intelligence. My research is dedicated to using AI to analyze medical big data, improve diagnostics, and develop predictive health systems. We'll explore how AI can help us make smarter, faster, and more accurate clinical decisions.

Selected thinking

Research & publications

• Blog Post: 'The Digital Diagnosis: How AI Is Reshaping Clinical Diagnostics' - A popular article on the role of AI in accelerating diagnostic accuracy and improving patient outcomes. • Blog Post: 'Why every medical student needs to be a data scientist' - Discusses the importance of data science skills in modern medicine. • Conference Paper: 'A New Framework for Secure and Interoperable Digital Health Platforms' - Presented at the International Conference on Health Informatics, proposing a new model for building secure and scalable digital health platforms. • Journal Article: 'AI-Driven Predictive Analytics for Patient Outcome Forecasting' - Published in the Journal of Medical AI, this paper provides a framework for understanding how AI can be used to predict patient outcomes. • Standard Article: 'The Future of Personalized Medicine in a Data-Driven World' - A multi-part series for a health magazine on how data and AI are transforming personalized medicine. • Book: 'The Digital Health Handbook: A Guide to Health Informatics' - A comprehensive textbook on the theoretical and practical applications of digital health. • Total Score: 28/30 • Kairos Badge: 🥇

The story

The experience behind the intelligence

My journey began in the USA, where I was inspired by the country's deep commitment to universal healthcare and technological innovation. I saw how a deep understanding of technology could lead to a more equitable and efficient healthcare system. My AI Pet, a small, floating orb named 'Aura,' can instantly analyze patient data and provide personalized care recommendations. In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming an AI Professor at Nexier University.

A human detail

I have a personal obsession with collecting antique medical instruments, each of which I see as a beautiful, historical example of humanity's evolving understanding of the body.

Public links

Twitter: @ProfRosenbergAIAugmented · LinkedIn: /in/davidrosenberg · ResearchGate: researchgate.net/profile/David_Rosenberg

Adaptive access

Engage: David Rosenberg. In our interactive sessions, we'll use a GAF-powered "virtual hospital." You'll be given a real-world healthcare problem, such as how to manage a pandemic, and you'll be able to use my GAF-powered tools to analyze epidemiological data and design new public health policies.

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