Artificial General Intelligence in Healthcare

The course “Artificial General Intelligence (AGI) in Healthcare” offers a comprehensive exploration into the evolving role of human-level artificial intelligence within the medical and healthcare ecosystem. Beginning with foundational concepts, students will first learn the critical distinctions between AGI and narrow AI, and the defining characteristics of AGI such as reasoning, transfer learning, and autonomy. The course then discusses why AGI is essential to healthcare, setting the stage with a global view of the current state of AGI research. Students will trace technological milestones from expert systems to deep learning and AGI, gaining historical context supported by real-world case studies like IBM Watson, DeepMind’s AlphaFold, and GPT’s role in clinical research. A detailed analysis of AI’s current limitations in healthcare further clarifies why AGI represents the next frontier.

Diving deeper, learners will study leading cognitive architectur

Who this course is for:

• Healthcare professionals such as doctors, nurses, medical researchers, and clinical administrators who want to understand how AGI will transform diagnostics, treatment planning, and patient care.
• AI and data science professionals interested in applying their technical expertise to healthcare challenges and learning about AGI’s broader capabilities.
• Biomedical engineers, bioinformaticians, and genomics researchers seeking to explore how AGI can enhance personalized medicine, drug development, and precision therapies.
• Healthcare policymakers, strategists, and public health officials looking to anticipate the regulatory, ethical, and operational impacts of AGI on healthcare systems.
• Students and academic researchers in fields such as artificial intelligence, cognitive science, healthcare innovation, neuroscience, public health, and medical informatics.