Clinician-centric and evidence-based: Written by doctors for doctors, ensuring contextual clarity in AI adoption.
Comprehensive multispecialty coverage: 30 chapters spanning diagnostics, therapeutics, public health, robotics, generative AI, and more.
Education and training focus: Includes exclusive content on AI literacy, curricular integration, and real-world training models like CCAIM.
Global perspectives: Contributions from Indian and international physicians contextualized to LMICs and developed systems alike.
Cutting-edge developments: Includes content on LLMs, multimodal AI, wearable tech, digital therapeutics, and legal updates.
Practical tools and MCQs: A dedicated self-assessment section with applied clinical questions and AI interpretation examples.
Responsible AI frameworks: Emphasis on fairness, explainability, traceability, and robustness in clinical AI deployment.

No Results found