The Radiology AI Handbook

Dr Adam E. M. Eltorai, MD, PhD completed his graduate studies in Biomedical Engineering and Biotechnology along with his medical degree from Brown University. His work has spanned the translational spectrum with a focus on medical technology innovation and development. Dr. Eltorai has published numerous articles and books.

• PART I:  BACKGROUND1. Market overview, growth, and why2. Fundamental concepts (e.g. AI, ML), vocabulary 3. Technology principles (e.g. modelling, learning methods, deep learning, sparse coding, big data) PART II: APPLICATIONS 1. Breast (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs) 2. Cardiovascular (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)3. Chest (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)4. Emergency (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)5. Gastrointestinal (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)6. Genitourinary (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)7. Head and neck (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)8. Musculoskeletal (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)9. Neuroradiology (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)10. Paediatric (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)11. Interventional (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)12. Nuclear (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)PART III: DEVELOP YOUR APPLICATION13. Problem (ideation process, what problem are you solving, for whom, value prop, special sauce)14. Team (who you need, roles) 15. R&D, validation process 16. Regulatory, quality, ethical, legalPART IV: COMMERCIALIZATION17. Routes of commercialization18. Funding- who, how, economics, power19. Cases studies (stories of successful rad AI ventures)

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