physicianscharter

Acknowledgements

  • Many thanks first to Dr. Scott Campbell, an emergency physician, founding member of the American Board of AI in Medicine, and incredibly gifted AI expert who helped develop the concept for this charter in the first place.

  • Thank you to Dr. Sarah Gebauer for creating the Machine Learning for MDs online community, without which this paper would have struggled to find diverse authorship, as well as Dr. Shoreh Irani for her Physician-Led AI in Medicine Facebook group.

  • Appreciation to Drs. Basil Kahwash, Jane Wang, Oluseyi Fayanju for their edits and suggestions during the writing process, along with Dr. Sarah Gebauer and Dr. Raouf Hajji for their review and editing as well. Graham Walker’s parents (Susan and Don Walker) also provided editing advice, as they have been doing ever since Graham was old enough to write.

  • Thank you to Drs. Edward Yap and Charulata Ramaprasad for providing their opinions as the project was just starting out.

  • Gratitude to Dr. Justin Norden for his leadership in the intersection of AI and medicine, and for providing feedback about the charter as it developed.

  • We look forward to other organizations and partnerships building on and collaborating with this charter — and recommend that we continue to work with expediency in this area, as the world of AI is moving extremely fast, and at a much faster pace than medicine would normally progress. We were inspired by the Coalition for Health AI (CHAI) at https://www.coalitionforhealthai.org/ and the Health AI Partnership at https://healthaipartnership.org/. We also look forward to the work of the National Academy of Medicine’s Health Care Artificial Intelligence Code of Conduct, and hope it will start to provide expedited recommendations as well.

    Finally, this document was born out of the discussions the physician creators of MDCalc, both hopeful-yet-concerned after seeing the power of generative AI in late 2022. MDCalc supported and this project’s work and allowed it to go from vague concept to illustrated, edited, completed execution.