Sameer Shaikh
MD
Dr. Sameer Shaikh is a dual-trained clinician in Emergency Medicine and Critical Care, bringing a wealth of hands-on medical expertise to the forefront of AI in healthcare. As a Royal College Clinician Educator, he has years of teaching and education experience, which he now combines with his passion for AI and clinical practice. He co-founded The Neural Medwork, a free educational blog demystifying AI concepts for clinicians that has active followers worldwide, and Inflective AI, a company dedicated to implementing practical AI solutions in healthcare. He is also a medical advisor for CATAIM which is a not-for-profit supporting translational AI projects. Dr. Shaikh's mission is to bridge the gap between clinical practice and AI technology, making AI not just a buzzword, but a tool that truly augments the lives of everyday clinicians.
Amit Kumar Dey
MBBS, MD
Dr. Amit Kumar Dey is a distinguished Consultant Physician specializing in Diabetology, Obesity, and Metabolic Disorders with over 13 years of clinical experience. Based in Kolkata, India, he has been recognized for his contributions to diabetes care and technology innovation, receiving multiple awards including the Diabetes Awareness Initiative Award at Diabetes India 2020, the JPEF2023 Award, and the American College of Physicians (ACP) India Chapter Governors Recognition Award in 2024 for his work in Artificial Intelligence in Healthcare. Certified by the American Board of Artificial Intelligence in Medicine (ABAIM), he is a Fellow of the Royal Society of Public Health (UK) and Diabetes India (DI), and a key advisory member of the ACP India Chapter. Dr. Dey is the Founder Chair of Doctors AI, a medical community connecting over 2000 healthcare professionals on AI-related topics. He serves as an associate editor at JMIR Diabetes, and as a faculty member at the National Diabetes Education Program (NDEP). He has published extensively in peer-reviewed journals, contributed to book chapters, and presented at numerous national and international conferences. His research interests include diabetes management in the elderly, continuous glucose monitoring (CGM) in gestational diabetes, and the application of AI in precision diabetes care. He is also the host of the widely acclaimed podcast series “MedAI – Decoding AI in Healthcare,” which has reached a global audience in over 60 countries.
Anirban Bhattacharyya
MD, MS
Senior Associate Consultant, Critical Care Medicine, Mayo Clinic Florida.Assistant Professor of Medicine, Mayo Clinic College of Medicine. Dr. Bhattacharyya is a critical care medicine trained physician. He has completed a Master’s in Public Health and currently completing his training in applied clinical informatics from Vanderbilt University. His current research efforts focus on creation of and implementation of machine learning based projects to either optimize workflow or to improve understanding of disease processes. Dr Bhattacharyya has also participated in the ESICM and SCCM datathons and was part of the winning teams.
Avneesh Khare
MBBS, MD, MBA
Dr Avneesh Khare, MBBS, MD, MBA, is a seasoned educator, thought leader, advisor and consultant in AI and emerging technologies in medicine. Certified by the American Board of Artificial Intelligence in Medicine (ABAIM), he has over ten years of past clinical experience. As the co-founder of Doctors AI and a consultant at BrainX AI, Dr Khare contributes to advancing AI and ML in healthcare for good. He has been actively involved with the NAMS (India) Taskforce on AI in Healthcare and is the creator of the 'Med AI' capsule newsletter. Recognized as a top voice on LinkedIn, he has been invited as a panelist at the G20 (India) consultation and has been featured in Forbes and at Times Square.
Program description:
Learn from the AI in healthcare clinician educators from around the world on how to get started, accelerate your research work and collaborate to developed AI in healthcare solutions. Learn the reasons why AI in healthcare is gaining interest amongst clinicians and various opportunities to get started. The panelist discuss goal setting, resources available and defining success for clinicians who are looking to learn and work on AI in healthcare. Difficult decisions such as should one learn programming and finding the right courses made easy by the panelists.
Related publication: Mathur P, Arshad H, Grasfield R, et al. (October 27, 2024) Navigating AI: A Quick Start Guide for Healthcare Professionals. Cureus 16(10): e72501.