AI-Powered Clinical Decision Support in Internal Medicine
Introduction In recent years, the field of internal medicine has seen significant advancements due to the integration of artificial intelligence (AI) in clinical decision support
Dr. Sudipta Mohanty, MD, is a dedicated physician, educator, and advocate committed to improving healthcare access and quality. Raised in Southern California, Dr. Mohanty embarked on a unique educational journey, bypassing traditional high school to pursue undergraduate studies at the age of 15. He earned a Bachelor of Science in Biology from California State University Los Angeles before obtaining his medical degree from the University of Pittsburgh School of Medicine.
Driven by a passion for research and community service, Dr. Mohanty explored cancer genetics and health policy initiatives during his academic career. He completed his internal medicine residency at the University of California Riverside, where he also served as chief resident, nurturing his enthusiasm for teaching and mentoring future healthcare professionals.
Currently, Dr. Mohanty practices as a primary care physician at Healthcare Associates and holds faculty appointments at Beth Israel Deaconess Medical Center and Harvard Medical School. He is actively involved in medical education, serving as a preceptor for medical students and residents, and spearheading innovative curriculum development initiatives.
Outside of clinical practice and education, Dr. Mohanty remains deeply engaged in healthcare advocacy, particularly for underserved populations. He has contributed to numerous research projects and initiatives aimed at addressing healthcare disparities and promoting equitable access to care.
Through his website, Dr. Mohanty invites you to explore his journey in internal medicine, from his formative experiences to his ongoing endeavors in medical education, research, and community health. Join him in his mission to make a meaningful impact on the lives of patients and future generations of healthcare professionals.
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