Soham is a current 1st medical student at Kentucky College of Osteopathic Medicine. He is particularly interested in artificial intelligence, digital medicine solutions, and health disparities. Soham has been involved with and conducted several public health centered research projects.
Sach is a current 2nd year medical student at Georgetown University School of Medicine. He has particular interests in the cross section of dermatology, artificial intelligence, and healthcare innovation. Sach has been published in several prestigious peer-reviewed journals such as the Journal of the American Academy of Dermatology (JAAD).
Specializing in the strategic development and scaling of solutions within Computer Vision and Machine Learning, Sam is a proven Software Engineer known for delivering impactful solutions. Holding a patent in synthetic image generation, Sam’s generative AI model processes over 400,000 photos daily within minutes of upload. Sam has a passion for software architecture, machine learning, and scaling software systems and teams.
Assessing the accuracy, usefulness, and readability of artificial-intelligence-generated responses to common dermatologic surgery questions for patient education: A double-blinded comparative study of ChatGPT and Google Bard
Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study
Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study
Large language models propagate race-based medicine
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning
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