Ideas and products currently in our research and development phase. These experimental applications explore new approaches to healthcare technology and clinical practice.
34-Billion Parameter AI Medical Imaging Model trained on 1.3 million images from PubMed, medical journals, and clinical databases.
Try Demo →AI trained on UpToDate, PubMed, Cochrane, and major medical databases. Analyzed 100 most common queries to create an objectively superior clinical decision support system.
Explore →Chat rooms for specialist physicians. Answer curbside consults to earn credits and unlock other specialty rooms. Gamified medical collaboration.
Learn More →Interactive audio-based medical education platform. Like UWorld or MKSAP but conversational - learn medicine through dialogue and voice interaction.
Coming Soon →Machine learning models to assess genetic predisposition to common diseases based on genomic data.
Notify Me →AI-powered analysis of histopathology slides for cancer detection and tissue classification.
Preview →Exploring the intersection of clinical practice and machine learning to improve patient outcomes and advance medical research.
We developed Moose, a framework incorporating a Precision-Gated Reward (PGR) mechanism that enforces clinical specificity during training. Achieves 96.4% accuracy when providing differential diagnoses - 10% better than leading public models.
Read ArticleWhy I believe in breaking down barriers to healthcare. From reducing wait times to making diagnoses more accessible, my journey toward democratizing medicine through technology.
Coming SoonImagining a world where anyone, anywhere can access quality healthcare. My vision for a truly borderless telehealth platform that breaks through current limitations.
Coming SoonFrom audio study tools to adaptive learning platforms - how I'm working to bridge the gap between medical education and modern technology to improve work-life balance for students and physicians.
Coming SoonCurrent research initiatives at the intersection of internal medicine and artificial intelligence.
Developing AI systems that assist physicians in diagnostic and treatment decisions while maintaining clinical judgment.
Creating machine learning models to predict patient outcomes and identify high-risk populations.
Advancing computer vision techniques for medical image analysis and diagnostic accuracy improvement.
Exploring ethical implications and bias mitigation strategies for AI implementation in clinical settings.
Practical applications of medical AI research, from research platforms to clinical tools.
Open Research Initiative - A collaborative platform for medical research, enabling researchers worldwide to share findings, datasets, and methodologies.
Visit OpenRI.org →Advanced AI system for medical image analysis, providing rapid and accurate diagnostic insights for radiological studies.
Coming Soon →Suite of medical and productivity applications designed for healthcare professionals on Apple platforms.
Coming Soon →Exciting new tools and platforms at the intersection of medicine and artificial intelligence.
Stay Updated →Bridging the gap between clinical medicine and artificial intelligence research.
I'm an internal medicine physician with a passion for artificial intelligence and its applications in healthcare. My research focuses on developing and validating machine learning models that can improve diagnostic accuracy, predict patient outcomes, and enhance clinical decision-making.
Through this work, I aim to create AI systems that augment rather than replace human expertise, ensuring that technology serves to improve patient care while maintaining the essential human elements of medicine.
When I'm not seeing patients or working on research, I enjoy staying current with the latest developments in machine learning and contributing to the conversation about responsible AI in healthcare.
Let's discuss collaboration opportunities, research ideas, or anything related to medical AI.
I'm always interested in discussing research collaborations, speaking opportunities, or innovative applications of AI in healthcare.