Artificial intelligence

Low YS, Jackson ML, Hyde RJ, Brown RE, Sanghavi NM, Baldwin JD, Pike CW, Muralidharan J, Hui G, Alexander N, Hassan H, Nene RV, Pike[...]

Wang L, Shi Y, Qureshi TA, Xie Y, Gaddam S, Azab L, Wu C, He Y, Deng Z, Javed S, Diwan G, Vendrami CL, Rodriguez[...]

Tang HS, Ebriani J, Yan MJ, Wongvibulsin S, Farshchian M. Artificial Intelligence in Patch Testing: Comprehensive Review of Current Applications and Future Prospects in Dermatology.[...]

Weisman D, Sugarman A, Huang YM, Gelberg L, Ganz PA, Comulada WS. Development of a GPT-4-Powered Virtual Simulated Patient and Communication Training Platform for Medical[...]

Gunes I, Bernstein EJ, Cowper SE, Panse G, Pradhan N, Camacho LD, Page N, Bundschuh E, Williams A, Carns M, Aren K, Fantus S, Volkmann[...]

Kennedy E, Vadlamani S, Lindsey HM, Peterson KS, Dams O'Connor K, Agarwal R, Amiri HH, Andersen RK, Babikian T, Baron DA, Bigler ED, Caeyenberghs K,[...]

Ramai D, Collins B, Ofosu A, Mohan BP, Jagannath S, Tabibian JH, Girotra M, Barakat MT. Deep Learning Methods in the Imaging of Hepatic and[...]

Golub IS, Thummala A, Morad T, Dhaliwal J, Elisarraras F, Karlsberg RP, Cho GW. Artificial Intelligence in Nuclear Cardiac Imaging: Novel Advances, Emerging Techniques, and[...]

Sultan S, Shung DL, Kolb JM, Foroutan F, Hassan C, Kahi CJ, Liang PS, Levin TR, Siddique SM, Lebwohl B. AGA Living Clinical Practice Guideline[...]

Inbar O, Inbar O, Dlin R, Casaburi R. Transitioning from stress electrocardiogram to cardiopulmonary exercise testing: a paradigm shift toward comprehensive medical evaluation of exercise[...]