Artificial intelligence (AI) and machine learning (ML) have influenced medicine in myriad ways, and medical imaging is at the forefront of technological transformation. Recent advances in AI/ML fields have made an impact on imaging and image analysis across the board, from microscopy to radiology. AI has been an active field of research since the 1950s; however, for most of this period, algorithms achieved subhuman performance and were not broadly adopted in medicine.
Jingzhi An is a Ph.D. degree candidate at the Harvard–Massachusetts Institute of Technology Division of Health Science and Technology, with a concentration in electrical engineering, and an M.D. degree candidate at the Duke-NUS Graduate School of Medicine, Singapore. She is interested in quantitative methods for delivering precise and personalized medicine and currently works on physiological closed-loop control for precise delivery of medical comas.