Stanford-trained Plastic and Reconstructive Surgeon Sina Bari MD is a leading medical device and information technology innovator. His knowledge and expertise are well-respected across the industry as a considered voice in the development of Medical Artificial Intelligence. Dr. Bari arrived at his current career via a meandering route. Following his father's death at age 8, he learned computer programming while translating his mother's computer science textbooks into English. By high school, he had learned advanced UNIX networking and developed biological simulation software using early parallel supercomputers. Working in IT helped pay for college and medical school, where Sina excelled academically. Dr. Bari graduated from the top of his class at Stanford School of Medicine and was chosen as one of only three participants in the noted Stanford Hospital and Clinics' accelerated residency program for plastic and reconstructive surgery. He participated in the Stanford Bioinnovation program, developing devices on the market to reduce infection during peritoneal dialysis.
Learn MoreWith the help of robots, machines, and AI, the future of surgery is getting very exciting. Do you think artificial intelligence could someday take a surgeon’s job? Yes, but it would have to be in conjunction with advanced robotics. Machines will never be able to replace all the human qualities that surgeons bring to their […]
Medical artificial intelligence (AI) has the potential to revolutionize the healthcare industry and bring about significant improvements in patient outcomes and quality of care. However, as with any new technology, important ethical considerations must be taken into account. In this article, we will explore some of the ethical challenges posed by medical AI and examine […]
Medical Artificial Intelligence (AI) has the potential to revolutionize healthcare by providing doctors with new tools for diagnosing and treating patients. However, this technology is not immune to the influence of bias, which can have significant consequences for patient outcomes. In this article, we will explore the impact of bias in medical AI and the […]
As technology continues to advance, the healthcare industry is facing a potential shift in the way medical professionals work. One area where this is particularly relevant is in the field of radiology, where artificial intelligence (AI) is being integrated into the diagnostic process. While this technology has the potential to improve patient care and speed […]