Sina Bari, MD, a plastic and reconstructive surgeon who went to Stanford, is a leading innovator in medical devices and information technology. His knowledge and experience make him a respected voice in improving Medical Artificial Intelligence.

Dr. Bari went roundabout to get to where he is now in his career. After his father died when he was 8, he learned how to program computers by translating his mother's computer science textbooks into English. By the time he was in high school, he knew a lot about UNIX networking and had made software to simulate biology using early parallel supercomputers. Sina went to college and medical school, where he did well academically, with the help of money from his IT job. Dr. Bari was the best student in his Stanford School of Medicine class, and he was chosen to be one of only three people in the accelerated residency program for plastic and reconstructive surgery at the famous Stanford Hospital and Clinics. He took part in the Stanford Bioinnovation program, which led to the creation of devices that can be bought and used to reduce the risk of infection during peritoneal dialysis.

Role and responsibilities now.

In January 2022, Dr. Bari started working at iMerit Technology as the Senior Director of Medical AI, or artificial intelligence. In the three years before, Dr. Bari had started this division and led it from an idea to the leading company in the space, making over $4M ARR while he was in charge.

Medical AI is a fast-changing field where enormous data sets are used to train neural networks to use human intelligence. Dr. Bari's work has made it much easier for patients to get and access care in radiology, endoscopy, robotic surgery, drug development, and drug safety.

As a doctor, Dr. Bari cares a lot about improving the health of his patients, and the wide range of effects that Technology has makes him optimistic about the future. His love of both Technology and medicine has helped him come up with best practices that make it easier and more accurate to provide high-quality training data.

History of Work

Dr. Bari's previous job as chief innovation officer at Evena Medical set him up for success at iMerit. He used the team management skills he learned as a surgeon to create AI products on the Edge for Dermatology, Ophthalmology, and Otolaryngology. As CIO, he oversaw new projects and worked as a medical expert to help the sales team develop and coordinate good sales strategies.

After finishing his residency, Dr. Sina Bari's first full-time job as a surgeon was as a reconstructive and plastic surgery surgeon for the Veterans Administration in Palo Alto, California. After that, he went into private practice as a consultant in plastic surgery.

History in school

Dr. Bari was a web architect in college and medical school. He got his Bachelor of Science in Biochemistry from Duke University in 2000. He then went to medical school at Stanford University and earned his MD in 2006. From 2006 to 2012, he did a residency at Stanford in the skin and soft tissue surgery and plastic and reconstructive surgery.

Through the Bioinnovation program at Stanford, where he worked on developing medical devices as part of his residency, he got back in touch with his love of Technology.

Skills and Experience in the Workplace

Skills

Sina Bari's career has taken him in many different directions, which has given him a wide range of skills. Because of this, he is now a much sought-after and trusted voice in medical AI innovation. At iMerit, he is in charge of the development and management of the Medical Division, from the early stages of product development to the implementation of the product for the end client. In addition, he leads a team of more than 500 people to ensure that goals are met. In 2022, iMerit's Medical Division, led by Dr. Sina Bari, was named the number one company for healthcare data services by a leading market analysis firm that did not ask to be included in the list.

Sina Bari MD was so good at talking to patients that she partnered with three of the top five medical device companies worldwide to help them with their AI projects. He sticks to the medical mantra of being friendly, helpful, and available at work. As a surgeon, he pays close attention to details and has good communication skills that help his projects run smoothly.

Dr. Sina Bari has kept a professional presence throughout his career by giving talks at national and international conferences and publishing in medical journals and white papers for the industry.

His knowledge of regulatory standards and policies has helped him in all of his jobs, and it also helps move the development of new medical AI in the right direction.

Expertise

Dr. Sina Bari is known for his knowledge of data operations, healthcare, medical devices, information technology, healthcare management, medical research, medical regulatory issues, and healthcare information technology.

His area of expertise in medicine is plastic surgery, which includes cosmetic surgery, reconstructive surgery, and specific procedures like breast reconstruction surgery and body contouring.

Successes and Achieved Goals

In March 2017, Dr. Bari had an article in a trade magazine called "Our Medical Future through the Lens of Smart Glasses." Scar Prevention, Treatment, and Revision in Neligan Plastic Surgery: Volume 1 and Overcoming the Learning Curve: A Curriculum-based Model for Teaching Zone II Flexor Tendon Repairs in Plastic Reconstructive Surgery are two examples of book chapters that are about plastic surgery.

Speaking engagements include Getting through the Ground Truth Grind at the 2019 O'Reilly AI Conference, Augmented Reality and Big Data in Medicine at the 2017 Augmented World Expo, and Bringing your Medical AI Projects to Life: Need, Challenge, and Opportunity at ODSC 2020.

Dr. Bari was also the best student in his medical school class and was chosen for the accelerated plastic surgery residency program at Stanford Hospital and Clinics.

Awards

Bari has won many awards for business leadership and research in plastic surgery. When he was in high school, the National Science Foundation named him a Supercomputer Challenge Winner.