Having complications after surgery is a huge risk and this is a matter of concern to both the physicians and the patients. Thanks to the new Artificial intelligence (AI) platform, this concern may have a solution. The AI has succeeded in identifying post-surgery complications of patients by automatically obtaining their medical information and delivering them to the doctors’ mobiles.
The system, known as MySurgeryRisk, extracts clinical data in real-time, forming an “analytic pipeline” that sends valuable results to surgeons’ mobile devices.
The findings were published on Jama Network Open after a study involving 58,236 adult patients and 74,417 inpatient surgical procedures. The automated real-time predictions of postoperative complications utilizing mobile device outputs had good performance in clinical settings with expected validation, matching surgeons’ predictive precision, the researchers wrote in their paper.
The platform is based on machine learning and was built using nearly seven years of data from over 74,000 procedures. The system persistently matched surgeons’ precision in predicting surgical results and assisted both physicians and patients by enhancing medical decision-making and decreasing complications.
This is really exciting because we prospectively validated the algorithms that we developed. It was critical to demonstrate that we achieved good predictive performance, said Tezcan Ozrazgat-Baslanti -research assistant professor of medicine and co-developer of MySurgeryRisk.
Azra Bihorac – UF College of Medicine’s senior associate dean for research affairs and a lead researcher on the MySurgeryRisk project, created the system by utilizing enormous amounts of anonymized information from patients’ electronic medical records such as medications, lab results, and sociodemographic data, up to a year before surgery.
During the surgical procedures, the machine also gathered data like vital signs and produced quick, precise predictions of prolonged intensive care unit stays and mortality risk. The AI also calculated the risk of eight major postoperative complications such as sepsis, acute kidney injury, and cardiovascular and neurologic issues, according to the researchers.
MySurgeryRisk, for example, is designed to supplement surgeons’ skills and experience while also expediting their decision-making. The discovery of higher risks during surgery planning may prompt a doctor-patient discussion about whether surgery is truly necessary, according to a press release issued by Bihorac.
According to the University of Florida Health, the system is also distinct and valuable in how it collects data and distributes real-time information to physicians. Thousands of data points that could be relevant to surgical complications, such as information from ventilator monitors and anesthesia devices, are now going uncollected in an operating room.
