Executives from Geisinger and UNC Health discussed the most impactful ways they have deployed predictive AI across their health systems during a recent virtual panel. At Geisinger, these predictive algorithms are reducing avoidable emergency department admissions, and at UNC, they are helping to identify sepsis before it becomes severe.
Researchers at UPMC and the University of Pittsburgh created and deployed a machine learning algorithm that flags patients who are at high risk for postsurgical complications. The research team recently published research validating the tool in JAMA Network Open — the study found that the health system’s model outperforms the industry standard.
As technology advances, AI-powered tools will increasingly reduce the administrative burdens on healthcare providers.
Nvidia and Medtronic recently announced a collaboration focused on embedding AI into medical devices. The two companies plan to create marketplace for AI applications that will allow developers and clinicians to develop their own algorithms to use on Medtronic’s medical devices.
Virtual care company TytoCare has received FDA clearance for its wheeze detection algorithm, allowing the company to begin commercializing the product in the U.S. The new algorithm is an expansion of Tyto Insights, the company's AI-powered diagnosis support software.
One healthcare AI expert thinks ChatGPT could have dangerous implications for the field if it’s not used with the proper context. People already turn to sources like Reddit and TikTok when they have a question about a medical concern they’re experiencing — Americans putting too much trust in ChatGPT to answer these questions could make this phenomenon a much bigger problem.
Nuance recently added Baptist Health and Einstein Healthcare to its precision imaging network, a platform that allows healthcare providers to adopt AI-powered diagnostic imaging tools at the point of care. Joining the network means physicians will have an easier time quickly figuring out which tools make the biggest impact on patient care, Baptist’s chief medical information officer said.
The future looks bright for the integrated specialty pharmacy model – for health systems, providers, and most importantly, for patients.
Digital health startup K Health has teamed up with Mayo Clinic Platform to develop an algorithm to help clinicians provide personalized hypertension treatment. The model uses Mayo Clinic Platform's collection of de-identified datasets from 10 million patients.
The algorithm maps interactions between different areas of the brain, which can help guide the placement of electrodes for stimulating devices to treat brain diseases, like epilepsy, and movement disorders.
Biofourmis, a Boston-based digital health startup, recently received breakthrough designation for its digital therapeutic to help ensure heart failure patients receive medications that are consistent with clinical evidence at the right dose.
Northwestern University researchers developed an AI system that analyzes patients' chest X-rays to identify Covid-19. A study shows it can classify the images faster and with slightly higher accuracy than radiologists.
Hear executives from Quantum Health, Surescripts, EY, Clinical Architecture and Personify Health share their views on digital transformation in healthcare.
The FDA granted an emergency use authorization to an algorithm developed by Dascena to predict which Covid-19 patients might face unstable blood pressure or respiratory decline.
The regulatory decision comes just a few weeks after the FDA cleared the company's pulmonary embolism product.
Machine learning can transform healthcare and but the interoperability barrier is the first domino that needs to fall in order to realize the full scope of its potential.
“Computer algorithms facilitate doing the right thing,” said Dr. Joseph A. Aloi, professor of endocrinology and metabolism at Wake Forest Baptist Medical Center in Winston-Salem, North Carolina.
A 10-minute assessment with a new device from health IT vendor Cerner can identify patients at high risk of falling with 90 percent accuracy, according to the company.