Imaging
E.mersion Studios CEO and creative director David Bolinsky describes how artificial intelligence helps him draw accurate representations of human anatomy – and discusses how image generators’ hallucinations affect scientific illustration.
Dr. Gerald Lip of the U.K.'s NHS Grampian says that using AI algorithms has allowed a shrinking pool of radiologists to work more efficiently and provide test results in three days, instead of two weeks.
Pillbot allows gastroenterologists to examine a patient's stomach virtually through a drone the patient swallows, says Torrey Smith, cofounder and CEO of Endiatx, which develops the technology.
Sponsored
Jayden Jung, head of business development at AIRS Medical, discusses SwiftMR, the company's AI-powered product that shortens MRI scan times by an average of 40% without sacrificing image quality so hospitals can scan 30% more patients.
AI-powered radiology tools aren't yet ready to make diagnoses; they must return accurate results and save time to be truly useful to burned-out radiologists, says Dr. Benoit Desjardins, University of Pennsylvania radiology professor.
Sponsored
According to Heuron CEO Myung-Jin Shin, the company's AI software can identify hemorrhages and assess stroke severity in under three minutes by analyzing a single scan. The company claims to be the first to diagnose Parkinson's via MRI.
Kaiser Permanente Georgia is getting more patients booked and into imaging, thanks to new equipment that completes PT scans in half the time. It's also improving patient experiences and reducing duplication, says Heidi Veltman, VP & COO.
Steven Osborne, Medweb's director of federal business, discusses the company's new teledermatology app, which compresses the highest-resolution images a patient's phone can take without compromising data quality for a doctor's review.
AI could identify early signs of heart disease and even Alzheimer’s in ocular images. But Kerry Goetz, associate director, NEI Office of Data Science and Health Informatics, says a lack of interoperability keeps this image data out of EHRs.
Dr. Benoit Desjardins, professor of radiology at Penn Medicine, describes how automation and AI-powered analysis are transforming clinical imaging workflows.