Medtech Leaders Discuss Snakebite App and Other AI Opportunities

At AdvaMed's recent Digital Medtech Conference, held at a conference center nestled inside San Francisco's growing UCSF Mission Bay campus, AdvaMed Chief Strategy Officer Andrew Fish asked for a show of hands: how many of your companies develop products that use artificial intelligence? About 75% of the crowd raised their hands. For years, many have looked to AI and machine learning as keys to transforming healthcare, medical devices included. Today, we're seeing real ground broken, especially in diagnostics and software as a medical device (SaMD). Is AI really ready for prime time in medtech? The panelists in a discussion called "Demystifying AI" discussed the challenges that remain and the opportunities already at work. Adjust Expectations In 2017, Stanford researchers developed an algorithm that can recognize skin cancers with an accuracy rate comparable to dermatologists. In some cases, the machine outperformed humans. Should we expect even greater accuracy for medical devices? The exactness needed for a medtech algorithm depends on intended use, said Sam Surette, regulatory affairs and quality assurance manager for Bay Labs, a San Francisco-based medical technology company that applies AI cardiovascular imaging. Don’t burn out your engineers in a quest for 100% perfection added Pat Baird, senior regulatory specialist and head of global software standards for Philips. Shoot for human-level accuracy first, then aim for slightly better. Suret...
Source: MDDI - Category: Medical Devices Authors: Tags: Digital Health Source Type: news