AI can support device innovation and surgical training, but it requires data and collaboration.
Inaccurate data entry, discomfort and privacy concerns are among the issues that developers and designers must address to realize the promise of medical wearables.
The upcoming revision to ISO 10993-17 proposes the use of release kinetics data to support toxicological risk assessments. Manufacturers should expect that this data will be needed to help mitigate the risks identified in exhaustive extraction studies.
Innovative Publishing names new face for MedTech Intelligence
Five Finalists of Annual Pediatric Medical Device Competition Announced
“Addressing unmet needs across pediatric populations is critical to advancing children’s health, and we are delighted to once again work with pioneering companies that seek to bridge this care gap.”
Both legacy players and startups have an important role to play when it comes to medical innovation—they need to work together to meet the increasing demand for minimally invasive treatments, value-based care and innovative, not incremental therapies. This is a mutually beneficial relationship that is key to medical technology development.
Combining imaging technology with artificial intelligence can help address both challenges in healthcare disparities as well as in patient care.
How can AI become a beneficial medical device manufacturing technology? This article reviews some examples of how it excels.
The center is proposing that Philips repair, replace or refund recalled devices manufactured after November 2015.
The catheter is part of the company’s transcatheter pulmonary valve system.
