A review of common risks and pitfalls of incorporating artificial intelligence in medical devices and an overview of the regulatory framework.
During the COVID-19 crisis, digital forces like artificial intelligence have assisted the healthcare industry to focus on patient care while achieving improved efficiency during treatments.
GI Genius is based on machine learning and helps clinicians detect lesions in real time during a colonoscopy.
A return to normalcy requires us to address the limits of current testing approaches and broadly deploy reliable screening tools that facilitate early detection and encourage more focused testing of those at high-risk of spreading the coronavirus.
No longer just “the big company advantage,” Arlen Ward discusses how CM&S is an accepted and viable device industry path to market for large and small medical device makers alike.
Fueled by an urgent need for diagnostic testing to respond to COVID-19, the in-vitro diagnostics market is experiencing explosive growth across Asia and around the globe.
The giant leap forward in virtual health is punctuating the need for reliable, clinically accurate technologies to advance how virtual medicine is delivered.
The agency is seeking solutions to rapidly address public health needs related to the pandemic.
Companies developing technologies that integrate AI need to consider regulatory concerns, community demographics, fitting into existing workflows, technical proficiency of both the hospital personnel and consumers.
While companies developing solutions that address the current pandemic may be receiving an influx of financial support, recovery for companies in other segments of the industry is slow.