AI can support device innovation and surgical training, but it requires data and collaboration.
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.
You’d think there’s not much to the concept of an alarm. A warning sounds in a room, or a red light flashes, and it has your attention. You know something must be wrong. But in a setting where a cacophony of alarming lights and sounds beset healthcare workers on a regular basis, these essential systems become increasingly easy to miss or ignore.
2022 is now upon us, hopefully marking the end of a very disruptive couple of years. Global challenges, from supply chain shortages to remote services, have driven digital innovation and change in the way we work across all sectors. The medical device industry is no different and going forward, having learned from the experiences of 2021.
There is significant opportunity to develop therapies that create new standards of care and initiate a new wave of precision medicine.
Fueled by the need to provide quality care during a global pandemic, healthcare stakeholders are acting quickly to identify new opportunities and overcome challenges.
AI’s arrival in the cardiovascular profession brings a plethora of new opportunities for providing innovative, tailored treatment.
Opportunities for intelligent computer systems span widely, including extensive use in medical science. Artificial intelligence enhances cognition analysis of complex health issues and improves the diagnoses. However, there are still some challenges in terms of data quality, regulations, market penetration and adaptation.
