The use of artificial intelligence in medical device design is already transforming health care. In this article we look at areas of greatest promise as well as the challenges that must be addressed to realize the promise of AI in device design and engineering.
The dramatic increase of medical devices in patient care has yielded many benefits. However, this technology also carries various risks, including risks to patient privacy, that must be addressed.
RFID and IoT technologies can strengthen the medical device supply chain and improve workflows. The following real-life examples illustrate the benefits that can be achieved.
As technology component pricing continues to rise, MedTech manufacturers are applying proven methods and exploring new approaches to maintain profitability and extend product lifecycles.
When considering use cases and data classification methods for machine learning, image quality, power consumption and latency must be considered.
Pulvinar Neuro has received a $3 million dollar NIH grant to further its research on noninvasive transcranial alternating current stimulation for the treatment of depression.
Large sets of data are collected throughout the surgical continuum, but are chief medical officers and perioperative leaders able to use that data to drive clinical, operational, and financial improvements? Embracing data-driven surgery can help HCOs make use of their data to improve care, reduce costs and better manage staffing and workflow.
Not all use cases are good candidates for machine learning. In this column we look at cases where AI/ML may be appropriate and when building a traditional algorithm to solve a problem is a better choice.
In leveraging the valuable insights delivered by real-time location systems (RTLS) technology, hospitals and healthcare facilities are able to undergo the kind operational overhaul they so desperately need, boosting ROI while simultaneously allowing for better working conditions for staff as well as more focused, immediate care for patients.
A Venture Capitalist recently joked that to fund a startup, all one must do is choose a URL that ends in ‘.ai’. Although he was not serious, it was an acknowledgment that companies pursuing AI are getting much attention, and there is a fear of missing out (FOMO) in the investment community if one of…
