Medical Detection Dogs

Early signs of one of the most common reproductive cancers may now be spotted with near-perfect accuracy, thanks to a groundbreaking artificial intelligence model. For years, diagnosing endometrial cancer required invasive procedures,

Investigators employed artificial intelligence to characterize tissue samples of high-risk NMIBC that were likely to recur or progress after treatment with intravesical bacillus Calmette-Guérin (BCG).

In what's expected to soon be commonplace, artificial intelligence is being harnessed to pick up signs of cancer more accurately than the trained human eye. This latest AI model has a near 100% success rate and serves as a clear sign of things to come.

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders share similarities,

This review discusses the current state of multicancer early detection tests, the role of machine learning in their development, and their implications for oncology practice and patient care.

with real-time stream processing, a breakthrough that significantly enhances early disease detection. Mahitha Adapa, a researcher in this field, has pioneered an innovative system that integrates advanced data analytics, machine learning, and IoT technology to transform the speed and accuracy of public health monitoring.

Managing livestock health in remote areas is no easy task, but AI motion cameras may soon provide an automated way to detect diseases and monitor calving rates.

One trend CB Insights analysts are watching is how AI is helping patients engage with health systems before the diagnostic process begins and to flag diseases earlier.