A new deep learning model proves that artificial intelligence does not just mimic old diagnostic rules to spot deadly heart valve disease—it finds hidden signals doctors have been missing for decades.
A new machine learning tool measures eye gaze and facial expressions during autism evaluations, but its struggle to distinguish autism from other developmental conditions reveals the limits of automated diagnostics.
By ditching expensive gene sequencing for a simpler neural network and qPCR setup, researchers may have found a way to make early cancer screening practical for local clinics.
A new machine learning pipeline proves that algorithms can label millions of breathing mismatches without losing accuracy, bypassing the human expert bottleneck in intensive care.
A smartphone camera might soon replace the physical throat swab, shifting the front line of infectious disease diagnosis from the clinic to the palm of your hand.
A new machine learning workflow cuts the detection time for superbugs from days to sixty minutes, shifting the battle against drug-resistant hospital infections.