Diagnostics

Researchers have used machine learning to predict wellbeing—not only objective physical condition but also subjective overall health—as a function of demographic, socioeconomic and geographic factors.

The FDA has granted de novo classification to an AI software module that puts a second pair of eyes on colonoscopy videos in real time and is compatible with any endoscope.

The European Union has granted CE mark approval to a breast cancer screening system that combines a thermal imaging device with cloud-hosted AI analytics.

A major collegiate athletic conference is teaming with a top-tier academic healthcare system and a popular fitness technology company to study the utility of wearables for preventing or monitoring infectious diseases in student-athletes.

The FDA has given the all-clear to AI software that measures nodules in the lungs, a tedious but important task for radiologists monitoring changes in these growths over time.

An AI system for diagnosing prostate cancer on biopsy slides has achieved 98%-plus performance in sensitivity, positive predictive value, specificity and negative predictive value.

Noting that multiple sclerosis now affects more people between 50 and 60 than any other age group, researchers have shown how machine-learning gait analysis can help personalize therapy regimens.

Academic researchers in the U.K. have completed a systematic review of 62 representative studies on the use of AI for COVID-19 diagnostics and prognostics on X-rays and CT scans. Their findings may strike some as a setback.  

The FDA has granted 510(k) clearance to clinical decision support software that uses AI to detect small but potentially cancerous lesions in the lungs.

The FDA has blessed an AI-packing armband that checks for biometric patterns pointing to possible SARS-CoV-2 infection in individuals with no symptoms.

Researchers have demonstrated that deep learning models can help neurologists interpret epileptic episodes during and between seizures from relatively few scalp electroencephalography (EEG) readings.

The European Union has granted CE mark approval to a U.S.-based maker of AI software that aids radiologists in distinguishing between benign and malignant lesions on breast ultrasound images.