Researchers have used AI and 3D modeling to identify more than 100 heretofore undiscovered protein complexes and classify more than 700 that were known but until now remained obscure.

Researchers have used deep learning to predict success, failure or complications in transplanted kidneys by analyzing pathology slides at scale.

Cardiology experts utilized more than 1.5 million ECGs performed over 35 years to develop their tool.

USC’s Signal Analysis and Interpretation Laboratory built the AI model with transcripts from more than 1,100 real conversations with patients. 

“With new mutations of the virus with higher transmission rates, it is imperative to diagnose positive cases as quickly and accurately as possible,” researchers wrote. 

Current trial-and-error approaches may force patients to suffer through severe depression for months, leading to loss of employment, marriage or life. 

One specialist described the findings as "revolutionary," noting that the system could help save health systems significant money. 

The new center’s founders say they’ll prioritize addressing healthcare disparities associated with the disease itself and with other types of dementia.  

Industry researchers challenged a machine learning model to predict failure to heal at four, eight and 12 weeks after initial treatment.

From AIin.Healthcare’s sister outlets Cardiovascular Business, Health Imaging and Radiology Business: