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Traditional medical imaging works great for people with light skin but has trouble getting clear pictures from patients with darker skin. A Johns Hopkins University–led team found a way to deliver ...
An advanced Johns Hopkins AI model called MAARS combs through underused heart MRI scans and complete medical records to spot hidden scar patterns that signal sudden cardiac death, dramatically ...
A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the ...
A team of researchers from APL and the Johns Hopkins Bloomberg School of Public Health is developing next-generation brain organoid platforms to better understand the effects of mild blast-induced ...
A new AI algorithm is nearly twice as accurate as physicians at forecasting a sudden cardiac arrest in people with ...
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MedPage Today on MSNAI Model Better Predicts Sudden Deaths in Hypertrophic Cardiomyopathy"Supported by MAARS, clinicians can deliver personalized care to their patients and protect them appropriately from SCDA ...
All images at Johns Hopkins imaging centers are read by a breast imaging radiologist. Her team is hoping AI can help doctors spot patients’ cancer earlier, reduce false positives and triage ...
A rendering of a new Johns Hopkins All Children's Hospital pediatric center. It will include a 16-room emergency department, four imaging rooms and four operating theaters.
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