Two bioinformatics experts have used AI to accurately estimate regional COVID infection rates, aka seroprevalence, in all 50 states and 50 hard-hit countries.
The plan is to draw health data from every available source to continuously nudge individuals toward not only appropriate medical care but also healthier lifestyles.
Computer engineers have produced a deep learning framework for very quickly fine-tuning vaccines to fight emerging variant strains of COVID-19.
The FDA has OK’d AI software that can predict worsening condition in ICU patients up to eight hours before the falloff produces symptoms.
AI has proven capable of automatically detecting looming heart trouble on CT scans taken for lung issues like lung cancer, pulmonary embolism and pneumonia.
The idea is to head off serious gathering threats without getting thrown off the scent by strains unlikely to proliferate.
AI melanoma detectors that equaled or bettered dermatologists in clinical trials have stumbled on the way to the real world of patient care.
The tools could be used by primary care providers to head off adverse respiratory events and suboptimal healthcare utilization.
An AI application that interprets MRI scans of the brain for signs or confirmation of injury has received 510(k) clearance from the FDA.
Researchers have found that some AI models do better, on average, than expert psychiatrists at the difficult task.
Gastroenterologists need not fear being replaced by machines—and patients don’t have to worry about robot colonoscopists.
Academic experts in disaster response have developed an AI-based simulation model that accurately predicts ebbs and flows in traffic at drive-through vaccination stations.
Two different companies announced that they are recalling all lots of the medication.
CardioSmart, an online resource for both patients and clinicians, has a new editor.
The funding includes $8.5 billion in American Rescue Plan resources for providers who treat Medicaid, Children's Health Insurance Program and Medicare patients.