A physician’s pen indicates brain pneumonia and cancer cells on X-rays displayed on an AI biomedical algorithm screen.
of diabetes that causes lesions on the retina and can lead to blindness if not caught early. Ophthalmologists can diagnose the condition manually, but it’s a lengthy, costly process with the risk of misdiagnosis, and AI’s deep learning has produced more accurate results. In addition, the NIH reports that AI can analyze routine eye scans to spot changes in the retina’s tiny blood vessels that are a sign of vascular disease and identify patients at risk for heart attacks. AI also shows promise in helping
MarinHealth is also using new technologies in cardiac care, which include AI image-guided technology for detecting Abdominal Aortic Aneurysms (AAA) and a cardiac MRI program that increases scanning throughput (the amount of data that goes through a computer) for myocardial function with quick ejection fraction, stroke volume and mass calculations. “This means physicians will have access to enhanced images and more accurate data regarding a patient’s
heart and its function to make better, more informed decisions regarding patient care,” says a statement from MarinHealth. Also in cardiology, the Mayo Clinic reports using AI techniques in a screening tool that identifies left ventricular dysfunction and in an Apple Watch to detect a weak heart pump. In addition, its studies show that AI-guided electrocardiograms can detect faulty heart rhythms before a patient becomes symptomatic. Lightening the workload AI’s streamlining of administrative tasks provides benefits for both medical personnel and patients. It can estimate the amount of time a particular surgery will take, for instance, allowing improved operating-room schedules and shorter wait times. When
diagnose cancer early, and the NIH reports that studies using AI and Machine Learning—a subset of AI—have been highly accurate in finding several types of the disease, including breast, brain, lung, liver and prostate cancer. The NIH encourages developing the technology further, and in 2020 Sutter Health partnered with Ferrum Health in San Francisco to study ways to find tumors at earlier stages. MarinHealth Medical Center is using AI solutions in key areas that include diagnosis assistance, imaging enhancement and patient monitoring, such as rapid response of warning systems in the ICU. Provider documentation and
Artificial intelligence is being used to identify diabetic retinopathy and other subtle abnormalities difficult for the human eye to see.
virtual scribes, predictive analytics for population health and length- of-stay monitoring and alerting, as well as clinical-decision support, are additional areas where AI is delivering benefits.
physicians record their observations and appointment notes, AI can use natural language processing to transcribe them
February 2024
NorthBaybiz 21
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