Artificial Intelligence
VIDEO: Genomics, AI will work hand in hand for future of glaucoma management
BARCELONA, Spain — The future of glaucoma management will be enabled by AI and genomics, according to a speaker at Glaucoma Day during the European Society of Cataract and Refractive Surgeons meeting.
AI holds ‘transformative potential’ for gynecology, obstetrics and menopause care
CHICAGO — The benefits of AI-assisted technology in medicine are rapidly extending to obstetrics and gynecology, with programs in development or already deployed to predict everything from mode of delivery during labor to cervical cancer risk.
VIDEO: Potential of AI in breast cancer diagnostics
In this video interview, Sara M. Tolaney, MD, MPH, highlights the integration of artificial intelligence in radiologic reads to assist technicians in detecting abnormalities during breast cancer screenings.
AI decision support tool did not improve outcomes among patients with suspected MI
An AI decision support tool embedded in routine care did not meaningfully improve outcomes for patients presenting to the ED with myocardial injury, but showed signs of benefit in an all-comer cohort, a speaker reported.
Q&A: AI cuts documentation burden, allows HCPs more time for ‘truly practicing medicine’
An AI-driven application reduced the time needed for documentation of patient visits, allowing providers more time for shared decision-making and communication with patients, a pilot study showed.
Risks for bias high, unclear in 80% of AI models for predicting RA treatment response
The use of machine learning models to predict treatment response in rheumatoid arthritis is increasing, though approximately 80% show “unclear and high risk of bias,” according to data published in Seminars in Arthritis and Rheumatism.
Experts in AI, medicine converge for AIMed24, ‘largest AI in medicine meeting’
Clinicians will gather for AIMed24 to meet with industry leaders and innovators and attend keynotes and workshops to discuss the future of AI implementation in medicine, according to information from the meeting organizers.
Deep-learning model based on retinal images may help assess cardiovascular disease risk
The retinal image-based, deep-learning cardiac BioAge model accurately stratified individuals by traditional cardiovascular disease risk biomarkers, with leukocyte telomere length inversely related to BioAge score, researchers reported.
AI models detect pulmonary embolism early with medical record data
Two machine learning-based models using only medical record data had high accuracy in detecting individuals with and without pulmonary embolism at hospital admission, according to results published in Journal of Medical Internet Research.
‘Push back hard’: Liability negotiation critical when contracting with AI companies
As health care providers contract with artificial intelligence services, the management of liability and risk is a key concern to keep in mind, according to a presenter at the 2024 Association of Women in Rheumatology annual conference.