Machine Learning
Machine learning model predicts small airways disease in patients with asthma
SAN DIEGO — A model that applied machine learning to capnography signals accurately detected small airways disease among patients with asthma, according to a presentation at the American Thoracic Society International Conference.
Noninvasive radiofrequency sensor with machine learning may accurately measure glucose
NEW ORLEANS —A noninvasive device using a radiofrequency sensor may be able to measure glucose levels for people with diabetes in the future, according to a speaker at the AACE Annual Meeting.
Topol: AI-fueled ‘keyboard liberation’ will improve the medical encounter
BOSTON — “We should be embracing [AI] and trying to make this a priority to get this right, because I don’t know any alternative to get us out of this frustration right now outside of this technology,” Eric Topol, MD, said.
Multiple Sclerosis Awareness Month: Latest research, treatments from ACTRIMS 2024
March is Multiple Sclerosis Awareness Month, a time to improve knowledge of and highlight the growing treatment options for progressive types of this degenerative disease.
Online predictive tool may not affect patients’ willingness to undergo TKA
According to published results, use of a predictive tool may not significantly affect patient-reported willingness to undergo total knee arthroplasty at 6 months after use of the tool.
Machine learning AI may enhance automated insulin delivery for type 1 diabetes
An automated insulin delivery system controlled by an artificial intelligence machine learning model may perform just as well as a system using a traditional equation-based insulin dosing algorithm, according to a speaker.
AI-based diagnostics ’holds promise’ in tracking symptoms for myasthenia gravis
Artificial intelligence-based diagnostic tools may be valuable in accurately tracking myasthenia gravis symptoms and mitigating disease risk, according to a poster at the 2024 MDA Clinical & Scientific Conference.
Machine learning model could assist in treatment of MS
WEST PALM BEACH, Fla. — Application of a machine learning model to databases of patients with multiple sclerosis expanded understanding of disease progression, according to a poster at ACTRIMS 2024.
Automated machine-learning models may help predict diabetic retinopathy progression
Automated machine-learning models accurately identified risk for diabetic retinopathy progression using ultra-widefield retinal images, according to a study published in JAMA Ophthalmology.
Machine learning accurately predicted 1-year prognoses for lumbar disc herniation surgery
A machine learning model accurately predicted disability and pain up to 1 year after lumbar disc herniation surgery and may aid decision-making for patients and surgeons, according to published results.