Machine Learning
Large language model may improve diagnosis of multiple sclerosis
WEST PALM BEACH, Fla. — Large language model algorithms may be reliable for synthesizing large patient databases to more rapidly and accurately diagnose multiple sclerosis, according to a poster presented at ACTRIMS.
AI helps identify psychiatric comorbidities in multiple sclerosis
WEST PALM BEACH, Fla. — A machine learning model using existing clinical data may help clinicians screen for comorbid anxiety and depression in patients with multiple sclerosis, according to a poster presented at ACTRIMS.
Machine learning models help to predict progression to schizophrenia, bipolar disorder
Machine learning models trained on electronic health record data were able to successfully predict diagnostic progression to schizophrenia and bipolar disorder among patients with other mental illnesses, according to study results.
Abdominal aortic calcification detected during bone imaging tied to CV risk
Machine learning may be able to identify older adults most at risk for major adverse cardiovascular events by assessing abdominal aortic calcification in vertebral fracture assessment images, according to study data.
Machine learning tool feasible for detecting agitation in dementia
An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting certain environmental factors that are likely to contribute to the condition, according to a study.
Machine-learning method detects REM sleep behavior disorder with nearly 92% accuracy
An automated machine-learning method that analyzed sleep movements recorded with a conventional 2D camera may improve diagnosis of rapid eye movement sleep behavior disorder, according to a study published in Annals of Neurology.
The Role of Machine Learning in Clinical Trials with Damon Rasheed
In this episode, host Shikha Jain, MD, speaks with Opyl co-founder Damon Rasheed about using machine learning to better predict clinical trial outcomes, handling ethical concerns surrounding AI in health care and more.
Retinal thickness may help predict visual field progression in glaucoma
Circumpapillary retinal nerve fiber layer and ganglion cell inner plexiform layer measurements may help predict visual field worsening in glaucoma, although each is more effective in different stages of disease, according to research.
VIDEO: Wearable EEG system provides real-time data on patients with epilepsy
A wearable, portable electroencelphalogram, or EEG, system will allow clinicians to rapidly review real-time seizure-related neurologic events in those with epilepsy, Epitel CEO and founder Mark Lehmkuhle, PhD, stated in this Healio video.
AI-enabled video of skin on face, hands may detect high blood pressure, diabetes
CHICAGO — An AI-enabled tool utilizing machine learning, high-speed images and video accurately detected hypertension and type 2 diabetes among Japanese adults compared with continuous BP monitoring and HbA1c testing, researchers reported.