Machine Learning
Machine learning models may predict risk of prolonged opioid use after hand surgery
Use of machine learning models may successfully predict postoperative pain experiences and risk for prolonged opioid use among patients who undergo hand surgery, according to published results.
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.
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.
Machine learning models may predict outcomes of MPFL reconstruction
Published results showed machine learning models may accurately predict outcomes for patients undergoing medial patellofemoral ligament reconstruction.
VIDEO: Unsupervised machine learning may be able to classify synovial fluid samples
In this video from the Musculoskeletal Infection Society Annual Meeting, Carl A. Deirmengian, MD, discussed results that showed unsupervised machine learning may be able to accurately classify synovial fluid samples by infection status.
Explainable machine learning can improve efforts to diagnose CKD early
Use of explainable machine learning combined with an AI classifier can aid health care providers in making accurate diagnoses and identifying root causes of chronic kidney disease at early stages, research data show.
Mandibular jaw movement analysis ‘convenient approach’ in OSA oral appliance titration
Among adults with obstructive sleep apnea receiving oral appliance therapy, mandibular jaw movement automated analysis plus monitoring may help with titration, according to results published in Annals of the American Thoracic Society.
Machine Learning in Cancer Care with Shyam Natarajan, PhD
In this episode, host Shikha Jain, MD, speaks with Shyam Natarajan, PhD, about machine learning in cancer research and testing, using technological innovation to address disparities in health care trials and more.
AI tools require precise language, content formulation to better assist medical education
AI-generative tools such as ChatGPT may be a useful tool for medical education but require precise formulation of language and content to match and assist skills of human counterparts, according to new research from Brain and Spine.
AI-based models accurately predict, show promise for expansion in headache
SAN DIEGO — AI-based models are currently best utilized as a predictor of headache, but show promise for expansion into the health care continuum, according to a speaker at the American Headache Society Annual Scientific Meeting.