Morning Overview on MSN
Many AI disease-risk models trained on flawed health data
Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...
New prediction models may help clinicians identify which patients are at highest risk for death or drug overdose if they seek a "before medically advised" (BMA) hospital discharge. Hiten Naik, MD In a ...
A large language model could help assess patient acuity in emergency departments, according to a study published in JAMA Network Open. When given pairs of patient histories extracted from emergency ...
Tarlatamab: New Star on the Horizon for Small-Cell Lung Cancer? In the articles that accompany this editorial, Li et al 10 and Muñoz et al 11 presented two new venous thromboembolism risk prediction ...
Patient engagement is a necessity when performing health technology assessment to help better assess and identify the outcomes of a rare disease. Rare diseases present distinct challenges to health ...
Objectives To determine the prevalence of depressive and anxiety symptoms among young people 7 years and 9 years after ...
This article is the latest in the Health Affairs Forefront featured topic, Accountable Care for Population Health, featuring analysis and discussion of how to understand, design, support, and measure ...
News9Live on MSN
Indian patients misclassified by Western heart models, research raises prevention concerns
A study finds nearly 80 per cent of Indian patients who suffered their first heart attack were not flagged as high-risk by ...
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