Health AffairsOpinion

Medicare’s WISeR Model And The Challenge Of Low-Value Care

For now, the most reasonable stance is watchful waiting: acknowledging the real problems WISeR seeks to address, recognizing ...
TMCnet

ESMO releases first-ever guidance for safe use of AI Language Models in cancer care

With 45,000 oncology professionals in its global network, ESMO can be looked up as the global reference for responsible AI adoption in cancer care. Article here: ...

Ontario Psychologists Clash Over How Much Training Is Enough

Psychologists are pushing back against a proposal to cut their training requirements in a bid to license more providers.
Frontiers

Influencing factors analysis of clinical effect of heart failure patients treated with ivabradine and metoprolol succinate and construction and validation of nomogram ...

Objective: To analyze the influencing factors of the clinical effect of ivabradine (Ivab) combined with metoprolol succinate (Met-S) in patients with heart failure (HF), and to construct and verify ...
IEEE

Comparing Text-Based Clinical Risk Prediction in Critical Care: A Note-Specific Hierarchical Network and Large Language Models

Abstract: Clinical predictive analysis is a crucial task with numerous applications and has been extensively studied using machine learning approaches. Clinical notes, a vital data source, have been ...
IEEE

Converter Transformer Fault Diagnosis Based on Domain Adaptive Semi-Supervision, Lightweight and Model Compression

Abstract: Aiming at the problem that deep learning cannot directly read one-dimensional dissolved gas data in oil, a wavelet transform data dimension conversion method based on the generalized ...
eLife

Refining uncertainty about the TAK-003 dengue vaccine with a multi-level model of clinical efficacy trial data

This paper presents important new findings about the impact of the TAK-003 vaccine against dengue based on a convincing reanalysis of trial data. The results corroborate those of the original trial ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
Frontiers

Large language models in real-world clinical workflows: a systematic review of applications and implementation

Background: Large language models (LLMs) offer promise for enhancing clinical care by automating documentation, supporting decision-making, and improving communication. However, their integration into ...