Latest AI and machine learning research in us health policy for healthcare professionals.
INTRODUCTION: Sézary syndrome (SS) is a rare leukemic cutaneous T-cell lymphoma with limited contemporary population-level outcome data. METHODS: Using SEER-22, we identified 403 adults with first primary SS diagnosed from 2000-2021 and evaluated survival, disparities, and prognostic modeling. RESULTS: Median overall survival (OS) was 48 months; 5-year OS was 42.7%. Survival improved from 39.5 mon...
PURPOSE: Medicare's New Technology Add-On Payment (NTAP) incentivizes the adoption of innovative technologies. We examined factors associated with the...
Promoting the upgrading of the value chain in the equipment manufacturing industry is a crucial strategy for China to address the current challenge of...
BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition with high morbidity and mortality, particularly in poor-grade pa...
BACKGROUND: Operator-dependent laboratory tasks-embryo selection, vitrification and warming, and intracytoplasmic sperm injection (ICSI)-have been the...
This study investigates the direct effects and the interaction between green finance and technological innovation on China's economic growth. The empi...
BACKGROUND: Prognostic assessment in secondary care settings remains challenging and may influence clinical decision-making and follow-up. Artificial ...
Lignin valorization is critical to the economic viability of lignocellulosic biorefineries and could serve as an additional revenue stream for the pul...
INTRODUCTION: The integration of artificial intelligence (AI) into healthcare is transforming nursing practice, introducing both opportunities and cha...
PURPOSE OF REVIEW: This review synthesizes recent progress in applications of artificial intelligence to heart failure care, including phenotyping, ri...
Mechanical ventilation management in intensive care units requires continuous optimization of ventilator parameters while adhering to clinical safety ...
BACKGROUND: Unlicensed medical practices (UMPs) pose a substantial threat to patient safety and public health, but their clandestine nature makes them...
The U.S. FDA classifies food recalls into three severity tiers (Class I / II / III), a decision that drives public notification urgency and regulatory...
BACKGROUND: Electronic problem lists (PLs) are central to the problem-oriented medical record and increasingly underpin clinical decision support (CDS...
PURPOSE: This study addresses critical gaps in understanding hospital financial resilience during the COVID-19 pandemic by developing an AI framework ...
BACKGROUND: Hepatitis, a disease characterised by inflammation of the liver, is a leading global health challenge that contributes to over 1.3 million...
BACKGROUND: Emergency colorectal cancer resection (ECCR) is associated with worse perioperative and oncologic outcomes than elective surgery. As the i...
The accurate and early prediction of student academic outcomes is fundamental to enabling timely interventions and personalized support in higher educ...
In recent years, artificial intelligence in medicine has evolved from single recognition tasks toward structural understanding, spatial reasoning, and...