Methodological standards of existing clinical AI research remain poorly characterized and may partially explain the implementation gap between model development and meaningful clinical translation. This systematic review aims to identify AI-based methods to predict…
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Imaging is crucial to assess disease extent, activity, and outcomes in inflammatory bowel disease (IBD). Artificial intelligence (AI) image interpretation requires automated exploitation of studies at scale as an initial step. Here we evaluate…
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What You Should Know:
– U.S. hospitals nationwide experienced increases across most metrics—including revenues, patient volumes, and expenses—to close the first quarter of 2025. However, operating margins for health systems dipped below the 1% threshold…
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We detect and interactively visualize occurrence, frequency, sequence, and clustering of extraintestinal manifestations (EIM) and associated immune disorders (AID) in 30,334 inflammatory bowel disease (IBD) patients (Crohn’s disease (CD) n = 15924, ulcerative colitis (UC) n = 11718,…
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Sepsis real-time prediction models (SRPMs) provide timely alerts and may improve patient outcomes but face limited clinical adoption due to inconsistent validation methods and potential biases. Comprehensive evaluation, including external full-window validation with model-…
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What You Should Know:
– Fitch Ratings has released a report revealing an improvement in the median financial performance of Fitch-rated not-for-profit (NFP) hospitals and healthcare systems with early fiscal year ends (FYE) in 2024,…
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Kaufman Hall recently released its first report analyzing hospitals’ financial data from 2025, and the advisory firm found that hospitals kicked off this year with a stable performance.
The report examined more than 1,300 hospitals’…
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This systematic review evaluated natural language processing (NLP) approaches for detecting cognitive impairment in electronic health record clinical notes. Following PRISMA guidelines, we analyzed 18 studies (n = 1,064,530) that employed rule-based algorithms (67%), traditional machine…
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The study introduces a clinical decision support system (CDSS) developed at a single academic cancer center, integrating real-time clinical, genomic, and imaging data for over 170,000 patients across 11 cancer types. We have developed…
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Key Research Findings
Recent findings published in the American Journal of Roentgenology (AJR) reveal significant improvements in hepatocellular carcinoma (HCC) detection using the updated ACR LI-RADS Ultrasound Surveillance system. The 2024 version demonstrates enhanced sensitivity…
