Hospital-Based Medicine

A Governance Framework for Diagnostic Quality in Hospital-Radiology Joint Ventures.

RATIONALE AND OBJECTIVES: Hospital-radiology joint ventures (JVs) are forming at an accelerating pace as health systems seek to recapture outpatient imaging volume and radiology groups pursue capital and operational partnerships. 3 decades of peer-reviewed literature show a reproducible risk: when financial incentives are not structurally separated from clinical authority, diagnostic quality degra...

Large-scale AI-guided liver malignancy diagnosis: multicenter study and a single-arm trial.

Liver malignancies are frequently evaluated on contrast-enhanced computed tomography (CE-CT), but missed or delayed diagnoses remain a clinically important challenge in high-volume, real-world radiology workflows, highlighting the need for scalable diagnostic safety net approaches. To address this, we developed the Liver DiagnOsis Network (LiON), a CE-CT-based artificial intelligence (AI) system t...

Machine learning-derived serum carbon dioxide trajectories in predicting prognosis of patients with acute aortic dissection.

JOURNAL/mgres/04.03/01612956-990000000-00114/figure1/v/2026-08-19T154102Z/r/image-tiff Venous partial pressure of carbon dioxide (PvCO2) indicates pos...

Optimization of hospitalization duration and cost structure for chronic schizophrenia patients in psychiatric hospitals.

OBJECTIVE: Chronic schizophrenia patients in psychiatric hospitals often have prolonged stays, high insurance resource consumption, and low efficiency...

Global estimation of bankfull river discharge reveals distinct flood recurrences across climate zones.

Bankfull discharge, the maximum flow a river can convey before spilling over its banks, is central to modelling flood risk and understanding river-cha...

Comparative outcomes of balloon-expandable versus self-expanding transcatheter aortic valves: insights from a large-scale German registry.

BACKGROUND: While transcatheter aortic valve replacement (TAVR) has become an established alternative to surgical aortic valve replacement (SAVR), the...

Laboratory Medicine in Immune Checkpoint Inhibitor-Induced Autoimmune Disorders: Baseline Assessment, Diagnostic Algorithms, Monitoring, and Predictive Biomarkers.

Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes across multiple malignancies, but they can disrupt self-tolerance an...

ChatGPT-4o as a decision-support tool in a urological tumour board: a prospective evaluation.

PURPOSE: To evaluate ChatGPT-4o in a real-world urological multidisciplinary tumour board (MTB), with concordance for the final clinical recommendatio...

A Multidisciplinary Team-Based Large Language Model Framework for Predicting Postoperative Neurological Complications in Acute Type A Aortic Dissection: Model Development and Validation Study.

BACKGROUND: Postoperative neurological complications (PNCs) after acute type A aortic dissection (ATAAD) surgery are clinically emergent and require m...

Vibe Coding for Statistical Analysis Using Large Language Models.

BACKGROUND: Large language models have accelerated the adoption of generative artificial intelligence (AI), making AI tools more widely accessible thr...

Barriers and Facilitators to AI Implementation in Intensive Care Units in China: Qualitative Study Among Nurse Managers.

BACKGROUND: AI has shown significant potential in intensive care unit (ICU) nursing practice, enhancing efficiency, decision-making, and patient safet...

Value of AI in Critical Care Using Real-World Evidence on Intensive Care Unit Mortality Prediction: Cost-Utility Analysis.

BACKGROUND: AI-based models for predicting mortality have shown potential for intensive care unit (ICU) patients, but evidence regarding their cost-ef...

Impact of pre-test probability on AI-LVO detection: a systematic review of LVO prevalence across clinical contexts.

BACKGROUND: Rapid identification of large vessel occlusion (LVO) in acute ischemic stroke (AIS) is essential for reperfusion therapy. Screening tools,...

AI-generated patient instructions as safety-critical communication: a provisional evidence-informed framework for clinical deployment.

Generative artificial intelligence (AI) can convert clinical information into patient-facing instructions, including discharge summaries, medication e...

The role of artificial intelligence in predicting readmission risk in emergency patients: An umbrella review.

BACKGROUND: Hospital readmission following emergency care remains a persistent challenge, reflecting gaps in care continuity, discharge planning, and ...

The Invisible Workforce: An Algorithmic Audit of Nursing, Primary Care, and Holistic Gaps in AI-Generated Survivorship Plans.

OBJECTIVES: Advanced ovarian cancer survivorship requires multidisciplinary coordination. As patients use large language models (LLMs) as clinical nav...

Clinical Subphenotypes and Short-Term Outcomes in PICU Patients Receiving Continuous Blood Purification.

OBJECTIVES: To characterize clinical heterogeneity among PICU patients receiving continuous blood purification (CBP) and identify data-driven subpheno...

Knowledge and perception of artificial intelligence among operating room staff in educational hospitals: a cross-sectional survey.

BACKGROUND: Successful implementation of artificial intelligence (AI) in healthcare depends not only on technological performance but also on the read...

Large language models in spine care and research.

BACKGROUND: Large language models (LLMs) have emerged as powerful transformer-based systems capable of capturing long-range dependencies and complex s...

The role of magnetic resonance imaging in the active surveillance of prostate cancer: state of the art.

POURPOSE: To provide an update on the role of multiparametric magnetic resonance imaging (mpMRI) in active surveillance (AS) of prostate cancer, with ...