Hospital-Based Medicine

Text mining and machine learning based health risk prediction for soil polycyclic aromatic hydrocarbons at typical coal-fired industrial sites in china.

Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants posing significant threats to the environment and human health, particularly at active coal-fired industrial sites (coking, steel smelting, and thermal electric power generation) in China. However, for active industrial enterprises, effectively predicting PAHs exposure risks at the national scale remains challenging due to s...

Development and Validation of Multinomial Logistic Regression and Machine Learning Algorithms for Identifying Refractive Status in Chinese School Aged Children.

PURPOSE: To develop and validate models to identify pre-myopic children from their myopic and hyperopic peers using ocular biometry and demographic data. METHODS: Multinomial logistic regression (MLR) and machine learning algorithms (random forest and extreme gradient boosting) were applied to data from a school vision screening programme conducted by a private eye hospital in China. The dataset i...

Use of Artificial Intelligence to Predict Outcomes in Critically Ill Patients Receiving Extracorporeal Membrane Oxygenation: A Systematic Review.

Extracorporeal membrane oxygenation (ECMO) is widely used in patients with severe cardiac or respiratory failure. ECMO is resource and cost intensive ...

Cardioprotection in oncology: Mechanisms, risks and therapeutic strategies.

Objectives of this review is to conduct an analysis of current data of cardiotoxicity of anticancer drugs and radiation therapy, methods of cardiovasc...

Integrating network toxicology, machine learning, and experimental evidence reveals candidate targets and pathways in PCDD/F-related colon cancer.

Previous studies have suggested that exposure to carcinogenic polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) pollutants...

Clinical Care Practices Shape Microbiome-Associated Bloodstream Infection Risk in Geographically Distinct NICUs.

BACKGROUND: Bloodstream infections (BSI) remain a major cause of morbidity and mortality in preterm infants. Although BSI pathogens vary geographicall...

Machine learning prediction of discharge destination in patients with Parkinson's disease; a nationwide cohort study.

Risk stratification during hospitalization may support real-world discharge planning. We developed and validated machine learning models and an interp...

Machine learning approach for heavy metal source identification and spatial distribution in coastal sediments of Tiruchendur, Southern India.

This research focuses on the global issue of heavy metal (HM) contamination in coastal systems and provides the first baseline investigation of the su...

Combined use of serum KL-6 and respiratory functional parameters for identifying fibrotic lung damage in SARS-CoV-2-induced interstitial pneumonia.

BACKGROUND: Post-COVID19 pulmonary fibrosis (PCPF) has been reported in a significant proportion of patients who survive the acute SARS-CoV-2 infectio...

Photoelectrocatalytic Chemical Pathways in Photoassisted Lithium-Sulfur Batteries via a Multiscale Graph-Based Machine Learning Framework.

The rapid advancement of photorechargeable batteries is driven by the need for efficient solar energy utilization, with photoassisted lithium-sulfur b...

Biomarkers associated with future suicide risk enhance predictive performance in psychiatric inpatients.

OBJECTIVES: Suicide risk assessments currently rely on subjective clinical judgement, lacking objective measures. This study aimed to evaluate the ass...

Impact of an artificial intelligence-driven triage system on workflow and transfer efficiency: stratified analysis of 4548 admissions to four thrombectomy hubs receiving transfers from sixty spokes.

BACKGROUND: We aimed to evaluate the impact of implementing an artificial intelligence (AI)-enabled acute ischaemic stroke triage system on workflow e...

Pediatric Firearm Risk Prediction in Trauma Centers and After Discharge: A Machine Learning Analysis.

OBJECTIVE: We used machine learning (ML) to develop firearm risk prediction models for injured children and adolescents admitted to U.S. trauma center...

Causal Machine Learning for Personalized Surgical Decision-Making in Aortic Dissection: A National Fairness-Aware Clinical AI Framework.

BACKGROUND: Most machine learning models for aortic dissection predict mortality but do not address treatment-effect heterogeneity, fairness, or bedsi...

Advanced neuroimaging for central nervous system infections: when, where, how, and why?

PURPOSE OF REVIEW: Central nervous system (CNS) infections remain a major cause of morbidity and mortality worldwide, particularly in children, older ...

Preliminary evaluation of gunshot residue pattern analysis using flash-pulse infrared thermography and multi-task deep learning.

Gunshot residue pattern assessment can support forensic reconstruction, particularly for shooting distance evaluation, but commonly used approaches ma...

Contemporary Indications and Technical Limits of Transoral Laser Microsurgery for Laryngeal Squamous Cell Carcinoma.

Transoral laser microsurgery (TOLMS) is an established organ-preserving treatment for early-stage and selected intermediate-stage laryngeal squamous c...

Path forward: Cryoablation for colorectal liver metastases.

PURPOSE: Colorectal liver metastases (CRLM) are a leading cause of mortality in patients with colorectal cancer. While surgical resection is the stand...

Resuscitation 2025 congress: launch of the resuscitation guidelines, scientific advances, education, equity, and innovation across the chain of survival.

The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fully in-person international meeting and served as ...

Implementation and Evaluation of Virtual Care in Canadian Health Care Systems: A Scoping Review.

OBJECTIVE: This scoping review examined available evidence in implementation and evaluation of virtual care in Canada. Virtual care saw recent uptake ...