Hospital-Based Medicine

Machine Learning-based Prediction of Mortality Among Malnourished Patients Hospitalized With Inflammatory Bowel Disease.

BACKGROUND: Malnourished patients hospitalized with inflammatory bowel disease (IBD) have a high ris...

A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar.

OBJECTIVE: To introduce a novel, standardised approach to evaluating AI prediction models in balanci...

Listening to the note: clinician perspectives on ambient artificial intelligence scribes in medical documentation.

OBJECTIVES: To qualitatively characterize barriers and facilitators to implementing and using an amb...

Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis.

Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary art...

Multisite derivation of a machine learning algorithm using high sensitivity troponin to predict major adverse cardiac events in the emergency department.

OBJECTIVE: To develop a machine learning (ML) algorithm to stratify risk for major adverse cardiac e...

Evaluation of large language models as decision support tools for head and neck cancer management: A blinded multidisciplinary simulation study.

BACKGROUND: The management of head and neck cancer relies on multidisciplinary expertise; however, a...

Explainable machine learning model for predicting traumatic brain injury-induced coagulopathy in elderly patients: A multicenter cohort study.

BACKGROUND: Traumatic brain injury-induced coagulopathy (TBI-IC) in the elderly is a severe complica...

Investigation of Bias Using ChatGPT-4 in Pain Management and Patient Profiling.

BACKGROUND: Large language models, such as ChatGPT (cGPT), are being integrated increasingly into cl...

Descriptive content analysis assessment of ChatGPT responses to substance use disorder treatment questions compared to National health guidelines.

BACKGROUND: Artificial intelligence (AI)-powered large language models like ChatGPT are increasingly...

[Artificial intelligence in surgical disciplines: Clinical application, advantages, and potential-a Delphi expert consensus].

BACKGROUND: Artificial intelligence (AI) in surgical disciplines has the potential to support all ar...

Machine Learning Algorithms to Predict Venous Thromboembolism in Patients With Sepsis in the Intensive Care Unit: Multicenter Retrospective Study.

BACKGROUND: Venous thromboembolism (VTE) is a common and severe complication in intensive care unit ...

Early prediction of colonization by carbapenemase-producing enterobacterales at ICU admission using machine learning.

Colonization by carbapenemase-producing Enterobacterales (CPE) on admission to an intensive care uni...

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study.

BACKGROUND: Trauma is a major global cause of morbidity and mortality, with haemorrhage representing...

Collaborative and Cooperative Hospital "In-House" Medical Device Development and Implementation in the AI Age: The European Responsible AI Development (EURAID) Framework Compatible With European Values.

The last years have seen an acceleration in the development and uptake of artificial intelligence (A...

Artificial Intelligence in Plastic Surgery: Current Status, Limitations, and Future Directions.

Artificial intelligence (AI) has become pervasive in and beyond plastic surgery. Myriad applications...

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

BACKGROUND: Bleeding complications are a major contributor to adverse drug events among older inpati...

Machine learning for identifying risk factors of nosocomial infection in cancer patients with immune checkpoint inhibitor-related pneumonia.

Optimizing the Accuracy of Natural Language Processing Tools for Pulmonary Embolism Detection Through Integration with Claims Data: The PE-EHR+ Study.

BACKGROUND: Rule-based natural language processing (NLP) tools can identify pulmonary embolism (PE) ...

Multiple epileptiform waves detection algorithm based on improved VMD and multidimensional feature fusion.

BACKGROUND: Spikes, ripples, and ripples on spikes (RonS) during non-rapid eye movement (NREM) sleep...

Nurses' attitudes toward artificial intelligence applications and their clinical decision-making competence: A cross-sectional study.

BACKGROUND: The increasing integration of artificial intelligence (AI) into healthcare has generated...

Predicting Return Home After Moderate-to-Severe Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Days alive and at home (DAH) is a validated outcome measure that captures...