Hospital-Based Medicine

Climate-Smart Diagnostic Medical Imaging and Point-of-Care Ultrasound: An Evidence-Based Perspective.

BACKGROUND: Hospital diagnostic imaging significantly contributes to healthcare's carbon emissions, ...

Synthesizing Research in Sport and Exercise: Transitioning to Real-World Data and Data Science.

The American Society of Biomechanics (ASB) Jim Hay Memorial Award recognizes individuals for their o...

Artificial intelligence-assisted diagnosis and prognostication in low ejection fraction using electrocardiograms in inpatient department: a pragmatic randomized controlled trial.

BACKGROUND: Early diagnosis of low ejection fraction (EF) remains challenging despite being a treata...

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public h...

Prenatal detection of congenital heart defects using the deep learning-based image and video analysis: protocol for Clinical Artificial Intelligence in Fetal Echocardiography (CAIFE), an international multicentre multidisciplinary study.

INTRODUCTION: Congenital heart defect (CHD) is a significant, rapidly emerging global problem in chi...

Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.

Severe acute kidney injury (sAKI) is a prevalent and serious complication among patients with sepsis...

Ethical Considerations for Generative Artificial Intelligence in Plastic Surgery.

The integration of artificial intelligence (AI) into surgical care is rapidly transforming healthcar...

A NOVEL MACHINE LEARNING APPROACH FOR TUMOR DETECTION BASED ON TELOMERIC SIGNATURES.

Cancer remains one of the most complex diseases faced by humanity, with over 200 distinct types, eac...

Large Language Models in Medicine: Applications, Challenges, and Future Directions.

In recent years, large language models (LLMs) represented by GPT-4 have developed rapidly and perfor...

From Fragile Lives to Forensic Truth: Multimodal Forensic Approaches to Pediatric Homicide and Suspect Death.

Forensic investigation of child homicides presents unique challenges due to the vulnerability of ch...

Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model.

BACKGROUND: Cardiovascular and cerebrovascular diseases significantly contribute to global mortality...

Editorial: Current status of neural networks that subserve emotion and cognition - unraveling the complex brain through multidisciplinary contributions in awake brain surgery.

Evaluation of a large language model to simplify discharge summaries and provide cardiological lifestyle recommendations.

BACKGROUND: Hospital discharge summaries are essential for the continuity of care. However, medical ...

The use of imaging in the diagnosis and treatment of thromboembolic pulmonary hypertension.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...

What are we learning with Yoga? Mapping the scientific literature on Yoga using a vector-text-mining approach.

The techniques used in yoga have roots in traditions that precede modern science. Research shows tha...

Large language model discharge summary preparation using real-world electronic medical record data shows promise.

The efficacy of large language models (LLMs) in discharge summary preparation using real clinical do...

Functional connectome-based predictive modeling of suicidal ideation.

Suicide represents an egregious threat to society despite major advancements in medicine, in part du...

Remote monitoring in heart failure: artificial intelligence and the use of remote speech analysis to detect worsening heart failure events.

Globally, heart failure (HF) is a leading cause of hospitalization and mortality, primarily among th...

Comparing Text-Based Clinical Risk Prediction in Critical Care: A Note-Specific Hierarchical Network and Large Language Models.

Clinical predictive analysis is a crucial task with numerous applications and has been extensively s...

Sensors Innovations for Smart Lithium-Based Batteries: Advancements, Opportunities, and Potential Challenges.

Lithium-based batteries (LiBs) are integral components in operating electric vehicles to renewable e...