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Evaluating GPT-4's role in critical patient management in emergency departments.

PloS one
INTRODUCTION: Recent advancements in artificial intelligence (AI) have introduced tools like ChatGPT-4, capable of interpreting visual data, including ECGs. In our study,we aimed to investigate the effectiveness of GPT-4 in interpreting ECGs and mana...

Deep learning for pediatric chest x-ray diagnosis: Repurposing a commercial tool developed for adults.

PloS one
The number of commercially available artificial intelligence (AI) tools to support radiological workflows is constantly increasing, yet dedicated solutions for children are largely unavailable. Here, we repurposed an AI-tool developed for chest radio...

Calcium ion dynamic trajectory is associated with prognosis in patients with sepsis: A potential class mixture modeling study.

International immunopharmacology
Disturbed calcium homeostasis in patients with sepsis is associated with poor prognosis; however, its dynamic pattern and clinical significance remain unclear. This study aimed to establish an early warning system for calcium homeostasis in sepsis by...

Integrating machine learning and metabolomics to uncover new biomarkers for predicting pesticide exposure among patients with kidney function decline.

The Science of the total environment
Although pesticide application is indispensable for agricultural productivity, improper use can pose significant health risks, particularly for vulnerable populations. This study investigated the effects of pesticide exposure on metabolic pathways an...

Discrepancies between plantar pressure devices: Evaluating cross-system reliability for biomechanics, clinical use and predictive modelling.

Foot (Edinburgh, Scotland)
Plantar pressure measurement systems are widely used to assess foot function and gait, yet discrepancies in sensor design, measurement protocols, and population characteristics can undermine data comparability. This study investigated three platform‑...

Can GPT-4 provide human-level emotion support? Insights from machine learning-based evaluation framework.

Computers in biology and medicine
The global shortage of mental health services has sparked considerable interest in leveraging generative artificial intelligence (AI) to address psychological health challenges. This study systematically evaluates the emotional support capabilities o...

A practical approach to predicting long-term outcomes in traumatic brain injury: Enhancing clinical decision-making with machine learning.

Computers in biology and medicine
BACKGROUND: Traumatic brain injury (TBI) is among the most prevalent causes of emergency department visits globally. TBI leads to high morbidity and mortality rates, which poses a noteworthy burden on the medical system regarding both patients and ec...

Normal Pressure Hydrocephalus Classification using Weakly-Supervised Local Feature Extraction.

Computers in biology and medicine
Normal Pressure Hydrocephalus (NPH) presents diagnostic challenges because its symptoms often overlap with other neurological conditions. A key radiological NPH indicator is ventricular cerebrospinal fluid (CSF) volume, assessed by neuroradiologists ...

Untangling the Postmortem Metabolome: A Machine Learning Approach for Accurate PMI Estimation.

Analytical chemistry
Accurate estimation of the postmortem interval (PMI) is crucial for medico-legal investigations, providing critical timelines for criminal cases. Current PMI methods, however, often lack precision, limiting their forensic utility. In this study, we d...

Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study.

JMIR formative research
BACKGROUND: Clinical reasoning is a critical skill for physical therapists, involving the collection and interpretation of patient information to form accurate diagnoses. Traditional training often lacks the diversity of clinical cases necessary for ...