Latest AI and machine learning research in clinical trials for healthcare professionals.
The rapid expansion of on-demand food delivery has brought algorithmic management, the use of artificial intelligence to oversee labor processes, into everyday working life. The same system that maximizes operational efficiency may also place substantial psychosocial burdens on riders. This study examines the daily dynamics linking algorithmic performance pressure, risky riding behaviors, and near...
Fetal magnetic resonance imaging (MRI) plays an important role in evaluating prenatal central nervous system (CNS) abnormalities, but expert interpretation and counseling remain challenging. Large language models (LLMs) may support text-based diagnostic reasoning, yet their performance in fetal CNS MRI has not been well characterized. The study aimed to compare ChatGPT, Gemini, and DeepSeek in tex...
RATIONALE: For critically ill adults receiving invasive mechanical ventilation, randomized trials have found no significant average treatment effect o...
While general-purpose large language models (LLMs) demonstrate remarkable capabilities, their clinical application demands rigorous adaptation to ensu...
Artificial intelligence (AI) has advanced rapidly across diagnostic, prognostic, and clinical decision-support applications, yet the pathway from labo...
PURPOSE OF REVIEW: Medical devices like physiologic monitors, anesthesia machines, and ventilators, are designed by biomedical engineers but used by c...
BACKGROUND: Medically specialized generative artificial intelligence (GAI) systems are increasingly used by clinicians as a form of electronic consult...
BACKGROUND: Code status discussions (CSDs) are essential in clinical practice yet training modalities are often resource-intensive and not widely avai...
BACKGROUND: High-quality problem-based learning (PBL) during internship is resource-intensive and difficult to scale without consistent facilitation. ...
Roadside trees represent the most frequently struck fixed object in fatal crashes in the United States and constitute a substantial safety concern, pa...
Orthodontic treatment is delivered in increasingly diverse clinical and digital environments, yet outcomes continue to depend on patients' understandi...
PURPOSE: Several clinical trial studies have shown correlations between certain physiological measurements and an ASD diagnosis. Such findings, howeve...
PURPOSE OF REVIEW: This review surveys recent advances in artificial intelligence-guided small molecule discovery and gene therapy, with a focus on ge...
Lesions with a Prostate Imaging-Reporting and Data System (PI-RADS) score of 4 or greater on multiparametric MRI (mpMRI) indicate a high likelihood of...
PURPOSE: To evaluate whether a cornea-specialized large language model (LLM) enhanced with retrieval-augmented generation (RAG) improves clinicians' d...
BACKGROUND: Prediabetes is highly prevalent and increasing globally, yet lifestyle interventions remain underused. AI-driven mobile health (mHealth) t...
Toxicology has long depended on animal studies and static computational models to evaluate the safety of chemical substances and pharmaceutical compou...
INTRODUCTION: Digital language markers show promise in detecting early cognitive impairment related to Alzheimer's disease (AD), yet their relationshi...