Clinical Trials

The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...

A Pipeline for the Automatic Identification of Randomized Controlled Oncology Trials and Assignment of Tumor Entities Using Natural Language Processing.

BACKGROUND: Most tools trying to automatically extract information from medical publications are dom...

Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.

BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation....

The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis.

Thorough investigations of end-users' awareness, acceptance, and concerns about ophthalmic artificia...

Effectiveness of an Artificial Intelligence-Infused SinDance Exergame for Enhancing Physical Functions and Well-Being in Older Adults: A Pilot Randomized Controlled Trial.

AI-empowered health coaching for university students: A mixed-method process evaluation.

BACKGROUND: Artificial Intelligence (AI)-empowered health coaching (HC) has the potential to enhance...

Heart rate variability in patients with cardiovascular diseases.

Heart rate variability (HRV) has been reported to predict overall mortality and the risk of cardiova...

Evaluating Equity in Usage and Effectiveness of the CONCERN Early Warning System.

BACKGROUND: The CONCERN Early Warning System (CONCERN EWS) is an artificial intelligence based clini...

AI-Driven Blood Loss Prediction in Large-Volume Liposuction: Enhancing Precision and Patient Safety.

BACKGROUND: Over 2.3 million liposuctions are performed annually with a complication rate of about 5...

Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented Generation.

Low back pain (LBP) is a leading cause of disability globally. Following the onset of LBP and subseq...

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...

A multi-site randomized clinical trial of socially assistive robots on engaging older adults with cognitive impairment residing in long-term care settings: A protocol paper.

Apathy is common in persons with dementias, especially those in long-term care facilities (LTCs). Fe...

Lissamine Green in Ophthalmology: A Comprehensive Review of Diagnostic and Clinical Applications.

Lissamine green (LG), a diagnostic dye that stains devitalized or damaged epithelial cells, is widel...

The illusion of safety: A report to the FDA on AI healthcare product approvals.

Artificial intelligence is rapidly transforming healthcare, offering promising advancements in diagn...

AI integration and workforce development: Exploring job autonomy and creative self-efficacy in a global context.

This paper explores the relationship between Artificial Intelligence (AI) integration in the workpla...

Rational Design of Safer Inorganic Nanoparticles via Mechanistic Modeling-Informed Machine Learning.

The safety of inorganic nanoparticles (NPs) remains a critical challenge for their clinical translat...

Machine learning-enhanced SERS diagnostics: Accelerating the AI-powered transition from laboratory discoveries to clinical practice.

Surface-enhanced Raman spectroscopy (SERS) has emerged as a transformative analytical tool in diseas...

Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models.

IMPORTANCE: Clinical artificial intelligence (AI) systems are susceptible to performance degradation...

Evaluating the Impact of AI-Based Model-Informed Drug Development (MIDD): A Comparative Review.

Model-informed drug development (MIDD) methods play critical role to ensure development of efficacio...

Comparative Efficacy of ChatGPT and DeepSeek in Addressing Patient Queries on Gonarthrosis and Total Knee Arthroplasty.

BACKGROUND: The advent of artificial intelligence (AI) in healthcare has opened new avenues for pati...

Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

Occupational stress is a major concern for employers and organizations as it compromises decision-ma...