Clinical Trials

From Observation to Prediction: Machine Learning Analysis of Progression of Visual loss in Nonarteritic Anterior Ischemic Optic Neuropathy.

OBJECTIVE: To determine whether combinations of modifiable clinical/systemic risk factors and structured trial variables predict early disease progression in acute NAION, as a clinical-feature benchmark, using machine learning for multivariable analysis. DESIGN: Secondary analysis of a multicenter, double-masked, sham-controlled, randomized clinical trial. SUBJECTS: We analyzed 589 study eyes with...

Real-time, artificial intelligence-guided intraoperative resuscitation and fluid management in trauma anesthesia.

PURPOSE OF REVIEW: To synthesize recent advances in intraoperative resuscitation for trauma surgery, including fluid composition, transfusion thresholds, and coagulopathy management, and to identify emerging directions that address persistent gaps in precision. Particular attention is given to prospective evidence, as forward-looking evaluations better capture real-world performance, workflow inte...

Human Factors Influencing Trust in Healthcare Artificial Intelligence: Systematic Literature Review.

Occupational ApplicationsThe adoption of AI in healthcare depends on calibrated trust-trust that matches the system's reliability and context. This re...

Postmarketing Safety of Transcranial Magnetic Stimulation: A 10-Year MAUDE Database Analysis of Adverse Events and Technological Advancements.

Background: Transcranial magnetic stimulation (TMS) is an FDA-cleared neuromodulation technique with expanding clinical applications beyond major depr...

The Role of Artificial Intelligence Large Language Models in Literature Search Assistance to Evaluate the Impact of Smoking Inguinal and Ventral Hernia Repairs: A Post-Hoc Analysis.

BACKGROUND: Smoking is associated with higher complication and recurrence rates in ventral and inguinal hernia repairs, but evidence is fragmented. Th...

Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.

The complexity of traditional Chinese medicine (TCM), with its numerous components, targets, and varying efficacy, presents challenges for current eva...

Facing the Silent Crisis: Suicidal Ideation and Suicide in the Nursing Profession.

BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide within the nursing profession. Despite being one of...

Multimodal human-in-the-loop artificial intelligence with affective feedback for accelerated high-entropy alloy discovery.

High-entropy alloys (HEAs) are emerging as next-generation structural materials due to their outstanding mechanical and functional properties. However...

AI-Guided GDMT Optimization After HFrEF Hospitalization: The ASSIST-HF SIRIO Randomized Pilot Trial.

Computerized Self-Reported Medical History Taking to Support Early Rule Out of Major Adverse Cardiac Events in Patients With Acute Chest Pain: Post Hoc Analysis of the CLEOS-CPDS Prospective Cohort Study.

BACKGROUND: Self-reported, computerized history taking (CHT) may enable efficient collection of medical histories for acute chest pain management. OBJ...

Advancing prussian blue nanoparticle-mediated photothermal therapy through machine learning and multiomics integration.

Prussian blue nanoparticles (PBNPs) are a versatile platform for administering photothermal therapy (PTT) in cancer therapy applications. PBNPs combin...

Efficacy of artificial intelligence-assisted upper gastrointestinal endoscopy for neoplasm detection: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND AND AIMS: EGD remains the primary diagnostic modality for evaluating lesions of the upper gastrointestinal (UGI) tract. This meta-analysis ...

Development of a Real-time Radiation Detection System that Uses IoT to Provide Real-time Monitoring in Custom-built Website.

Effective radiation monitoring is crucial for ensuring public security and safety, particularly in the event of nuclear (e.g., nuclear accident, fallo...

Artificial intelligence agents in healthcare research: A scoping review.

INTRODUCTION: Artificial Intelligence (AI) agents are rapidly transforming healthcare delivery, enabling real-time decision support and sophisticated ...

Prenatal alcohol exposure and the retrosplenial cortex: Structural and functional mechanisms across species.

The retrosplenial cortex (RSC) is a structurally and functionally complex hub with broad connectivity, integrating sensory inputs, cognitive states, a...

Implementing generative artificial intelligence in precision oncology: safety, governance, and significance.

The paramount challenge in precision oncology lies in further improving quality of life and response rates for individual patients. Efforts toward the...

Enhancing therapeutic outcomes with artificial intelligence for HR-positive, HER2-negative metastatic breast cancer.

Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) are an integral first-line treatment for hormone receptor-positive metastatic breast cancer, though r...

Randomized controlled trials in valvular heart disease: the evolving role of multimodality imaging.

Valvular heart disease represents a significant global health burden, with an estimated prevalence of 2.5% in high-income countries and projected incr...

Ushering in a New Social Media Era in Aesthetic Surgery: AI-Generated Transformation Videos and Their Ethical Implications.

The advent of artificial intelligence (AI)-generated transformation videos, primarily utilizing models like Kling 2.1 (Kuaishou Technology, Beijing, C...

Prehospital Blood Collection for High Sensitivity Cardiac Troponin Measurement in Patients with Acute Chest Pain.

OBJECTIVES: High sensitivity cardiac troponin (hs-cTn) measures are used in the emergency department (ED) to evaluate patients with acute chest pain. ...