Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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Large Language Models and Retrieval-Augmented Platforms for Dental Implant Complications: A Blinded, Expert-Rated Benchmarking Study.

OBJECTIVES: To compare expert-rated diagnostic accuracy, patient safety, completeness of management, and freedom from detectable hallucinations across eleven conversational artificial-intelligence (AI) platforms (general-purpose large language models [LLMs], a general-purpose retrieval-augmented [RAG] platform, and a medical-domain RAG platform) using synthetic vignettes of dental implant complica...

Jun 10 2026 42269758

The engagement-validation loop: Sycophancy, anthropomorphic projection, and clinical risk in informal AI-based mental health support.

Approximately one billion people worldwide live with a mental disorder, yet access to minimally adequate treatment remains low. Against this backdrop, general-purpose generative artificial intelligence (GenAI) systems have rapidly expanded into informal mental health support. OpenAI disclosed that roughly 1.2 million ChatGPT users weekly display indicators of suicidal planning or intent, and meta-...

Jun 10 2026 42269974
Psychological safety and perceived risk are associated with emergency nurses' intention to use AI-augmented triage systems.

Emergency department overcrowding places sustained pressure on triage workflows and patient prioritization. Artificial intelligence (AI)-augmented tri...

Jun 10 2026 42270714
Advances in Ultrasound-Guided Fascial Plane Blocks for Perioperative Acute Pain Management.

INTRODUCTION: Perioperative acute pain remains a major challenge because conventional analgesic strategies are often limited by inadequate efficacy an...

Jun 9 2026 42262005
Global advances in health artificial intelligence: a workforce imperative.

The global health workforce is approaching a breaking point, driven by administrative overload, inefficient workflows, burnout, and accelerating retir...

Jun 9 2026 42263727
Observational study of predictors and outcomes of lung cancer in never-smokers in the UK (OLIVE): study protocol.

INTRODUCTION: Lung cancer is commonly associated with smoking. However, if considered separately, lung cancer in never-smokers (LCINS) is the seventh ...

Jun 9 2026 42264884
Simulation-Enhanced Learning in Nuclear Medicine: Counterpoint.

Simulation-based education has become widely embedded in health professional training and is increasingly positioned as a solution to clinical placeme...

Jun 9 2026 42264900
Comparative evaluation and selection of optimal QSAR-based machine learning model for liver toxicity prediction.

Drug induced liver toxicity remains the most common cause of acute liver failure. Conventional toxicity detection relies on resource-intensive in vivo...

Jun 9 2026 42265490
Tumor organoids as a revolutionary platform for advancing cancer nanomedicine.

Nanomedicine has revolutionized oncology through targeted drug delivery and theranostic applications. However, its clinical translation remains a form...

Jun 9 2026 42265674
Predictors of Detectable Viral Load among Adolescents with HIV in Low Resource Settings who are Receiving Care in Youth-Friendly Clinics.

OBJECTIVE: Adolescents with HIV (AWH) have higher rates of detectable viral loads (DVL) than adults. We sought to identify clinical and psychosocial p...

Jun 9 2026 42262345
Generative Artificial Intelligence Chatbots for Parental Guidance in Pediatric Orthopaedics: A Pilot Feasibility Study.

BACKGROUND: Parents of children with pediatric orthopaedic conditions frequently have questions after their clinic visit, and a reliable postconsultat...

Jun 9 2026 42256001
Decision tree with randomized grid search-based hyperparameter tuning and optimal feature scaling for diabetes diagnosis.

BACKGROUND: Diabetes is a chronic condition that arises when the body cannot effectively regulate blood glucose levels, either due to insufficient ins...

Jun 8 2026 42260338
Artificial intelligence in traumatic stress treatment: The TRUST framework for ethical development, clinical applications, and research advancement.

Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence-based interventio...

Jun 8 2026 42260964
AI-based virtual patient training for clinical communication skills in dental undergraduates: A randomized controlled mixed methods study.

INTRODUCTION: Effective clinical communication is a core competency in dental education, yet traditional teaching methods often fail to provide authen...

Jun 8 2026 42258188
Unique Digital Images as Incentives in Clinical Trials: A Digital Shift Toward Meaningful Participation.

Incentivization in clinical trial participation can be challenging, with many studies failing to meet recruitment or retention goals despite tradition...

Jun 8 2026 42258364
360° Video-Based Virtual Reality for Preparing Medical Students for Body Donor Dissection: Randomized Controlled Trial.

BACKGROUND: Body donor dissection is fundamental to medical education but often induces anxiety and emotional distress in students, potentially impact...

Jun 8 2026 42258369
The emerging role of coronary computed tomography for prevention of cardiovascular disease in asymptomatic individuals.

The persistent global rise in atherosclerotic cardiovascular disease (ASCVD) challenges the effectiveness of current risk factor-based algorithms in p...

Jun 8 2026 42258629
Auricular Point Acupressure Self-Management (APA-SM) program for chronic musculoskeletal pain among rural populations: a protocol for a pragmatic, randomized controlled trial.

INTRODUCTION: Chronic musculoskeletal pain (CMP) is a leading cause of incurred personal healthcare costs and disability in the USA. It disproportiona...

Jun 8 2026 42259555
Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.

BACKGROUND: Artificial intelligence (AI) is increasingly utilized in surgical care for decision support, operative planning, intraoperative guidance, ...

Jun 8 2026 42260175
Explainable AI reveals squamous histology and U-shaped PD-L1 patterns as primary subgroup predictors of neoadjuvant and perioperative immunotherapy benefit in NSCLC: a machine learning analysis.

BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment options for resectable non-small cell lung cancer ...

Jun 6 2026 42249154
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