Clinical Trials

Predicting training outcomes for developmental dyslexia from EEG data.

Developmental dyslexia (DD) is characterised by lower-than-average reading abilities and is diagnosed in approximately 10% of individuals. The societal barriers may limit professional fulfilment and psychological wellbeing of individuals with DD, calling for the development of effective interventions to counteract them. As DD is associated with challenges in both phonological and visuo-attentional...

Special article-EchoPeer: a standardized framework for assessing echocardiography reports in the era of artificial intelligence: a recommendation from the Korean Society of Echocardiography AI and Future Strategy Committee.

Artificial intelligence (AI) is rapidly advancing from automated measurement to full-report generation, yet existing frameworks do not provide a unified scoring approach for both human- and AI-authored reports. We developed EchoPeer, a three-step evaluation framework for echocardiography reports, scored against a reference standard. Step 0 (safety score, %) is a pass/fail safety gate for life-thre...

Large language model accuracy in inhaler technique counselling for asthma and COPD: A comparison of free and paid models across ten devices.

OBJECTIVE: To compare ten large language models (LLMs) from seven AI companies, across free and paid tiers, on inhaler technique instruction accuracy ...

Reframing risk management for AI-enabled medical devices: A dual-layer risk governance framework.

BackgroundAI-enabled medical devices introduce dynamic, data-dependent risks that challenge traditional safety-risk management frameworks. While ISO 1...

From user to manufacturer: How substantial modification of medical AI crosses the product liability threshold under the revised PLD.

The revised Product Liability Directive (rPLD) introduces a pivotal shift in the liability landscape for healthcare professionals using artificial int...

Stakeholder Perspectives on AI-Assisted Pain Assessment in Pediatrics: A Qualitative Study of Shared Needs and Divergent Priorities.

Pain management remains a significant challenge in pediatric care, where pain is frequently under-assessed and undertreated. Artificial intelligence i...

Exploring Applications of AI in the Crisis Line Sector: Protocol for a Scoping Review.

BACKGROUND: Crisis helplines are a vital component of a robust public health approach to suicide prevention as they are often free, accessible, and pr...

Enhancing diagnostic safety: addressing knowledge gaps for using human factors tools in the safe and effective use of AI - a proposed research agenda.

INTRODUCTION: Identify knowledge gaps in applying artificial intelligence in clinical settings, using medical imaging as a primary use case to enhance...

Disseminating brief video-based mental health interventions on Instagram: Reach, engagement, and real-world implementation.

OBJECTIVE: Childhood trauma (CT) profoundly impacts mental health. Negative attitudes and stigma surrounding mental health and trauma often deter surv...

Short-Term Efficacy of the Artificial Intelligence HeartBot II in Increasing Awareness and Knowledge of Heart Attack in Women: Protocol for a Randomized Controlled Trial With a Waitlist Control.

BACKGROUND: Heart disease remains a leading cause of death for women in the United States. Despite this burden, awareness that heart disease is the le...

Messaging and Chatbot-Assisted Nursing Consultation (ChatACP) to Empower Family Members of Residents of Nursing Homes on Advance Care Planning: Protocol for a Mixed Methods Pilot Study.

BACKGROUND: Advance care planning (ACP) involves proactive communication about end-of-life care preferences among patients, families, and health care ...

Pharmacogenomic and Drug Interactions Risk in Cardio-Oncology: A precision medicine perspective for India.

Cardio-oncology patients may face complex treatment regimens due to the concurrent existence of cancer and cardiovascular disease, leading to a consid...

Pharmacological evidence for propagation dynamics of TMS-evoked potentials in the human brain.

BACKGROUND: Transcranial magnetic stimulation-evoked potentials (TEPs) propagate from the stimulation site to distributed brain networks, with early p...

Biomarkers of nivolumab benefit in resectable non-small cell lung cancer.

Perioperative nivolumab significantly improved event-free survival (EFS) compared with placebo in patients with resectable non-small cell lung cancer ...

Scientific production in the era of large language models: Outcome-triggered treatment timing and spurious event-study dynamics.

Large language models (LLMs) are increasingly used in scientific writing, but their effect on individual productivity is difficult to identify because...

Machine learning-guided bioelectrical impedance mapping for rapid adjunctive margin assessment in Mohs surgery.

A label-free high-frequency bioelectrical impedance spectroscopy method, coupled with supervised machine learning, was evaluated as an adjunct to hist...

Artificial intelligence in dermatologic pharmacokinetics: quantitative modeling, clinical translation, and optimization of precision therapeutics.

INTRODUCTION: Dermatology is rapidly transitioning from broad-spectrum therapies toward biologics, nanotechnology-based drug delivery, and precision t...

Beyond Critical View of Safety: New Predictors of Objective Assessment of Critical View of Safety in Laparoscopic cholecystectomy-a Prospective Cohort Study.

BackgroundLaparoscopic cholecystectomy (LC) has revolutionised gallstone management. However, the incidence of bile duct injury (BDI) remains unchange...

Rethinking Phase I units in the era of immuno-oncology: a three-layer framework.

The rapid expansion of immuno-oncology (I-O) and other advanced therapies is reshaping the complexity of early-phase clinical development. While core ...

Clinical predictive artificial intelligence evaluation: A narrative review of trial designs and practical considerations.

Artificial intelligence (AI) predictive models demonstrate potential for transforming clinical decision-making across medicine. However, conventional ...