Clinical Trials

Research on the generalization of a blood donor recruitment framework based on machine learning.

Artificial intelligence-driven donor-recipient gut microbiome matching for optimized fecal microbiota transplantation.

Fecal microbiota transplantation (FMT) has emerged as a promising therapy for gastrointestinal diseases, yet its clinical efficacy remains individually variable. Here, we analyze multi-kingdom and functional profiles in pre- and post-FMT metagenomes from 515 FMTs across 30 cohorts and 12 diseases, in which 94 metagenomes from 44 FMTs are newly collected. We reveal a robust association between clin...

Recurrent Processing Dynamics in Occluded Object Recognition Revealed by Electroencephalography and Deep Neural Networks.

The human visual system excels at recognizing occluded objects, yet the temporal dynamics of recurrent processing in this task remain unclear. Using h...

Ambient AI Scribes to Create Educational Feedback Notes for Medical Students: A Randomized Trial.

BACKGROUND: High-quality observation and feedback contribute to the development of clinical competence and professional growth in medical education. F...

Human-AI collaboration in clinical reasoning: a UK replication and interaction analysis.

OBJECTIVES: A paper from Goh et al. found that a large language model (LLM) working alone outperformed American clinicians assisted by the same LLM in...

Errors in AI-Transformed Patient-Centered Mental Health Documentation Written by Psychiatrists: Qualitative Pre-Post Study.

BACKGROUND: Patients' digital access to their personal health data is becoming increasingly common worldwide. However, medical documentation often con...

Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study.

BACKGROUND: Risk group stratification based on the prediction of survival of patients with acute myeloid leukemia (AML) is complex. Despite common ris...

Molecular characterisation of progressive pulmonary sarcoidosis: protocol for a longitudinal multi-centre study to develop peripheral blood circulating biomarkers for predicting pulmonary sarcoidosis progression.

INTRODUCTION: Sarcoidosis is a heterogeneous granulomatous disease with highly variable clinical trajectories, yet no validated biomarkers exist to di...

Performance of artificial intelligence software: EndoAngel, EndoAID, CAD-EYE, GI Genius, and EndoScreener in adenoma detection: an extended network meta-analysis.

BACKGROUND: Colorectal cancer is a major global health burden, with most cases arising from adenomatous polyps. Although colonoscopy is the gold stand...

The application of digital technology in nursing quality management: a scoping review.

BACKGROUND: Digital technology integrates information and communication tools such as electronic health records, wearable devices, and artificial inte...

Genetic Predictors of Progression and Skin Rash in Japanese mCSPC Patients Treated With Apalutamide: CUARTET Study.

Despite promising evidence of the efficacy of the androgen deprivation therapy (ADT) plus apalutamide in metastatic castration-sensitive prostate canc...

Algorithmic insights: How FDI sources, digital financial inclusion, and geopolitics collide in Pakistan's environmental landscape.

The environmental effect of foreign direct investment is a much-discussed topic. Nevertheless, how foreign direct investment's country of origin can a...

Effects of a Soft Robotic Exoskeleton for Gait Training on Clinical Outcomes in Patients With Parkinson Disease: Randomized Controlled Pilot Study.

BACKGROUND: Balance and gait disorders in Parkinson disease (PD) impair motor function and quality of life. OBJECTIVE: Evidence on soft exoskeleton ro...

[Artificial intelligence in internal medicine exemplified by cardiology].

Artificial intelligence (AI) is gaining importance in the field of cardiology. By analyzing complex multimodal data AI can support the diagnostic proc...

Safety-oriented and explainable machine learning for KSI crash risk prediction: Evidence from the United Kingdom.

Road traffic crashes pose a serious public safety challenge, particularly due to fatal and serious injuries. Although machine learning (ML) has been w...

Harnessing Artificial Intelligence for the Management of Patients With GI Cancers.

Artificial intelligence (AI) has the potential of reshaping GI oncology by enabling more nuanced interpretation of complex clinical, imaging, and mole...

Artificial intelligence and computerized decision support in adult intensive care: A systematic review of randomized controlled trials.

BACKGROUND: Artificial intelligence (AI) and computerized clinical decision support systems (CDSS) are increasingly applied in intensive care, yet the...

Does Sequential Use of Multiple Chatbots Influence Emergency Guidance for Dental Avulsion?

BACKGROUND/AIM: Artificial intelligence-based chatbot systems are increasingly used for dental emergency guidance, yet the clinical value of sequentia...

Generative artificial intelligence use in medical research: A medical student vs. physician survey from Saudi Arabia.

INTRODUCTION: Generative artificial intelligence (GenAI) such as ChatGPT, is increasingly used to generate research ideas, aid in literature reviews, ...

Ai-enhanced clinical decision support reduces medication errors and adverse drug events in a multicenter teaching hospital network: A prospective randomized controlled trial.

BACKGROUND: Medication errors remain a leading source of preventable harm in hospitalized patients, contributing to adverse drug events (ADEs), prolon...