Latest AI and machine learning research in clinical trials for healthcare professionals.
PURPOSE OF REVIEW: Gonorrhea is the second most prevalent bacterial sexually transmitted infection globally. The proliferation of antimicrobial-resistant strains has severely limited treatment options. New treatment modalities against multidrug-resistant gonococcal infections to reduce the rate of transmission and the risk of complications are urgently needed. This review summarizes ongoing effort...
BACKGROUND/AIMS: Early detection and removal of colon polyps are critical for preventing colorectal cancer. Computer-aided detection (CADe) systems have been introduced to increase the polyp detection rate (PDR) during colonoscopy, potentially enhancing its effectiveness. This study aimed to evaluate the efficacy of a CADe system in colorectal neoplasm detection. METHODS: This prospective, randomi...
With the aging population in Europe, particularly Hungary, unhealthy aging is emerging as a growing public health challenge. Physical inactivity is a ...
BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to growing healthcare demands. AI, a global trend, hold...
The growing number of cancer cases and deaths highlights the urgent need for innovative treatment approaches. One technique that has lately been recog...
BACKGROUND: To elucidate the research progress on acupuncture therapy as a complementary and alternative medicine treatment for depression by reviewin...
INTRODUCTION: The United States Food and Drug Administration (FDA) requires post-marketing surveillance of approved drugs, and pharmaceutical manufact...
OBJECTIVES: The efficacy of an MRI-based deep learning algorithm (DLA) for detecting acute ischemic stroke (AIS) was evaluated across readers with div...
PURPOSE OF THE REVIEW: With the widespread integration of spinal cord stimulation (SCS) into clinical practice, understanding its ethical, economic, a...
Meta-research and evidence synthesis require considerable resources. Large language models (LLMs) have emerged as promising tools to assist in these p...
OBJECTIVE: This study aimed to systematically evaluate the efficacy of robot-assisted training (RAT) in improving the physical rehabilitation outcomes...
Co-creation has emerged as a transformative approach to meaningful collaboration among students, teachers, and other key stakeholders. Although co-cre...
BACKGROUND: The TAILORED-AF randomized trial demonstrated that artificial intelligence-guided ablation of spatiotemporal dispersion in addition to pul...
The bone unit (BU) is a multicellular functional unit composed of neuromodulatory networks, bone tissue, and functional blood vessels. As a functional...
Understanding and predicting real-world epidemic dynamics has consistently posed a formidable challenge. This study addresses an age-structured stocha...
BACKGROUND: Cerebral palsy (CP), a leading cause of childhood motor disability, severely impacts lower limb function. Conventional gait training (CGT)...
Amyotrophic lateral sclerosis (ALS) requires precise therapeutic monitoring of Edaravone, but current methods lack real-time capability. Herein, we de...
BACKGROUND AND OBJECTIVE: Accurate prediction of overall survival (OS) in patients with small cell lung cancer (SCLC) is crucial for personalized trea...
BACKGROUND: Major adverse cardiovascular events (MACE)-cardiovascular (CV) death, nonfatal myocardial infarction (MI), and nonfatal stroke-are highly ...