Latest AI and machine learning research in clinical trials for healthcare professionals.
Urban public safety is shaped by the interaction of environmental, infrastructural, and social risks that often overlap across rapidly urbanizing regions. This study develops an integrated framework combining Geographic Information Systems (GIS), Multi-Criteria Decision Analysis (MCDA), and machine learning models to assess composite urban risk. Using spatial datasets on land surface temperature, ...
High-fidelity vehicle trajectories are critical for proactive safety at intersections, where traditional reconstruction methods based on linear models or interpolation fail to capture complex nonlinear dynamics like sudden stops and sharp turns. While deep learning can model this complexity, its computational cost is prohibitive for real-time edge deployment. To address these challenges, this pape...
OBJECTIVES: To improve the accuracy of machine learning models for preoperative prediction of high-intensity focused ultrasound (HIFU) ablation effica...
OBJECTIVES: Proper bowel preparation is crucial for increasing the adenoma detection rate. A novel application based on the use of a convolutional neu...
The COVID-19 pandemic disrupted global education systems, forcing rapid shifts in teaching practices, technology integration, and assessment methods. ...
BACKGROUND: Patient recruitment for clinical trials remains a major challenge, with 86% of trials failing to meet enrollment targets on time. In over ...
Adeno-associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed...
The transition from laparoscopic to robotic surgery for left-sided colorectal cancer raises safety concerns during the learning curve, particularly wh...
Generative artificial intelligence (G-AI) is driving systemic transformations in the media industry, redefining the cultivation paradigm of media majo...
ETHNOPHARMACOLOGICAL RELEVANCE: Despite the fact that herbal medicine has been used for a long time, their clinical application is challenged by uncle...
Sensor technology has emerged as a transformative tool for point-of-need and portable quality control and safety assessment of Traditional Chinese Med...
Pedestrian safety remains a major concern, with fatalities rising despite infrastructure and safety improvements. To make meaningful progress, efforts...
BACKGROUND: Artificial intelligence (AI) is receiving growing attention in psychiatric practice, yet psychiatrists vary considerably in how they perce...
Effective postoperative management in orthopedic surgery is often hindered by challenges such as poor patient adherence to rehabilitation protocols, i...
BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially limiting knowledge acquisition and treatment adheren...
This comment relates to Kücking et al.'s (2026) study on the bidirectional effects of artificial intelligence recommendations and healthcare provider ...
Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy and proximity to vital neurovascular structures. T...
OBJECTIVE: In this paper, we propose an adaptive federated learning framework to learn optimal treatments for individual hospitals that possibly serve...
BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients wi...
Artificial intelligence (AI) continues to enhance surgical care, with growing applications in craniofacial surgery, including automated cephalometric ...