Evaluating Patient and Professional Satisfaction and Documentation Time Reduction Through AI-Driven Automatic Clinical Note Generation in Primary Care: Proof-of-Concept Study [0.03%]
Aïna Fuster-Casanovas,Josep Vidal-Alaball,Carlos Alonso et al.
Aïna Fuster-Casanovas et al.
Background: The workload that stems from writing clinical histories is one of the main sources of stress and overload for primary care professionals, accounting for up to 43% of the working day. The introduction of techno...
Large Language Model-Powered Diagnostic Co-Pilot ("CapyEngine") for Mental Disorders: Development, Evaluation, and Future Optimization Study [0.03%]
Liying Wang,Yunzhang Jiang
Liying Wang
Background: Despite the growing potential of large language models (LLMs) in mental health services, evidence on its capabilities in diagnostic processes remains limited. ...
Evaluation of a Retrieval-Augmented Generation Chatbot for Antimicrobial Resistance Research: Comparative Analysis of Large Language Models [0.03%]
Oscar Escudero-Arnanz,Manuel Eduardo Valero-Méndez,Noelia Sánchez-Ramos et al.
Oscar Escudero-Arnanz et al.
Background: Antimicrobial resistance (AMR) poses a critical global health threat, undermining the efficacy of antibiotics and complicating clinical decision-making. Although scientific literature on AMR is extensive, retr...
In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems Based on Care Pathway Simulation Models: Scoping Review [0.03%]
Michael Dorosan,Ya-Lin Chen,Yan He et al.
Michael Dorosan et al.
Background: In silico evaluation (ISE) methods create a digital twin or a computer simulation of actual care pathways, enabling a broader assessment of the potential impact of algorithm-based clinical decision support sys...
Review
JMIR AI. 2026 Mar 24:5:e72472. DOI:10.2196/72472 2026
Artificial Intelligence as a Catalyst for Value-Based Health Insurance in the United States: Narrative Review and Policy Perspective [0.03%]
Amol Kodan
Amol Kodan
The United States health insurance system is at a critical crossroads. Inflating costs, fragmented care, and administrative inefficiencies have revealed the limitations of the Fee-for-Service (FFS) model. This long-standing structure, while...
Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study [0.03%]
Vitria Wuri Handayani,Mieke Sylvia Margaretha Amiatun Ruth,Riries Rulaningtyas et al.
Vitria Wuri Handayani et al.
Background: Mandibular structures offer resilient features for forensic identification where partial remains are available in postmortem condition. Deep learning applied to cephalometric radiographs offers an opportunity ...
Perspectives on How Sociology Can Advance Theorizing About Human-Chatbot Interaction and Developing Chatbots for Social Good [0.03%]
Celeste Campos-Castillo,Xuan Kang,Linnea I Laestadius
Celeste Campos-Castillo
Recently, research into chatbots (also known as conversational agents, artificial intelligence agents, or voice assistants), which are computer applications using artificial intelligence to mimic human-like conversation, has grown sharply. ...
Development and Validation of ChatVTE: Immersive Interactive Intelligent Patient Educational System for Venous Thromboembolism [0.03%]
ChatVTE的研发与验证：一种用于静脉血栓栓塞症的沉浸式交互智能患者教育系统
Bin Bin Liu,Zhe Geng Jin,Zhe Qi Zhang et al.
Bin Bin Liu et al.
Background: Effective patient education is crucial in preventing venous thromboembolism (VTE), improving patient outcomes, and reducing healthcare costs. However, traditional educational methods often lack engagement and ...
Correction: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review [0.03%]
纠正：使用环境监听和生成型人工智能的数字记录员的现实世界证据综合：快速审查
Naga Sasidhar Kanaparthy,Yenny Villuendas-Rey,Tolulope Bakare et al.
Naga Sasidhar Kanaparthy et al.