Evaluation of DeepSeek-R1 for Ophthalmic Diagnosis and Reasoning: A Comparison with OpenAI o1 and o3 [0.03%]
DeepSeek-R1在眼科诊断和推理中的评估：与OpenAI o1和o3的比较
Shuai Ming,Xi Yao,Qingge Guo et al.
Shuai Ming et al.
Background: DeepSeek-R1, an open-source reasoning large language model (LLM) clinically deployed in Chinese hospitals, still lacks validation in ophthalmology. ...
Comparative Study
Journal of medical systems. 2025 Oct 8;49(1):130. DOI:10.1007/s10916-025-02264-2 2025
Revisiting Challenges in Real-world Video Colonoscopy using End-to-End Two Stream Polyp Detection Transformer (TS-PDTR) [0.03%]
基于端到端双流PDTR的结肠镜视频检测方法挑战及探索
Tianyuan Gan,Chongan Zhang,Peng Wang et al.
Tianyuan Gan et al.
Accurate polyp detection is essential for the early diagnosis and effective treatment of colorectal cancer (CRC). However, colonoscopy videos in real-world clinical settings present significant challenges, often causing existing algorithms ...
Invisible Bias in GPT-4o-mini: Detecting Disparities in AI-Generated Patient Messaging [0.03%]
GPT-4o-mini中的隐形偏见：检测AI生成的患者信息中的差异性
Christopher Reagen,Katelyn M Brown,Thomas Hocker
Christopher Reagen
Artificial intelligence (AI), specifically large language models (LLM), have gained significant popularity over the last decade with increased performance and expanding applications. AI could improve the quality of patient care in medicine ...
Development of Normative Ranges for Vital Signs and Differentiation by American Society of Anesthesiologists Physical Status Category: A Retrospective Observational Study [0.03%]
生理体征的正常范围的发展及美国麻醉医师协会身体状况分类的区分：一项回顾性观察研究
Bruno Caracci,Will Dixon,Rilong Zhang et al.
Bruno Caracci et al.
Normative ranges for vital signs under general anesthesia are well established for healthy pediatric patients, but the influence of The American Society of Anesthesiologists Physical Status (ASA-PS) classification on these normative ranges ...
Observational Study
Journal of medical systems. 2025 Oct 7;49(1):126. DOI:10.1007/s10916-025-02270-4 2025
Unburdening Patients and Clinicians Through Automation and Artificial Intelligence: Informatics Strategies for Reducing Administrative Burden [0.03%]
通过自动化和人工智能减轻患者和临床医生的负担：减少行政负担的信息学策略
Caleb Keng,Anthony DiGiorgio,Jesse M Ehrenfeld et al.
Caleb Keng et al.
Healthcare delivery systems face mounting administrative complexity that contributes to clinician burnout, medical errors, and reduced access to care for patients. This editorial explores how automation and artificial intelligence (AI) can ...
A Trust-Aware Architecture for Personalized Digital Health: Integrating Blueprint Personas and Ontology-Based Reasoning [0.03%]
一种面向个性化数字健康的信任感知架构：整合蓝图人物模型与本体推理
Alina Vozna,Andrea Monaldini,Stefania Costantini
Alina Vozna
This paper presents a trust-aware architecture for personalized digital health that combines user modeling, symbolic reasoning, and adaptive trust mechanisms. The proposed system uses Blueprint Personas to capture detailed patient profiles,...
Activities of Daily Living Detection through Energy Consumption Data and Machine Learning to Support Independent Aging [0.03%]
基于能量消耗数据和机器学习的日常活动检测以支持独立老龄化
Alejandro Pérez-Vereda,Jesús Fontecha,Adrián Sanchez-Miguel et al.
Alejandro Pérez-Vereda et al.
The aging population presents significant challenges for healthcare and social services, emphasizing the need for innovative solutions that support independent living. This study explores the feasibility of identifying Instrumental Activiti...
Activities of Daily Living Detection through Energy Consumption Data and Machine Learning to Support Independent Aging [0.03%]
基于能耗数据和机器学习的日常行为识别支持独立老龄化研究
Alejandro Pérez-Vereda,Jesús Fontecha,Adrián Sanchez-Miguel et al.
Alejandro Pérez-Vereda et al.
The aging population presents significant challenges for healthcare and social services, emphasizing the need for innovative solutions that support independent living. This study explores the feasibility of identifying Instrumental Activiti...
GAN-Enhanced Hybrid Deep Learning with Explainable AI for Automated Cataract Diagnosis [0.03%]
基于可解释人工智能的GAN增强型混合深度学习的自动化白内障诊断方法
Shashank Mouli Satapathy,Mitali Gopinath Paul,Anusha Garg et al.
Shashank Mouli Satapathy et al.
Cataracts, among the most prevalent eye disorders, result in diminished vision due to cloudiness in the eye's natural lens. Timely diagnosis is crucial for preventing irreversible damage. While effective, existing automated systems encounte...
Performance of Large Language Models in Complex Anesthesia Decision-Making: A Comparative Study of Four LLMs in High-Risk Patients [0.03%]
大型语言模型在复杂麻醉决策中的表现：四种LLM在高风险患者中的比较研究
Qian Ruan,Jinghong Shi,Yunke Dai et al.
Qian Ruan et al.
To evaluate and compare the performance of four Large Language Models (LLMs) in anesthesia decision-making for critically ill obstetric and geriatric patients and analyze their decision reliability across different surgical specialties. Pro...
Comparative Study
Journal of medical systems. 2025 Oct 1;49(1):122. DOI:10.1007/s10916-025-02247-3 2025