On Counterfactual Explanations of Cardiovascular Risk in Adolescent and Young Adult Breast Cancer Survivors [0.03%]
关于青少年和青壮年乳腺癌幸存者心血管风险的因果推断解释
Antonio Balordi,Alice Bernasconi,Alessandra Andreotti et al.
Antonio Balordi et al.
Cancer treatments might lead to several long-term effects. In this work we investigate their causal role on ischemic heart disease and their potential precursors (i.e. hypertension and dyslipidemia) of the ovarian suppression therapy in ado...
Predicting All-Cause Mortality in Diabetic Patients 2 Years in Advance Using Aggregated EHR Data and Machine Learning [0.03%]
基于电子病历数据和机器学习预测糖尿病患者两年后的全因死亡率
Neda Aminnejad,Emmalin Buajitti,Laura C Rosella et al.
Neda Aminnejad et al.
This study presents a machine learning-driven model predicting all-cause mortality two years in advance using administrative health data focused on diabetic patients. Integrating hospitalization records, emergency department data, demograph...
Anesthesia Point-of-Care Nitrous Oxide Cylinder Leakage and a Proposed Engineering Control Solution [0.03%]
笑气吸入麻醉中笑气压缩气瓶漏气及工程控制解决方案的探讨
David B Wax,Muoi A Trinh
David B Wax
Prediction of Personalised Hypertension Using Machine Learning in Indonesian Population [0.03%]
机器学习预测印度尼西亚人群高血压个性化风险研究
Edo Septian,Muhammad Rizal Khaefi,Achmad Athoillah et al.
Edo Septian et al.
This study aims to enhance individual hypertension risk prediction in Indonesia using machine learning (ML) models. The research investigates the predictive accuracy of models with and without incorporating personal hypertension history, se...
Evaluation of an Autonomous Robotic System for Reducing Radiation Risk in a Real-World Cardiac Imaging Laboratory [0.03%]
评估自主机器人系统在实际心脏影像实验室中降低辐射风险的效果
Johnathan Loh,Yong Jin Tan,Kimberly Joseph et al.
Johnathan Loh et al.
Background: Nuclear imaging is the cornerstone of clinical practice across many disciplines. Few innovations in imaging have addressed occupational health of radiographers exposed to radiation in their daily work. In this...
Novel Insights into the Application of Large Language Models in the Diagnosis and Treatment of Complex Cardiovascular Diseases: A Comparative Study [0.03%]
大型语言模型在复杂心血管疾病诊断和治疗中的应用新见解：一项比较研究
Menglin Tian,Shaolong Li,Wenyin Du et al.
Menglin Tian et al.
The rapid evolution of large language models (LLMs) in the medical field, particularly in automating medical tasks and supporting diagnosis and treatment, has shown promising potential. However, their accuracy, comprehensiveness, and safety...
Comparative Study
Journal of medical systems. 2025 Oct 10;49(1):135. DOI:10.1007/s10916-025-02283-z 2025
Development of a Smartphone-Based Inventory Management System for Emergency Carts [0.03%]
基于智能手机的急救车库存管理系统的研究与开发
Chia-Hui Liu,Nian-Yin Wu,Che-Chia Liu et al.
Chia-Hui Liu et al.
Inventory management for emergency carts is one of the routine tasks in hospitals. It is highly desirable to simplify the workflow of the inventory task since healthcare staffs always work under high pressure and heavy workload. In this stu...
Real-Time Identification of Cricothyrotomy Landmarks in Emergency Care and Obstetric Patients Using Wireless Handheld Ultrasound and Edge-Computing Artificial Intelligence: A Prospective Observational Study [0.03%]
基于无线手持超声和边缘计算人工智能技术的紧急救治及产科患者环甲膜切开术定位：前瞻性观察研究
Cheng-Yi Wu,Jia-Da Li,Po-Yuan Shih et al.
Cheng-Yi Wu et al.
This study aimed to develop machine learning-based algorithms to assist physicians in ultrasound-guided localization of the cricoid cartilage (CC), thyroid cartilage (TC), and cricothyroid membrane (CTM) for cricothyroidotomy. Adult female ...
Observational Study
Journal of medical systems. 2025 Oct 10;49(1):131. DOI:10.1007/s10916-025-02275-z 2025
A Multimodal Convolutional Neural Network Model for Parkinson's Disease Diagnosis Based on Fused Handwriting Dynamics Signals [0.03%]
基于融合笔迹动力学信号的帕金森病多模态卷积神经网络模型
Emre Sahin,Eda Akman Aydin
Emre Sahin
Parkinson's disease (PD) is a prevalent and complex neurodegenerative disorder, with early diagnosis playing a critical role in timely treatment and management. Handwriting dynamics has emerged as a promising biomarker for early detection o...