When Engineering Meets Care Coordination: A Student's Journey to Solve Health Care's Invisible Bottleneck [0.03%]
工程与医疗协调的结合点：一位学生解决医疗服务无形瓶颈之旅
Naheem Noah
Naheem Noah
Health care referral coordination remains one of the most persistent inefficiencies in the U.S. health care system, with millions of annual referrals still managed through phone calls, faxes, and manual spreadsheets. This article documents ...
Water-Content-Aware Machine Learning for Screening Multiphysics Tissue Property Tables [0.03%]
基于水分含量的机器学习筛选多物理特性表
Fatima AlZaabi,Ali Al Bataineh
Fatima AlZaabi
Tissue property tables underpin radio frequency (RF) safety assessments, bioheat simulations, and magnetic resonance imaging (MRI) specific absorption rate (SAR) modelling. Because such tables consolidate measurements from many independent ...
SafeBeat Rx-Moving ECG AI Beyond Diagnostics to Recommending Treatment [0.03%]
SafeBeat Rx——将ECG人工智能从诊断推向治疗建议领域
Rachita Navara,Margaret Ferari,Walker McHugh
Rachita Navara
Drug-induced QT prolongation is the leading cause of FDA nonapproval and a key safety concern for many medications, including cardiac drugs, antibiotics, psychotropic drugs, and oncology treatments. Conventional automated QT algorithms have...
From Bridge to Destination: How Next-Generation Ventricular Assist Devices are Redefining End-Stage Heart Failure [0.03%]
从桥梁到目的地：下一代心室辅助设备如何重新定义终末期心力衰竭治疗
Nathan Allen-Zimmerer
Nathan Allen-Zimmerer
Next-generation LVADs transform heart failure care from transplant bridge to destination therapy.
From Mentorship to Academic Growth: A Transformative IEEE EMBS Student Mentoring Experience [0.03%]
从指导到学术成长：IEEE EMBS学生导师计划的变革体验
Nyi Nyi Tun,Ramadhan Sanyoto Sugiharso Widodo,Bigit Krishna Goswami et al.
Nyi Nyi Tun et al.
The IEEE EMBS Student Mentoring Program (SMP) 2024 edition is the fourth edition, with the highest number of participants, following the successful renovation of the program in 2021. The program has maintained its momentum consecutively yea...
Kamrul Hasan,Oleg V Komogortsev
Kamrul Hasan
Generating realistic, subject-specific eye movement signals is crucial for data augmentation, gaze-based authentication, privacy-preserving analytics, and robust gaze-based interfaces. Recent advances in deep learning have enabled the gener...
James McArdle,Martin Burtscher
James McArdle
Scientific instruments and large-scale simulations produce vast amounts of floating-point data, posing challenges for storage, transfer, and analysis. Modern lossy compression reduces data size within error limits but often obscures local d...
Uncertainty-Aware Vision-Language Learning Improves Chest X-Ray Retrieval [0.03%]
不确定性感知的视觉语言学习改进胸部X光检索
Ahmad Elallaf,Yuktha Priya Masupalli,Gongbo Liang
Ahmad Elallaf
Vision-language foundation models have emerged as powerful general-purpose representation learners, but their deterministic embeddings often fail to provide the reliability required for high-stakes biomedical tasks. We introduce MedProbCLIP...
AutoJML: Generation and Verification of JML Specifications Using LLM Agents [0.03%]
AutoJML：使用LLM代理生成和验证JML规范
Ragib Shahariar Ayon,Shibbir Ahmed
Ragib Shahariar Ayon
Formal specifications such as Java Modeling Language (JML) are essential for program verification, but are complex and error-prone to write manually. Although recent large language model (LLM) based approaches automate specification generat...
Trust Is the Bottleneck [0.03%]
信任是瓶颈所在
Heena Rathore
Heena Rathore
Artificial intelligence (AI) is transforming health care across diagnostic imaging, clinical decision support, and personalized medicine. However, despite rapid technical advances, trust remains the principal bottleneck limiting clinical ad...