Understanding Clinician Perceptions of GenAI: A Mixed Methods Analysis of Clinical Documentation Tasks [0.03%]
理解临床医生对基因AI的感知：临床文档任务的混合方法分析
David Fraile Navarro,A Baki Kocaballi,Shlomo Berkovsky
David Fraile Navarro
This mixed-methods study evaluated clinicians' user experience (UX) with Generative AI (GenAI) in Electronic Health Record (EHR) systems across three clinical documentation tasks (Information Extraction, Summarization, and Speech-to-Text) a...
Dissecting HealthBench: Disease Spectrum, Clinical Diversity, and Data Insights from Multi-Turn Clinical AI Evaluation Benchmark [0.03%]
剖析HealthBench：疾病谱、临床多样性及多轮临床AI评估基准的数据洞察
Jialin Liu,Siru Liu
Jialin Liu
HealthBench is an open-source, large-scale benchmark consisting of 5,000 multi-turn clinical conversations evaluated against 48,562 criteria developed by clinicians. Recognized as a significant advancement in assessing realistic artificial ...
Quantum Oncology: The Applications of Quantum Computing in Cancer Research [0.03%]
量子肿瘤学：量子计算在癌症研究中的应用
Jiaran Li,Li Li,Ning Liu et al.
Jiaran Li et al.
A global technological race is underway to develop increasingly powerful and precise quantum computers. As a transformative computing paradigm, quantum computing offers the potential for exponentially accelerating specific algorithms, there...
David P W Rastall,Mohamed Rehman
David P W Rastall
Recent reports have raised concerns about emergent behaviors in next-generation artificial intelligence (AI) models. These systems have been documented selectively adapting their behaviors during testing to falsify experimental outcomes and...
Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models [0.03%]
从特征分析到基于图像的深度学习模型的血压估计方法研究与发展综述
Vishal Singh Roha,Rahul Ranjan,Mehmet Rasit Yuce
Vishal Singh Roha
Traditional cuffless blood pressure (BP) estimation methods often require collecting physiological signals, such as electrocardiogram (ECG) and photoplethysmography (PPG), from two distinct body sites to compute metrics like pulse transit t...
Using Performance Frontiers To Evaluate Non-OR Anesthesia (NORA) Efficiency [0.03%]
运用绩效前沿评估非麻醉科医师麻醉(NORA)的效率
Justin S Routman,Erik J Zhang,Jonathan D Blocker et al.
Justin S Routman et al.
Introduction: In high-cost, high-revenue operating room (OR) suites, dashboards displaying key performance indicators are commonplace to optimize efficiency. Given the significant successes attained, further gains may ris...
Unveiling Bias in Distilled Artificial Intelligence Models: Ethical and Clinical Impacts on Decision-Making and Medical Auditing [0.03%]
揭秘蒸馏人工智能模型中的偏见：对决策和医学审计的伦理及临床影响
Gerson Hiroshi Yoshinari Júnior,Luciano Magalhães Vitorino
Gerson Hiroshi Yoshinari Júnior
Evaluating the Performance of ChatGPT on Board-Style Examination Questions in Ophthalmology: A Meta-Analysis [0.03%]
评估ChatGPT在眼科董事会考试题上的表现：一项荟萃分析
Jiawen Wei,Xiaoyan Wang,Mingxue Huang et al.
Jiawen Wei et al.
To review empirical research on ChatGPT's accuracy in answering ophthalmology board-style examination questions up to March 2025 and to analyze the effects of GPT versions, question types, language differences, and ophthalmology topics on a...
A Simulation-Based Approach for Inpatient Capacity Management at a Hospital Dedicated for Cancer Treatment [0.03%]
基于模拟的癌症专科医院住院容量管理方法研究
Anup C Mokashi,Ginger J Gardner,Adam D Klotz et al.
Anup C Mokashi et al.
This paper describes the development and application of an analytical solution to assist with inpatient flow and capacity management at Memorial Sloan Kettering Cancer Center (MSKCC) in New York City. We present a discrete-event simulation ...