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http://dx.doi.org/10.1126/science.adx5842 | DOI Listing |
J Robot Surg
September 2025
Department of Urology, the First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Inguinal hernia represents a clinically significant yet underreported complication of robot-assisted radical prostatectomy (RARP) for localized prostate cancer, with a notably high incidence within the first postoperative year. Despite its adverse impact on quality of life and potential for severe sequelae, predictive tools for this outcome remain limited. To develop and validate the first machine learning (ML)-based clinical prediction model for inguinal hernia within 1 year after RARP, leveraging explainable artificial intelligence (AI) techniques for clinical interpretability.
View Article and Find Full Text PDFJ Clin Nurs
September 2025
The Second Xiangya Hospital, Central South University, Changsha, China.
Aim: To refine fall risk assessment scale among older adults with cognitive impairment in nursing homes.
Design: A cross-sectional survey.
Methods: Mokken analysis was conducted to refine the assessment scale based on unidimensionality, local independence, monotonicity, dimensionality, and reliability.
World J Methodol
September 2025
Department of Nursing and Midwifery Research, Hamad Medical Corporation, Doha 3050, Qatar.
Accurate prediction of nurse demand plays a crucial role in efficiently planning the healthcare workforce, ensuring appropriate staffing levels, and providing high-quality care to patients. The intricacy and variety of contemporary healthcare systems and a growing patient populace call for advanced forecasting models. Factors like technological advancements, novel treatment protocols, and the increasing prevalence of chronic illnesses have diminished the efficacy of traditional estimation approaches.
View Article and Find Full Text PDFNat Med
August 2025
Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Institute for Proactive Healthcare, Shanghai Jiao Tong University, Dep
In the context of an increasing need for clinical assessments of foundation models, we developed EyeFM, a multimodal vision-language eyecare copilot, and conducted a multifaceted evaluation, including retrospective validations, multicountry efficacy validation as a clinical copilot and a double-masked randomized controlled trial (RCT). EyeFM was pretrained on 14.5 million ocular images from five imaging modalities paired with clinical texts from global, multiethnic datasets.
View Article and Find Full Text PDFNat Commun
August 2025
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.
Wearable sensors allow non-invasive monitoring of sweat metabolites, but their reliance on molecular recognition elements limits both physiological coverage and temporal resolution. Here we report an all-flexible chronoepifluidic surface-enhanced Raman spectroscopy (CEP-SERS) patch for label-free and chronometric profiling of sweat metabolites. The CEP-SERS patch integrates plasmonic nanostructures in epifluidic microchannels for chronological sweat sampling and molecular analysis.
View Article and Find Full Text PDF