MEDICAL EMERGENCY TEAM (MET) -TOIMINTA LASTENOSASTOILLA
Sairaaloissa on perinteisesti toiminut elvytysryhmä, joka hälytetään vuodeosastoille potilaan mennessä elottomaksi. Uudempana toimintana maailmalla on levinnyt Medical Emergency Team (MET) -toiminta, jossa vuodeosaston henkilökunta ottaa yhteyttä elvytysryhmään tai vastaavaan, yleensä teho-osaston henkilökunnasta koostuvaan ryhmään, huomatessaan ...
openaire +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Ward-Based High-Flow Nasal Cannula Led by the Medical Emergency Team: A Pragmatic Model for Resource Stewardship. [PDF]
Khalid I +7 more
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
The critical role of timely medical emergency team activation in oncological and non-oncological patients. [PDF]
Bachmann KF +4 more
europepmc +1 more source
Diurnal Variation in Medical Emergency Team Calls at a Tertiary Care Children's Hospital. [PDF]
Conway SR +5 more
europepmc +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
Pediatric Emergency Medicine Didactics and Simulation (PEMDAS): Outside Medical Emergency Team Response. [PDF]
Licona-Freudenstein AP +6 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

