Results 151 to 160 of about 5,612,298 (386)

Correlation between the accuracy of the emergency response centre’s urgency assessment and emergency medical services non-conveyance: a retrospective register-based study in Finland

BMC Emergency Medicine
Background In modern emergency medical services (EMS), ambulances increasingly focus on examining and treating the patient at the scene. This has led to increased levels of non-conveyance. In Finland, for instance, approximately 40% of EMS dispatches end
Tomi Salminen, Kaius Kaartinen, Mira Palonen, Piritta Setälä, Eija Paavilainen, Sanna Hoppu   +5 more
doaj   +1 more source

Changes in demand for initial medical care in general practice and hospital accident and emergency departments. [PDF]

, 1979
Joanna M. Watson, Emily Robinson, K. A. Harden, Rudy Crawford   +3 more
openalex   +1 more source

Chiral Engineered Biomaterials: New Frontiers in Cellular Fate Regulation for Regenerative Medicine

Advanced Functional Materials, EarlyView.
Chiral engineered biomaterials can selectively influence cell behaviors in regenerative medicine. This review covers chiral engineered biomaterials in terms of their fabrication methods, cellular response mechanisms, and applications in directing stem cell differentiation and tissue function.
Yuwen Wang, Xin Zhang, Denghui Xie, Chunying Chen, Zhifeng Huang, Zhong Alan Li   +5 more
wiley   +1 more source

Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions [PDF]

arXiv
Due to the inherent flexibility of prompting, foundation models have emerged as the predominant force in the fields of natural language processing and computer vision. The recent introduction of the Segment Anything Model (SAM) signifies a noteworthy expansion of the prompt-driven paradigm into the domain of image segmentation, thereby introducing a ...
arxiv  

Breaches of pre-medical emergency team call criteria in an Australian hospital. [PDF]

Crit Care Resusc, 2023
Jones D, Kishore K, Eastwood G, Sprogis SK, Glassford NJ.   +4 more
europepmc   +1 more source

Electric Pulse Regulated MXene Based Nanozymes for Integrative Bioelectricity Immuno‐Cancer Therapy

Advanced Functional Materials, EarlyView.
MXenzyme‐mediated bioelectricity cancer therapy (MXenzyme‐BECT) enhances cancer cell death through irreversible depolarization, ion channel disruption, ROS generation, and immunogenic cell death. Computational simulations reveal the electrical mechanisms by which MXenzyme acts on single cells and support to predict treatment parameters. Next‐generation
Sanghee Lee, Seongchan Kim, Eui‐Sang Yu, Sian Lee, Min Jun Ko, Hyojin Lee, Dong‐Hyun Kim   +6 more
wiley   +1 more source

Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering [PDF]

arXiv
Retrieval-augmented generation (RAG) has emerged as a promising approach to enhance the performance of large language models (LLMs) in knowledge-intensive tasks such as those from medical domain. However, the sensitive nature of the medical domain necessitates a completely accurate and trustworthy system.
arxiv  

Emergency Medical Services: Behavioral and Planning Perspectives [PDF]

, 1974
Janice R. Westaby
openalex   +1 more source

Advances in Radiative Heat Transfer: Bridging Far‐Field Fundamentals and Emerging Near‐Field Innovations

Advanced Functional Materials, EarlyView.
This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale, Andergachew Berhe, Rasheed T. Ogundare, Salah Abdo, Amer Abdulghani, Haroldo T. Hattori, Andrey E. Miroshnichenko   +6 more
wiley   +1 more source

Merging Clinical Knowledge into Large Language Models for Medical Research and Applications: A Survey [PDF]

arXiv
Clinical knowledge is the collection of information learned from studies on the causes, prognosis, diagnosis, and treatment of diseases. This type of knowledge can improve curing performances, and promote physical health. With the emergence of large language models (LLMs), medical artificial intelligence (medical AI), which aims to apply academic ...
arxiv