Results 101 to 110 of about 1,037,939 (335)
Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Framework [PDF]
This paper explores the application of prompt engineering to enhance the performance of large language models (LLMs) in the domain of Traditional Chinese Medicine (TCM). We propose TCM-Prompt, a framework that integrates various pre-trained language models (PLMs), templates, tokenization, and verbalization methods, allowing researchers to easily ...
arxiv
The anterior nucleus of the thalamus plays a role in the epileptic network
Abstract Objectives We investigated both the metabolic differences and interictal/ictal discharges of the anterior nucleus of the thalamus (ANT) in patients with epilepsy to clarify the relationship between the ANT and the epileptic network. Methods Nineteen patients with drug‐resistant epilepsy who underwent stereoelectroencephalography were studied ...
Hao Yan+9 more
wiley +1 more source
BackgroundOlder representative surveys show that Traditional, Complementary and Integrative Medicine (TCIM) is used by about 60% of the German population. However, no data exists for the current nationwide situation.
Michael Jeitler+11 more
doaj +1 more source
Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation [PDF]
This study examines the clinical decision-making processes in Traditional East Asian Medicine (TEAM) by reinterpreting pattern identification (PI) through the lens of dimensionality reduction. Focusing on the Eight Principle Pattern Identification (EPPI) system and utilizing empirical data from the Shang-Han-Lun, we explore the necessity and ...
arxiv
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang+5 more
wiley +1 more source
Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine [PDF]
Traditional Chinese Medicine (TCM) involves complex compatibility mechanisms characterized by multi-component and multi-target interactions, which are challenging to quantify. To address this challenge, we applied graph artificial intelligence to develop a TCM multi-dimensional knowledge graph that bridges traditional TCM theory and modern biomedical ...
arxiv
Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray+9 more
wiley +1 more source
Human-Precision Medicine Interaction: Public Perceptions of Polygenic Risk Score for Genetic Health Prediction [PDF]
Precision Medicine (PM) transforms the traditional "one-drug-fits-all" paradigm by customising treatments based on individual characteristics, and is an emerging topic for HCI research on digital health. A key element of PM, the Polygenic Risk Score (PRS), uses genetic data to predict an individual's disease risk.
arxiv +1 more source
IROC phantoms accurately detect MLC delivery errors
Abstract Purpose We evaluated the impact of random and whole‐bank multileaf collimator (MLC) delivery errors on dosimetric delivery accuracy in the Imaging and Radiation Oncology Core (IROC) phantom audits, as well as differences in delivery accuracy between the IROC phantom prescription and typical clinical fraction sizes.
Sharbacha S. Edward+5 more
wiley +1 more source
Traditional medicine in Kenya: Past and current status, challenges, and the way forward
Traditional medicine (TM) is a concept that resonates well with many inhabitants in developing countries such as Kenya owing to its social, economic and cultural significance. According to the World Health Organization, TM refers to the knowledge, skills,
Daniel Waweru Gakuya+6 more
doaj