Results 141 to 150 of about 7,260,719 (373)

Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation [PDF]

open access: yesarXiv
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  

IROC phantoms accurately detect MLC delivery errors

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
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

Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine [PDF]

open access: yesarXiv
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  

Does dose calculation algorithm affect the dosimetric accuracy of synthetic CT for MR‐only radiotherapy planning in brain tumors?

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui   +3 more
wiley   +1 more source

Human-Precision Medicine Interaction: Public Perceptions of Polygenic Risk Score for Genetic Health Prediction [PDF]

open access: yes
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

The Missing Piece: Understanding Nairobi’s Traditional Medical Practitioners [PDF]

open access: yes, 2006
Currently, there is a problem of access to biomedical health services to large portions of Nairobi’s population. Traditional herbal medicine has long been practiced in Kenya, and though studies have shown that traditional medicine has been effective ...
Dahodwala, Mufaddal
core   +1 more source

T2‐weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare image quality and clinical utility of a T2‐weighted (T2W) 3‐dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Dan Nguyen   +11 more
wiley   +1 more source

The Merging of Traditional Chinese Medicine and Western Medicine in China: Old Ideas Cross-Culturally Communicated Through New Perspectives [PDF]

open access: yes, 1989
The People\u27s Republic of China is engaged in reforms which involve development of its economic, cultural, educational, and political processes. The need for reform has been realized as China has fallen behind the development of the western world in ...
Schnell, James A.
core   +1 more source

A review of artificial intelligence in brachytherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen   +4 more
wiley   +1 more source

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