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Interpretability of clinical decision support systems based on artificial intelligence from technological and medical perspective: A systematic review
Q Xu, W ** an artificial intelligence-based headache diagnostic model and its utility for non-specialists' diagnostic accuracy
M Katsuki, T Shimazu, S Kikui, D Danno… - …, 2023 - journals.sagepub.com
Background Misdiagnoses of headache disorders are a serious issue. Therefore, we
developed an artificial intelligence-based headache diagnosis model using a large …
developed an artificial intelligence-based headache diagnosis model using a large …
Develo** an artificial intelligence–based diagnostic model of headaches from a dataset of clinic patients' records
M Katsuki, Y Matsumori, S Kawamura… - … : The Journal of …, 2023 - Wiley Online Library
Objective We developed an artificial intelligence (AI)‐based headache diagnosis model
using a large questionnaire database from a headache‐specializing clinic. Background …
using a large questionnaire database from a headache‐specializing clinic. Background …
[HTML][HTML] Controlling safety of artificial intelligence-based systems in healthcare
Artificial intelligence (AI)-based systems have achieved significant success in healthcare
since 2016, and AI models have accomplished medical tasks, at or above the performance …
since 2016, and AI models have accomplished medical tasks, at or above the performance …
A decision support system for primary headache developed through machine learning
F Liu, G Bao, M Yan, G Lin - PeerJ, 2022 - peerj.com
Background Primary headache is a disorder with a high incidence and low diagnostic
accuracy; the incidence of migraine and tension-type headache ranks first among primary …
accuracy; the incidence of migraine and tension-type headache ranks first among primary …
[HTML][HTML] Machine learning approach to predict medication overuse in migraine patients
Abstract Machine learning (ML) is largely used to develop automatic predictors in migraine
classification but automatic predictors for medication overuse (MO) in migraine are still in …
classification but automatic predictors for medication overuse (MO) in migraine are still in …
Clinical applications and performance of intelligent systems in dental and maxillofacial radiology: a review
R Nagi, K Aravinda, N Rakesh, R Gupta… - Imaging Science in …, 2020 - pmc.ncbi.nlm.nih.gov
Intelligent systems (ie, artificial intelligence), particularly deep learning, are machines able to
mimic the cognitive functions of humans to perform tasks of problem-solving and learning …
mimic the cognitive functions of humans to perform tasks of problem-solving and learning …
Calculation of a primary immunodeficiency “risk vital sign” via population-wide analysis of claims data to aid in clinical decision support
NL Rider, D Miao, M Dodds, V Modell, F Modell… - Frontiers in …, 2019 - frontiersin.org
Background: Early diagnosis of primary immunodeficiency disease leads to reductions in
illness and decreased healthcare costs. Analysis of electronic health record data may allow …
illness and decreased healthcare costs. Analysis of electronic health record data may allow …
Verification of a clinical decision support system for the diagnosis of headache disorders based on patient–computer interactions: a multi-center study
X Han, D Wan, S Zhang, Z Yin, S Huang, F **e… - The Journal of …, 2023 - Springer
Background Although headache disorders are common, the current diagnostic approach is
unsatisfactory. Previously, we designed a guideline-based clinical decision support system …
unsatisfactory. Previously, we designed a guideline-based clinical decision support system …