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Machine-learning-algorithms-based diagnostic model for influenza A in children
Zeng, Qian, Yang, Chun, Li, Yurong, Geng, Xinran, Lv, Xin
Published in Medicine (Baltimore) (01.12.2023)
Published in Medicine (Baltimore) (01.12.2023)
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Journal Article
AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation
Zou, Xuan, He, Weijie, Huang, Yu, Ouyang, Yi, Zhang, Zhen, Wu, Yu, Wu, Yongsheng, Feng, Lili, Wu, Sheng, Yang, Mengqi, Chen, Xuyan, Zheng, Yefeng, Jiang, Rui, Chen, Ting
Published in Journal of medical Internet research (23.08.2024)
Published in Journal of medical Internet research (23.08.2024)
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Journal Article
Inconsistency in the use of the term “validation” in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging
Kim, Dong Wook, Jang, Hye Young, Ko, Yousun, Son, Jung Hee, Kim, Pyeong Hwa, Kim, Seon-Ok, Lim, Joon Seo, Park, Seong Ho
Published in PLOS ONE (11.09.2020)
Published in PLOS ONE (11.09.2020)
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Journal Article
Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
Steuer, Ashley, Fritzler, Jason, Boggan, SaraBeth, Daniel, Ian, Cowles, Bobby, Penn, Cory, Goldstein, Richard, Lin, Dan
Published in Parasites & vectors (12.11.2024)
Published in Parasites & vectors (12.11.2024)
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Journal Article
Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
Han, Seung Seog, Kim, Myoung Shin, Lim, Woohyung, Park, Gyeong Hun, Park, Ilwoo, Chang, Sung Eun
Published in Journal of investigative dermatology (01.07.2018)
Published in Journal of investigative dermatology (01.07.2018)
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Journal Article
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis
Harris, Miriam, Qi, Amy, Jeagal, Luke, Torabi, Nazi, Menzies, Dick, Korobitsyn, Alexei, Pai, Madhukar, Nathavitharana, Ruvandhi R., Ahmad Khan, Faiz
Published in PloS one (03.09.2019)
Published in PloS one (03.09.2019)
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Journal Article
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
Lei, Du, Pinaya, Walter H. L., Young, Jonathan, Amelsvoort, Therese, Marcelis, Machteld, Donohoe, Gary, Mothersill, David O., Corvin, Aiden, Vieira, Sandra, Huang, Xiaoqi, Lui, Su, Scarpazza, Cristina, Arango, Celso, Bullmore, Ed, Gong, Qiyong, McGuire, Philip, Mechelli, Andrea
Published in Human brain mapping (01.04.2020)
Published in Human brain mapping (01.04.2020)
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Journal Article
Deep Learning–Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time
Ayobi, Angela, Davis, Adam, Chang, Peter D., Chow, Daniel S., Nael, Kambiz, Tassy, Maxime, Quenet, Sarah, Fogola, Sylvain, Shabe, Peter, Fussell, David, Avare, Christophe, Chaibi, Yasmina
Published in American journal of neuroradiology : AJNR (04.03.2025)
Published in American journal of neuroradiology : AJNR (04.03.2025)
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Journal Article
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study
Campagner, Andrea, Agnello, Luisa, Carobene, Anna, Padoan, Andrea, Del Ben, Fabio, Locatelli, Massimo, Plebani, Mario, Ognibene, Agostino, Lorubbio, Maria, De Vecchi, Elena, Cortegiani, Andrea, Piva, Elisa, Poz, Donatella, Curcio, Francesco, Cabitza, Federico, Ciaccio, Marcello
Published in Journal of medical Internet research (26.02.2025)
Published in Journal of medical Internet research (26.02.2025)
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Journal Article
Machine learning algorithms enhance the specificity of cancer biomarker detection using SERS-based immunoassays in microfluidic chips
Banaei, Nariman, Moshfegh, Javad, Mohseni-Kabir, Arman, Houghton, Jean Marie, Sun, Yubing, Kim, Byung
Published in RSC advances (15.01.2019)
Published in RSC advances (15.01.2019)
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Journal Article
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance
Joo, Bio, Ahn, Sung Soo, Yoon, Pyeong Ho, Bae, Sohi, Sohn, Beomseok, Lee, Yong Eun, Bae, Jun Ho, Park, Moo Sung, Choi, Hyun Seok, Lee, Seung-Koo
Published in European radiology (01.11.2020)
Published in European radiology (01.11.2020)
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Journal Article
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study
Jang, Se Bum, Lee, Suk Hee, Lee, Dong Eun, Park, Sin-Youl, Kim, Jong Kun, Cho, Jae Wan, Cho, Jaekyung, Kim, Ki Beom, Park, Byunggeon, Park, Jongmin, Lim, Jae-Kwang
Published in PloS one (24.11.2020)
Published in PloS one (24.11.2020)
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Journal Article
Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm
Bhat, Chandrika S., Chopra, Mark, Andronikou, Savvas, Paul, Suvadip, Wener-Fligner, Zach, Merkoulovitch, Anna, Holjar-Erlic, Izidora, Menegotto, Flavia, Simpson, Ewan, Grier, David, Ramanan, Athimalaipet V.
Published in Pediatric rheumatology online journal (09.06.2020)
Published in Pediatric rheumatology online journal (09.06.2020)
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Journal Article
Use of Neural Network-Based Deep Learning Techniques for the Diagnostics of Skin Diseases
Gavrilov, D. A., Melerzanov, A. V., Shchelkunov, N. N., Zakirov, E. I.
Published in Biomedical engineering (01.01.2019)
Published in Biomedical engineering (01.01.2019)
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Journal Article
Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set
Cain, Elizabeth Hope, Saha, Ashirbani, Harowicz, Michael R., Marks, Jeffrey R., Marcom, P. Kelly, Mazurowski, Maciej A.
Published in Breast cancer research and treatment (01.01.2019)
Published in Breast cancer research and treatment (01.01.2019)
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Journal Article