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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity
Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)
Published in PloS one (22.09.2020)
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Journal Article
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Gulshan, Varun, Peng, Lily, Coram, Marc, Stumpe, Martin C, Wu, Derek, Narayanaswamy, Arunachalam, Venugopalan, Subhashini, Widner, Kasumi, Madams, Tom, Cuadros, Jorge, Kim, Ramasamy, Raman, Rajiv, Nelson, Philip C, Mega, Jessica L, Webster, Dale R
Published in JAMA : the journal of the American Medical Association (13.12.2016)
Published in JAMA : the journal of the American Medical Association (13.12.2016)
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Journal Article
Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms
Rinesh, S., Maheswari, K., Arthi, B., Sherubha, P., Vijay, A., Sridhar, S., Rajendran, T., Waji, Yosef Asrat
Published in Journal of healthcare engineering (14.02.2022)
Published in Journal of healthcare engineering (14.02.2022)
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Journal Article
Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women
Das, Reena, Saleh, Sarkaft, Nielsen, Izabela, Kaviraj, Anilava, Sharma, Prashant, Dey, Kartick, Saha, Subrata
Published in International journal of medical informatics (Shannon, Ireland) (01.11.2022)
Published in International journal of medical informatics (Shannon, Ireland) (01.11.2022)
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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
Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning
Gangil, Tarun, Sharan, Krishna, Rao, B. Dinesh, Palanisamy, Krishnamoorthy, Chakrabarti, Biswaroop, Kadavigere, Rajagopal
Published in PloS one (15.12.2022)
Published in PloS one (15.12.2022)
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Journal Article
Explainable AI identifies diagnostic cells of genetic AML subtypes
Hehr, Matthias, Sadafi, Ario, Matek, Christian, Lienemann, Peter, Pohlkamp, Christian, Haferlach, Torsten, Spiekermann, Karsten, Marr, Carsten
Published in PLOS digital health (01.03.2023)
Published in PLOS digital health (01.03.2023)
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Journal Article
Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas
van IJzendoorn, David G. P., Szuhai, Karoly, Briaire-de Bruijn, Inge H., Kostine, Marie, Kuijjer, Marieke L., Bovée, Judith V. M. G.
Published in PLoS computational biology (01.02.2019)
Published in PLoS computational biology (01.02.2019)
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Journal Article
A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study
Zou, Xiao-Ling, Ren, Yong, Feng, Ding-Yun, He, Xu-Qi, Guo, Yue-Fei, Yang, Hai-Ling, Li, Xian, Fang, Jia, Li, Quan, Ye, Jun-Jie, Han, Lan-Qing, Zhang, Tian-Tuo
Published in PloS one (24.07.2020)
Published in PloS one (24.07.2020)
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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
Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?
Grigull, Lorenz, Mehmecke, Sandra, Rother, Ann-Katrin, Blöß, Susanne, Klemann, Christian, Schumacher, Ulrike, Mücke, Urs, Kortum, Xiaowei, Lechner, Werner, Klawonn, Frank
Published in PloS one (10.10.2019)
Published in PloS one (10.10.2019)
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Journal Article