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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
Optical mesoscopy, machine learning, and computational microscopy enable high information content diagnostic imaging of blood films
Shaw, Michael, Claveau, Rémy, Manescu, Petru, Elmi, Muna, Brown, Biobele J, Scrimgeour, Ross, Kölln, Lisa S, McConnell, Gail, Fernandez‐Reyes, Delmiro
Published in The Journal of pathology (01.09.2021)
Published in The Journal of pathology (01.09.2021)
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Journal Article
eDiVA—Classification and prioritization of pathogenic variants for clinical diagnostics
Bosio, Mattia, Drechsel, Oliver, Rahman, Rubayte, Muyas, Francesc, Rabionet, Raquel, Bezdan, Daniela, Domenech Salgado, Laura, Hor, Hyun, Schott, Jean‐Jacques, Munell, Francina, Colobran, Roger, Macaya, Alfons, Estivill, Xavier, Ossowski, Stephan
Published in Human mutation (01.07.2019)
Published in Human mutation (01.07.2019)
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Journal Article
Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning–based computer-assisted detection
Watanabe, Yoshiyuki, Tanaka, Takahiro, Nishida, Atsushi, Takahashi, Hiroto, Fujiwara, Masahiro, Fujiwara, Takuya, Arisawa, Atsuko, Yano, Hiroki, Tomiyama, Noriyuki, Nakamura, Hajime, Todo, Kenichi, Yoshiya, Kazuhisa
Published in Neuroradiology (01.05.2021)
Published in Neuroradiology (01.05.2021)
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Journal Article
Deep learning–based algorithm improved radiologists’ performance in bone metastases detection on CT
Noguchi, Shunjiro, Nishio, Mizuho, Sakamoto, Ryo, Yakami, Masahiro, Fujimoto, Koji, Emoto, Yutaka, Kubo, Takeshi, Iizuka, Yoshio, Nakagomi, Keita, Miyasa, Kazuhiro, Satoh, Kiyohide, Nakamoto, Yuji
Published in European radiology (01.11.2022)
Published in European radiology (01.11.2022)
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Journal Article
Machine learning for diagnostic ultrasound of triple-negative breast cancer
Wu, Tong, Sultan, Laith R., Tian, Jiawei, Cary, Theodore W., Sehgal, Chandra M.
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
Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms
Teng, Pai-Hsueh, Liang, Chia-Hao, Lin, Yun, Alberich-Bayarri, Angel, González, Rafael López, Li, Pin-Wei, Weng, Yu-Hsin, Chen, Yi-Ting, Lin, Chih-Hsien, Chou, Kang-Ju, Chen, Yao-Shen, Wu, Fu-Zong
Published in Medicine (Baltimore) (11.06.2021)
Published in Medicine (Baltimore) (11.06.2021)
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Journal Article
Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules
Song, Junho, Chai, Young Jun, Masuoka, Hiroo, Park, Sun-Won, Kim, Su-jin, Choi, June Young, Kong, Hyoun-Joong, Lee, Kyu Eun, Lee, Joongseek, Kwak, Nojun, Yi, Ka Hee, Miyauchi, Akira
Published in Medicine (01.04.2019)
Published in Medicine (01.04.2019)
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Journal Article
Construction of machine learning diagnostic models for cardiovascular pan-disease based on blood routine and biochemical detection data
Wang, Zhicheng, Gu, Ying, Huang, Lindan, Liu, Shuai, Chen, Qun, Yang, Yunyun, Hong, Guolin, Ning, Wanshan
Published in Cardiovascular diabetology (28.09.2024)
Published in Cardiovascular diabetology (28.09.2024)
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Journal Article
Interpretation of microbiota-based diagnostics by explaining individual classifier decisions
Eck, A., Zintgraf, L. M., de Groot, E. F. J., de Meij, T. G. J., Cohen, T. S., Savelkoul, P. H. M., Welling, M., Budding, A. E.
Published in BMC bioinformatics (04.10.2017)
Published in BMC bioinformatics (04.10.2017)
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Journal Article
Classification of pancreatic cystic neoplasms using radiomic feature analysis is equivalent to an experienced academic radiologist: a step toward computer-augmented diagnostics for radiologists
Chu, Linda C., Park, Seyoun, Soleimani, Sahar, Fouladi, Daniel F., Shayesteh, Shahab, He, Jin, Javed, Ammar A., Wolfgang, Christopher L., Vogelstein, Bert, Kinzler, Kenneth W., Hruban, Ralph H., Afghani, Elham, Lennon, Anne Marie, Fishman, Elliot K., Kawamoto, Satomi
Published in Abdominal imaging (01.12.2022)
Published in Abdominal imaging (01.12.2022)
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Journal Article