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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

by 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)

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Comparing machine and deep learning‐based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging

by Smucny, Jason, Davidson, Ian, Carter, Cameron S.
Published in Human brain mapping (01.03.2021)

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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

by Kim, Chulho, Zhu, Vivienne, Obeid, Jihad, Lenert, Leslie
Published in PloS one (28.02.2019)

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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study

by 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)

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A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis

by 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)

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Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods

by Burlina, Philippe, Billings, Seth, Joshi, Neil, Albayda, Jemima
Published in PloS one (30.08.2017)

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Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas

by 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)

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A feature agnostic approach for glaucoma detection in OCT volumes

by Maetschke, Stefan, Antony, Bhavna, Ishikawa, Hiroshi, Wollstein, Gadi, Schuman, Joel, Garnavi, Rahil
Published in PloS one (01.07.2019)

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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

by 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)

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Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study

by 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)

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Models of Artificial Intelligence-Assisted Diagnosis of Lung Cancer Pathology Based on Deep Learning Algorithms

by Chen, Su
Published in Journal of healthcare engineering (26.03.2022)

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Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

by Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Cohen, Julien G., Ferretti, Gilbert R., Park, Chang Min
Published in JAMA network open (01.03.2019)

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Food anaphylaxis diagnostic marker compilation in machine learning design and validation

by Randhawa, Inderpal S., Groshenkov, Kirill, Sigalov, Grigori
Published in PloS one (05.04.2023)

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Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women

by 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)

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Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device: Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device

by Zhou, Menglian, Sharma, Ruchi, Zhu, Hongbo, Li, Ziqi, Li, Jiliang, Wang, Shiyu, Bisco, Erin, Massey, Justin, Pennington, Amanda, Sjoding, Michael, Dickson, Robert P., Park, Pauline, Hyzy, Robert, Napolitano, Lena, Gillies, Christopher E., Ward, Kevin R., Fan, Xudong
Published in Analytical and bioanalytical chemistry (01.09.2019)

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Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography

by Kasim, Sazzli, Tang, Junjie, Malek, Sorayya, Ibrahim, Khairul Shafiq, Shariff, Raja Ezman Raja, Chima, Jesvinna Kaur
Published in PloS one (12.09.2024)

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Application of machine learning algorithms for multiparametric MRI-based evaluation of murine colitis

by Ellmann, Stephan, Langer, Victoria, Britzen-Laurent, Nathalie, Hildner, Kai, Huber, Carina, Tripal, Philipp, Seyler, Lisa, Waldner, Maximilian, Uder, Michael, Stürzl, Michael, Bäuerle, Tobias
Published in PloS one (26.10.2018)

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Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?

by 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)

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A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms

by Al-Dhief, Fahad Taha, Latiff, Nurul Mu'azzah Abdul, Malik, Nik Noordini Nik Abd, Salim, Naseer Sabri, Baki, Marina Mat, Albadr, Musatafa Abbas Abbood, Mohammed, Mazin Abed
Published in IEEE access (2020)

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A new diagnostic approach for the identification of patients with neurodegenerative cognitive complaints

by Al-Hameed, Sabah, Benaissa, Mohammed, Christensen, Heidi, Mirheidari, Bahman, Blackburn, Daniel, Reuber, Markus
Published in PloS one (24.05.2019)

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