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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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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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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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Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases

Published in JAMA ophthalmology (01.10.2020)

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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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Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection

by Raciti, Patricia, Sue, Jillian, Retamero, Juan A., Ceballos, Rodrigo, Godrich, Ran, Kunz, Jeremy D., Casson, Adam, Thiagarajan, Dilip, Ebrahimzadeh, Zahra, Viret, Julian, Lee, Donghun, Schüffler, Peter J., DeMuth, George, Gulturk, Emre, Kanan, Christopher, Rothrock, Brandon, Reis-Filho, Jorge, Klimstra, David S., Reuter, Victor, Fuchs, Thomas J.
Published in Archives of pathology & laboratory medicine (1976) (01.10.2023)

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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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Multiparametric MRI for the improved diagnostic accuracy of Alzheimer’s disease and mild cognitive impairment: Research protocol of a case-control study design

by Piersson, Albert Dayor, Ibrahim, Buhari, Suppiah, Subapriya, Mohamad, Mazlyfarina, Hassan, Hasyma Abu, Omar, Nur Farhayu, Ibrahim, Mohd Izuan, Yusoff, Ahmad Nazlim, Ibrahim, Normala, Saripan, M. Iqbal, Razali, Rizah Mazzuin
Published in PloS one (21.09.2021)

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A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury

by Umer, Adil, Mattila, Jussi, Liedes, Hilkka, Koikkalainen, Juha, Lotjonen, Jyrki, Katila, Ari, Frantzen, Janek, Newcombe, Virginia, Tenovuo, Olli, Menon, David, van Gils, Mark
Published in IEEE journal of biomedical and health informatics (01.05.2019)

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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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AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation

by 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)

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A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography

Published in JAMA ophthalmology (01.11.2023)

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Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics

by Li, Joy Qiaoyi, Dukes, Priya Vohra, Lee, Walter, Sarkis, Michael, Vo‐Dinh, Tuan
Published in Journal of Raman spectroscopy (01.12.2022)

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Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis

by Islam, Md Mohaimenul, Yang, Hsuan-Chia, Poly, Tahmina Nasrin, Jian, Wen-Shan, (Jack) Li, Yu-Chuan
Published in Computer methods and programs in biomedicine (01.07.2020)

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One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics

by Jones, William S., Farrow, Daniel J.
Published in Scientific reports (09.04.2025)

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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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Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms

by 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)

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Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

by Bizzego, Andrea, Bussola, Nicole, Chierici, Marco, Maggio, Valerio, Francescatto, Margherita, Cima, Luca, Cristoforetti, Marco, Jurman, Giuseppe, Furlanello, Cesare
Published in PLoS computational biology (01.03.2019)

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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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Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual

by 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)

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