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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
Diagnostic and comparative performance for the prediction of tuberculous pleural effusion using machine learning algorithms
Liu, Yanqing, Liang, Zhigang, Yang, Jing, Yuan, Songbo, Wang, Shanshan, Huang, Weina, Wu, Aihua
Published in International journal of medical informatics (Shannon, Ireland) (01.02.2024)
Published in International journal of medical informatics (Shannon, Ireland) (01.02.2024)
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Journal Article
Development of a personalized diagnostic model for kidney stone disease tailored to acute care by integrating large clinical, demographics and laboratory data: the diagnostic acute care algorithm - kidney stones (DACA-KS)
Chen, Zhaoyi, Bird, Victoria Y., Ruchi, Rupam, Segal, Mark S., Bian, Jiang, Khan, Saeed R., Elie, Marie-Carmelle, Prosperi, Mattia
Published in BMC medical informatics and decision making (17.08.2018)
Published in BMC medical informatics and decision making (17.08.2018)
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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
Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease)
Beunza, Juan-Jose, Puertas, Enrique, García-Ovejero, Ester, Villalba, Gema, Condes, Emilia, Koleva, Gergana, Hurtado, Cristian, Landecho, Manuel F.
Published in Journal of biomedical informatics (01.09.2019)
Published in Journal of biomedical informatics (01.09.2019)
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Journal Article
Machine intelligence in non-invasive endocrine cancer diagnostics
Published in Nature reviews. Endocrinology
(01.02.2022)
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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
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
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
Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System
Sekhar, Ardhendu, Biswas, Soumen, Hazra, Ranjay, Sunaniya, Arun Kumar, Mukherjee, Amrit, Yang, Lixia
Published in IEEE journal of biomedical and health informatics (01.03.2022)
Published in IEEE journal of biomedical and health informatics (01.03.2022)
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Journal Article
Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection
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)
Published in Archives of pathology & laboratory medicine (1976) (01.10.2023)
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Journal Article
Development and testing of a deep learning algorithm to detect lung consolidation among children with pneumonia using hand-held ultrasound
Kessler, David, Zhu, Meihua, Gregory, Cynthia R., Mehanian, Courosh, Avila, Jailyn, Avitable, Nick, Coneybeare, Di, Das, Devjani, Dessie, Almaz, Kennedy, Thomas M., Rabiner, Joni, Malia, Laurie, Ng, Lorraine, Nye, Megan, Vindas, Marc, Weimersheimer, Peter, Kulhare, Sourabh, Millin, Rachel, Gregory, Kenton, Zheng, Xinliang, Horning, Matthew P., Stone, Mike, Wang, Fen, Lancioni, Christina
Published in PloS one (27.08.2024)
Published in PloS one (27.08.2024)
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Journal Article
Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics
Shafqat, Sarah, Fayyaz, Maryyam, Khattak, Hasan Ali, Bilal, Muhammad, Khan, Shahid, Ishtiaq, Osama, Abbasi, Almas, Shafqat, Farzana, Alnumay, Waleed S., Chatterjee, Pushpita
Published in Neural processing letters (01.02.2023)
Published in Neural processing letters (01.02.2023)
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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