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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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Diagnostic accuracy of convolutional neural network–based machine learning algorithms in endoscopic severity prediction of ulcerative colitis: a systematic review and meta-analysis

by Jahagirdar, Vinay, Bapaye, Jay, Chandan, Saurabh, Ponnada, Suresh, Kochhar, Gursimran S., Navaneethan, Udayakumar, Mohan, Babu P.
Published in Gastrointestinal endoscopy (01.08.2023)

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Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

by Salvador, Raymond, Radua, Joaquim, Canales-Rodríguez, Erick J., Solanes, Aleix, Sarró, Salvador, Goikolea, José M., Valiente, Alicia, Monté, Gemma C., Natividad, María del Carmen, Guerrero-Pedraza, Amalia, Moro, Noemí, Fernández-Corcuera, Paloma, Amann, Benedikt L., Maristany, Teresa, Vieta, Eduard, McKenna, Peter J., Pomarol-Clotet, Edith
Published in PloS one (20.04.2017)

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Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening

by Li, Tao, Gao, Yingqi, Wang, Kai, Guo, Song, Liu, Hanruo, Kang, Hong
Published in Information sciences (01.10.2019)

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RNA sequencing and swarm intelligence–enhanced classification algorithm development for blood-based disease diagnostics using spliced blood platelet RNA

by Best, Myron G., In ’t Veld, Sjors G. J. G., Sol, Nik, Wurdinger, Thomas
Published in Nature protocols (01.04.2019)

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Evaluation of a Cascaded Deep Learning–based Algorithm for Prostate Lesion Detection at Biparametric MRI

by Lin, Yue, Yilmaz, Enis C., Belue, Mason J., Harmon, Stephanie A., Tetreault, Jesse, Phelps, Tim E., Merriman, Katie M., Hazen, Lindsey, Garcia, Charisse, Yang, Dong, Xu, Ziyue, Lay, Nathan S., Toubaji, Antoun, Merino, Maria J., Xu, Daguang, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J., Choyke, Peter L., Pinto, Peter A., Turkbey, Baris
Published in Radiology (01.05.2024)

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Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service

by Shahin, Mohammad, Chen, F. Frank, Hosseinzadeh, Ali, Zand, Neda
Published in International journal of advanced manufacturing technology (01.10.2023)

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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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Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

by Lee, Jong Hyuk, Park, Sunggyun, Hwang, Eui Jin, Goo, Jin Mo, Lee, Woo Young, Lee, Sangho, Kim, Hyungjin, Andrews, Jason R., Park, Chang Min
Published in European radiology (01.02.2021)

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Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm

by Dreesen, H. J. H., Stroszczynski, C., Lell, M. M.
Published in Journal of digital imaging (01.08.2024)

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Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

by Tschandl, Philipp, Codella, Noel, Akay, Bengü Nisa, Argenziano, Giuseppe, Braun, Ralph P, Cabo, Horacio, Gutman, David, Halpern, Allan, Helba, Brian, Hofmann-Wellenhof, Rainer, Lallas, Aimilios, Lapins, Jan, Longo, Caterina, Malvehy, Josep, Marchetti, Michael A, Marghoob, Ashfaq, Menzies, Scott, Oakley, Amanda, Paoli, John, Puig, Susana, Rinner, Christoph, Rosendahl, Cliff, Scope, Alon, Sinz, Christoph, Soyer, H Peter, Thomas, Luc, Zalaudek, Iris, Kittler, Harald
Published in The lancet oncology (01.07.2019)

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Fault detection diagnostic for HVAC systems via deep learning algorithms

by Taheri, Saman, Ahmadi, Amirhossein, Mohammadi-Ivatloo, Behnam, Asadi, Somayeh
Published in Energy and buildings (01.11.2021)

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Analysis of Bone Scans in Various Tumor Entities Using a Deep-Learning-Based Artificial Neural Network Algorithm—Evaluation of Diagnostic Performance

by Wuestemann, Jan, Hupfeld, Sebastian, Kupitz, Dennis, Genseke, Philipp, Schenke, Simone, Pech, Maciej, Kreissl, Michael C., Grosser, Oliver S.
Published in Cancers (17.09.2020)

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Multimodal convolutional neural network–based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video)

by Ziegler, Joceline, Dobsch, Philipp, Rozema, Marten, Zuber-Jerger, Ina, Weigand, Kilian, Reuther, Stefan, Müller, Martina, Kandulski, Arne
Published in Gastrointestinal endoscopy (01.04.2025)

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Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance

by Martini, Nicola, Aimo, Alberto, Barison, Andrea, Della Latta, Daniele, Vergaro, Giuseppe, Aquaro, Giovanni Donato, Ripoli, Andrea, Emdin, Michele, Chiappino, Dante
Published in Journal of cardiovascular magnetic resonance (07.12.2020)

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Machine learning algorithm validation with a limited sample size

by Vabalas, Andrius, Gowen, Emma, Poliakoff, Ellen, Casson, Alexander J.
Published in PloS one (07.11.2019)

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Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review

by Belić, Minja, Bobić, Vladislava, Badža, Milica, Šolaja, Nikola, Đurić-Jovičić, Milica, Kostić, Vladimir S.
Published in Clinical neurology and neurosurgery (01.09.2019)

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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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Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinoma

by Cheng, Binglin, Zhou, Peitao, Chen, Yuhan
Published in BMC bioinformatics (23.06.2022)

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