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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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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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Deep Learning–Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time

by Ayobi, Angela, Davis, Adam, Chang, Peter D., Chow, Daniel S., Nael, Kambiz, Tassy, Maxime, Quenet, Sarah, Fogola, Sylvain, Shabe, Peter, Fussell, David, Avare, Christophe, Chaibi, Yasmina
Published in American journal of neuroradiology : AJNR (04.03.2025)

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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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Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches

by Kazerouni, Faranak, Bayani, Azadeh, Asadi, Farkhondeh, Saeidi, Leyla, Parvizi, Nasrin, Mansoori, Zahra
Published in BMC bioinformatics (27.08.2020)

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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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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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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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Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation

by Beheshti, Iman, Ganaie, M. A., Paliwal, Vardhan, Rastogi, Aryan, Razzak, Imran, Tanveer, M.
Published in IEEE journal of biomedical and health informatics (01.04.2022)

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Leukemia Image Segmentation Using a Hybrid Histogram-Based Soft Covering Rough K-Means Clustering Algorithm

by Inbarani H., Hannah, Azar, Ahmad Taher, G, Jothi
Published in Electronics (Basel) (01.01.2020)

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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 classification of cancers using extreme gradient boosting algorithm and multi-omics data

by Ma, Baoshan, Meng, Fanyu, Yan, Ge, Yan, Haowen, Chai, Bingjie, Song, Fengju
Published in Computers in biology and medicine (01.06.2020)

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Enhancing cancer diagnostics through a novel deep learning-based semantic segmentation algorithm: A low-cost, high-speed, and accurate approach

by Benabbou, Tarik, Sahel, Aïcha, Badri, Abdelmajid, Mourabit, Ilham El
Published in Computers in biology and medicine (01.09.2025)

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Classification and Diagnostic Prediction of Colorectal Cancer Mortality Based on Machine Learning Algorithms: A Multicenter National Study

by Mohammadi, Gohar, Azizmohammad Looha, Mehdi, Pourhoseingholi, Mohammad Amin, Rezaei Tavirani, Mostafa, Sohrabi, Samaneh, Zareie Shab Khaneh, Amirali, Piri, Hassan, Alaei, Maryam, Parvani, Naser, Vakilzadeh, Iman, javadi, Sara, Moradian Haft Cheshmeh, Zeynab, Razzaghi, Zahra, Mahmoud Robati, Reza, Zamanian Azodi, Mona, Zarean Shahraki, Saba, Talebi, Raheleh, Charati Yazdani, Jamshid, Motlagh, Mohammad Esmaeil, Khodakarim, Soheila, Hadavi, Melika
Published in Asian Pacific journal of cancer prevention : APJCP (01.01.2024)

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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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Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging

by Wang, Hongsen, Ge, Lan, Zhou, Hang, Lu, Xu, Yu, Zhe, Peng, Peng, Wang, Xinyan, Liu, Ao, Chen, Tao, Guo, Jun, Chen, Yundai
Published in The international journal of cardiovascular imaging (01.11.2024)

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Deep Learning-Based Algorithm for Staging Secondary Caries in Bitewings

by van Nistelrooij, Niels, Chaves, Eduardo Trota, Cenci, Maximiliano Sergio, Cao, Lingyun, Loomans, Bas A.C., Xi, Tong, El Ghoul, Khalid, Romero, Vitor Henrique Digmayer, Lima, Giana Silveira, Flügge, Tabea, van Ginneken, Bram, Huysmans, Marie-Charlotte, Vinayahalingam, Shankeeth, Mendes, Fausto Medeiros
Published in Caries research (01.07.2025)

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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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Diagnostic performance and image quality of an image-based denoising algorithm applied to radiation dose-reduced CT in diagnosing acute appendicitis

by Choi, Hyeon Ui, Cho, Jungheum, Hwang, Jinhee, Lee, Seungjae, Chang, Won, Park, Ji Hoon, Lee, Kyoung Ho
Published in Abdominal imaging (01.06.2024)

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Machine-learning-based diagnostics of EEG pathology

by Gemein, Lukas A.W., Schirrmeister, Robin T., Chrabąszcz, Patryk, Wilson, Daniel, Boedecker, Joschka, Schulze-Bonhage, Andreas, Hutter, Frank, Ball, Tonio
Published in NeuroImage (Orlando, Fla.) (15.10.2020)

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