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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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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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Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images

by Martínez-Más, José, Bueno-Crespo, Andrés, Khazendar, Shan, Remezal-Solano, Manuel, Martínez-Cendán, Juan-Pedro, Jassim, Sabah, Du, Hongbo, Al Assam, Hisham, Bourne, Tom, Timmerman, Dirk
Published in PloS one (26.07.2019)

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Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms

by Albahli, Saleh, Albattah, Waleed
Published in Journal of X-ray science and technology (01.01.2020)

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Spatial machine-learning model diagnostics: a model-agnostic distance-based approach

by Brenning, Alexander
Published in International journal of geographical information science : IJGIS (04.03.2023)

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Artificial intelligence algorithm for real-time diagnostic assist in orofacial pain

by Clark, Glenn Thomas, Vistoso Monreal, Anette, Veas, Nicolas, Loeb, Gerald E.
Published in The Journal of the American Dental Association (1939) (01.08.2025)

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eDiVA—Classification and prioritization of pathogenic variants for clinical diagnostics

by Bosio, Mattia, Drechsel, Oliver, Rahman, Rubayte, Muyas, Francesc, Rabionet, Raquel, Bezdan, Daniela, Domenech Salgado, Laura, Hor, Hyun, Schott, Jean‐Jacques, Munell, Francina, Colobran, Roger, Macaya, Alfons, Estivill, Xavier, Ossowski, Stephan
Published in Human mutation (01.07.2019)

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The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

by Tschandl, Philipp, Rosendahl, Cliff, Kittler, Harald
Published in Scientific data (14.08.2018)

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COVID-19 detection using federated machine learning

by Abdul Salam, Mustafa, Taha, Sanaa, Ramadan, Mohamed
Published in PloS one (08.06.2021)

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Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers

by Kim, Dong Wook, Jang, Hye Young, Kim, Kyung Won, Shin, Youngbin, Park, Seong Ho
Published in Korean journal of radiology (01.03.2019)

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Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning–based computer-assisted detection

by Watanabe, Yoshiyuki, Tanaka, Takahiro, Nishida, Atsushi, Takahashi, Hiroto, Fujiwara, Masahiro, Fujiwara, Takuya, Arisawa, Atsuko, Yano, Hiroki, Tomiyama, Noriyuki, Nakamura, Hajime, Todo, Kenichi, Yoshiya, Kazuhisa
Published in Neuroradiology (01.05.2021)

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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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Investigating the impact of data heterogeneity on the performance of federated learning algorithm using medical imaging

by Babar, Muhammad, Qureshi, Basit, Koubaa, Anis
Published in PloS one (15.05.2024)

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A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography

by Gatos, Ilias, Tsantis, Stavros, Spiliopoulos, Stavros, Karnabatidis, Dimitris, Theotokas, Ioannis, Zoumpoulis, Pavlos, Loupas, Thanasis, Hazle, John D., Kagadis, George C.
Published in Ultrasound in medicine & biology (01.09.2017)

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Classification of pancreatic cystic neoplasms using radiomic feature analysis is equivalent to an experienced academic radiologist: a step toward computer-augmented diagnostics for radiologists

by Chu, Linda C., Park, Seyoun, Soleimani, Sahar, Fouladi, Daniel F., Shayesteh, Shahab, He, Jin, Javed, Ammar A., Wolfgang, Christopher L., Vogelstein, Bert, Kinzler, Kenneth W., Hruban, Ralph H., Afghani, Elham, Lennon, Anne Marie, Fishman, Elliot K., Kawamoto, Satomi
Published in Abdominal imaging (01.12.2022)

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Automated machine learning for prostate cancer detection and Gleason score prediction using T2WI: a diagnostic multi-center study

by Jin, Liang, Ma, Zhuangxuan, Gao, Feng, Li, Ming, Li, Haiqing, Geng, Daoying
Published in BMC cancer (01.10.2025)

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NBS-Predict: A prediction-based extension of the network-based statistic

by Serin, Emin, Zalesky, Andrew, Matory, Adu, Walter, Henrik, Kruschwitz, Johann D.
Published in NeuroImage (Orlando, Fla.) (01.12.2021)

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Multicenter Validation of a Deep Learning Detection Algorithm for Focal Cortical Dysplasia

Published in Neurology (19.10.2021)

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A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity

by Hassanzadeh, Reihaneh, Abrol, Anees, Pearlson, Godfrey, Turner, Jessica A., Calhoun, Vince D.
Published in PloS one (20.05.2024)

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A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks

by Bamorovat, Mehdi, Sharifi, Iraj, Rashedi, Esmat, Shafiian, Alireza, Sharifi, Fatemeh, Khosravi, Ahmad, Tahmouresi, Amirhossein
Published in PloS one (05.05.2021)

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