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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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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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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 algorithm improved radiologists’ performance in bone metastases detection on CT

by Noguchi, Shunjiro, Nishio, Mizuho, Sakamoto, Ryo, Yakami, Masahiro, Fujimoto, Koji, Emoto, Yutaka, Kubo, Takeshi, Iizuka, Yoshio, Nakagomi, Keita, Miyasa, Kazuhiro, Satoh, Kiyohide, Nakamoto, Yuji
Published in European radiology (01.11.2022)

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Diagnostic validation of vertebral heart score machine learning algorithm for canine lateral chest radiographs

by Solomon, J., Bender, S., Durgempudi, P., Robar, C., Cocchiaro, M., Turner, S., Watson, C., Healy, J., Spake, A., Szlosek, D.
Published in Journal of small animal practice (01.12.2023)

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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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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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Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set

by Cain, Elizabeth Hope, Saha, Ashirbani, Harowicz, Michael R., Marks, Jeffrey R., Marcom, P. Kelly, Mazurowski, Maciej A.
Published in Breast cancer research and treatment (01.01.2019)

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Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans

by D’Angelo, Tommaso, Bucolo, Giuseppe M., Kamareddine, Tarek, Yel, Ibrahim, Koch, Vitali, Gruenewald, Leon D., Martin, Simon, Alizadeh, Leona S., Mazziotti, Silvio, Blandino, Alfredo, Vogl, Thomas J., Booz, Christian
Published in Radiologia medica (01.10.2024)

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Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists

by Antonelli, Michela, Johnston, Edward W., Dikaios, Nikolaos, Cheung, King K., Sidhu, Harbir S., Appayya, Mrishta B., Giganti, Francesco, Simmons, Lucy A. M., Freeman, Alex, Allen, Clare, Ahmed, Hashim U., Atkinson, David, Ourselin, Sebastien, Punwani, Shonit
Published in European radiology (01.09.2019)

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Differentiating Benign From Malignant Cystic Renal Masses: A Feasibility Study of Computed Tomography Texture-Based Machine Learning Algorithms

by Miskin, Nityanand, Qin, Lei, Silverman, Stuart G, Shinagare, Atul B
Published in Journal of computer assisted tomography (01.05.2023)

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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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Development of machine learning models for diagnosis of glaucoma

by Kim, Seong Jae, Cho, Kyong Jin, Oh, Sejong
Published in PloS one (23.05.2017)

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Machine learning: applications of artificial intelligence to imaging and diagnosis

by Nichols, James A., Herbert Chan, Hsien W., Baker, Matthew A. B.
Published in Biophysical reviews (01.02.2019)

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Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning

by Abràmoff, Michael David, Lou, Yiyue, Erginay, Ali, Clarida, Warren, Amelon, Ryan, Folk, James C., Niemeijer, Meindert
Published in Investigative ophthalmology & visual science (01.10.2016)

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Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration

by Noda, Yoshifumi, Kawai, Nobuyuki, Nagata, Shoma, Nakamura, Fumihiko, Mori, Takayuki, Miyoshi, Toshiharu, Suzuki, Ryosuke, Kitahara, Fumiya, Kato, Hiroki, Hyodo, Fuminori, Matsuo, Masayuki
Published in European radiology (01.01.2022)

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Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics

by Wildeboer, Rogier R., Mannaerts, Christophe K., van Sloun, Ruud J. G., Budäus, Lars, Tilki, Derya, Wijkstra, Hessel, Salomon, Georg, Mischi, Massimo
Published in European radiology (01.02.2020)

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Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization

by Nishio, Mizuho, Nishizawa, Mitsuo, Sugiyama, Osamu, Kojima, Ryosuke, Yakami, Masahiro, Kuroda, Tomohiro, Togashi, Kaori
Published in PloS one (19.04.2018)

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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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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

by Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L., Zhu, Kaylie, Yang, Brandon, Mehta, Hershel, Duan, Tony, Ding, Daisy, Bagul, Aarti, Langlotz, Curtis P., Patel, Bhavik N., Yeom, Kristen W., Shpanskaya, Katie, Blankenberg, Francis G., Seekins, Jayne, Amrhein, Timothy J., Mong, David A., Halabi, Safwan S., Zucker, Evan J., Ng, Andrew Y., Lungren, Matthew P.
Published in PLoS medicine (20.11.2018)

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