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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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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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Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma From Multi-Sequence Magnetic Resonance Imaging Based on Deep Fusion Representation Learning

by Ma, Haishu, Wang, Lili, Sun, Lingzhi, Wang, Shinan, Lu, Lulu, Zhang, Chaoyang, He, Yong, Zhu, Yuan
Published in IEEE journal of biomedical and health informatics (01.05.2025)

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Evaluation of Therapeutic Effects of Computed Tomography Imaging Classification Algorithm-Based Transcatheter Arterial Chemoembolization on Primary Hepatocellular Carcinoma

by Li, Qiang, Luo, Guang, Li, Jian
Published in Computational intelligence and neuroscience (2022)

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Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

by Kim, Dong Wook, Lee, Gaeun, Kim, So Yeon, Ahn, Geunhwi, Lee, June-Goo, Lee, Seung Soo, Kim, Kyung Won, Park, Seong Ho, Lee, Yoon Jin, Kim, Namkug
Published in European radiology (01.09.2021)

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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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Model-Based Battery Thermal Fault Diagnostics: Algorithms, Analysis, and Experiments

by Dey, Satadru, Perez, Hector E., Moura, Scott J.
Published in IEEE transactions on control systems technology (01.03.2019)

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Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review

by Romano, Andrea, Rižner, Tea Lanišnik, Werner, Henrica Maria Johanna, Semczuk, Andrzej, Lowy, Camille, Schröder, Christoph, Griesbeck, Anne, Adamski, Jerzy, Fishman, Dmytro, Tokarz, Janina
Published in Frontiers in oncology (06.04.2023)

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Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy

by Yoon, Jeewoo, Han, Jinyoung, Ko, Junseo, Choi, Seong, Park, Ji In, Hwang, Joon Seo, Han, Jeong Mo, Hwang, Daniel Duck-Jin
Published in Journal of medical Internet research (29.11.2023)

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Online generic diagnostic reservoir operation tools

by Zhao, Qiankun, Li, Donghui, Cai, Ximing
Published in Environmental modelling & software : with environment data news (01.01.2021)

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Commercially-available AI algorithm improves radiologists’ sensitivity for wrist and hand fracture detection on X-ray, compared to a CT-based ground truth

by Jacques, Thibaut, Cardot, Nicolas, Ventre, Jeanne, Demondion, Xavier, Cotten, Anne
Published in European radiology (01.05.2024)

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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case–control study

by Choi, Soo Yun, Park, Sunggyun, Kim, Minchul, Park, Jongchan, Choi, Ye Ra, Jin, Kwang Nam
Published in Medicine (Baltimore) (23.04.2021)

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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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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

by Kim, Chulho, Zhu, Vivienne, Obeid, Jihad, Lenert, Leslie
Published in PloS one (28.02.2019)

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Improving the efficiency of patient diagnostic specimen collection with the aid of a multi-modal routing algorithm

by Oakey, Andy, Martinez-Sykora, Antonio, Cherrett, Tom
Published in Computers & operations research (01.09.2023)

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Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs

by Park, Jun Young, Lee, Seung Hwan, Kim, Young Jae, Kim, Kwang Gi, Lee, Gil Jae
Published in PloS one (30.05.2024)

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Diagnostic evaluation of low‐rank matrix denoising algorithm‐based magnetic resonance imaging on tibial plateau fracture complicated with meniscus injury

by Ke, Ji, Wang, Shufa, Qiu, Zhao, Liu, Quan
Published in Expert systems (01.05.2023)

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Diagnostic accuracy of administrative data algorithms in the diagnosis of osteoarthritis: a systematic review

by Shrestha, Swastina, Dave, Amish J., Losina, Elena, Katz, Jeffrey N.
Published in BMC medical informatics and decision making (07.07.2016)

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Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images

by Singh, Law Kumar, Khanna, Munish, Monga, Himanshu, singh, Rekha, Pandey, Gaurav
Published in New generation computing (01.11.2024)

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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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