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Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability
Tajmir, Shahein H., Lee, Hyunkwang, Shailam, Randheer, Gale, Heather I., Nguyen, Jie C., Westra, Sjirk J., Lim, Ruth, Yune, Sehyo, Gee, Michael S., Do, Synho
Published in Skeletal radiology (01.02.2019)
Published in Skeletal radiology (01.02.2019)
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Journal Article
Advancing Hematological Point-of-Care Diagnostics: Development and Multi-Site Evaluation of a Novel AI-Enabled Diagnostic Device for CBC Analysis with Differential
Higgins, Renee, Adams, Michael, Haase, Nick, Igoe, Jessica, Krupa, Rachel, Lashgari, Ali, Levine, Ian, Palumbo, Aaron, Richardson, Robin, Schroeder, Astrid, Lee, Florence, Marrinucci, Dena
Published in Blood (02.11.2023)
Published in Blood (02.11.2023)
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Journal Article
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset
Yoo, Hyunsuk, Lee, Sang Hyup, Arru, Chiara Daniela, Doda Khera, Ruhani, Singh, Ramandeep, Siebert, Sean, Kim, Dohoon, Lee, Yuna, Park, Ju Hyun, Eom, Hye Joung, Digumarthy, Subba R., Kalra, Mannudeep K.
Published in European radiology (01.12.2021)
Published in European radiology (01.12.2021)
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Journal Article
Assessing the Level of Understanding (Knowledge) and Awareness of Diagnostic Imaging Students in Ghana on Artificial Intelligence and Its Applications in Medical Imaging
Ampofo, James William, Emery, Christian Ven, Ofori, Ishmael Nii
Published in Radiology research and practice (15.06.2023)
Published in Radiology research and practice (15.06.2023)
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Journal Article
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
Roth, Holger R., Xu, Ziyue, Tor-Díez, Carlos, Sanchez Jacob, Ramon, Zember, Jonathan, Molto, Jose, Li, Wenqi, Xu, Sheng, Turkbey, Baris, Turkbey, Evrim, Yang, Dong, Harouni, Ahmed, Rieke, Nicola, Hu, Shishuai, Isensee, Fabian, Tang, Claire, Yu, Qinji, Sölter, Jan, Zheng, Tong, Liauchuk, Vitali, Zhou, Ziqi, Moltz, Jan Hendrik, Oliveira, Bruno, Xia, Yong, Maier-Hein, Klaus H., Li, Qikai, Husch, Andreas, Zhang, Luyang, Kovalev, Vassili, Kang, Li, Hering, Alessa, Vilaça, João L., Flores, Mona, Xu, Daguang, Wood, Bradford, Linguraru, Marius George
Published in Medical image analysis (01.11.2022)
Published in Medical image analysis (01.11.2022)
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Journal Article
A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity
Hassanzadeh, Reihaneh, Abrol, Anees, Pearlson, Godfrey, Turner, Jessica A., Calhoun, Vince D.
Published in PloS one (20.05.2024)
Published in PloS one (20.05.2024)
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Journal Article
Evaluation of a deep image-to-image network (DI2IN) auto-segmentation algorithm across a network of cancer centers
Rayn, Kareem, Gupta, Vibhor, Mulinti, Suneetha, Clark, Ryan, Magliari, Anthony, Chaudhari, Suresh, Garima, Gokhroo, Beriwal, Sushil
Published in Journal of cancer research and therapeutics (01.04.2024)
Published in Journal of cancer research and therapeutics (01.04.2024)
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Journal Article
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
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)
Published in PLoS medicine (20.11.2018)
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Journal Article
Differentiating between renal medullary and clear cell renal carcinoma with a machine learning radiomics approach
Jiwani, Rahim, Pal, Koustav, Paolucci, Iwan, Odisio, Bruno, Brock, Kristy, Tannir, Nizar M, Shapiro, Daniel D, Msaouel, Pavlos, Sheth, Rahul A
Published in The oncologist (Dayton, Ohio) (06.02.2025)
Published in The oncologist (Dayton, Ohio) (06.02.2025)
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Journal Article
Comparative evaluation of commercially available AI-based cephalometric tracing programs
Baig, Nida, Gyasudeen, Kabir Syed, Bhattacharjee, Tanmoy, Chaudhry, Jahanzeb, Prasad, Sabarinath
Published in BMC oral health (18.10.2024)
Published in BMC oral health (18.10.2024)
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Journal Article
An artificial intelligence based on a convolutional neural network allows a precise analysis of the alignment of the lower limb
Bernard de Villeneuve, Florent, Jacquet, Christophe, El Kadim, Bilal, Donnez, Mathias, Coue, Olivier, Poujade, Thibault, Khakha, Raghbir, Argenson, Jean-Noel, Ollivier, Matthieu
Published in International orthopaedics (01.02.2023)
Published in International orthopaedics (01.02.2023)
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Journal Article
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
Shen, Yiqiu, Shamout, Farah E., Oliver, Jamie R., Witowski, Jan, Kannan, Kawshik, Park, Jungkyu, Wu, Nan, Huddleston, Connor, Wolfson, Stacey, Millet, Alexandra, Ehrenpreis, Robin, Awal, Divya, Tyma, Cathy, Samreen, Naziya, Gao, Yiming, Chhor, Chloe, Gandhi, Stacey, Lee, Cindy, Kumari-Subaiya, Sheila, Leonard, Cindy, Mohammed, Reyhan, Moczulski, Christopher, Altabet, Jaime, Babb, James, Lewin, Alana, Reig, Beatriu, Moy, Linda, Heacock, Laura, Geras, Krzysztof J.
Published in Nature communications (24.09.2021)
Published in Nature communications (24.09.2021)
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Journal Article
Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography
Published in Journal of thoracic imaging
(01.05.2020)
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Journal Article
Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit
Hu, Bin, He, Haitao, Shi, Zhao, Wang, Li, Liu, Quanhui, Sun, Zhiyuan, Zhang, Longjiang
Published in Neuroradiology (01.04.2025)
Published in Neuroradiology (01.04.2025)
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Journal Article