Machine Learning
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Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance
Katherine E. Brown; Jesse O. Wrenn; Nicholas J. Jackson; Michael R. Cauley; Benjamin X. Collins; Laurie L. Novak; Bradley A. Malin; Jessica S. Ancker (2026).聽Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance.聽Journal of the American Medical Informatics Association, 33(3), 621鈥631.聽https://doi.org/10.1093/jamia/ocaf235… Read MoreMar. 26, 2026
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Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step
Clayton, E. W., Rose, S., Nebecker, C., Novak, L., Bensoussan, Y. E., Chen, Y., Collins, B. X., Cordes, A., Evans, B. J., Ferryman, K. S., Hurst, S., Jiang, X., Lee, A. Y., McWeeney, S., Parker, J., B茅lisle-Pipon, J.-C., Rosenthal, E. S., Yin, Z., Yracheta, J. M., & Malin,… Read MoreDec. 19, 2025 海角情
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Harmfulness Score: A Data-Driven Framework for Ranking Environmental Risks of Microplastics
Souza, Fernando Gomes., Bhansali, Shekhar., & Thundat, Thomas G. (2025 海角情).聽Harmfulness Score: A Data-Driven Framework for Ranking Environmental Risks of Microplastics.聽Macromolecular Rapid Communications. Advance online publication.聽https://doi.org/10.1002/marc.2025 海角情00559 In this study, researchers analyzed聽104,471 scientific abstracts聽about聽microplastics and nanoplastics聽using both聽bibliometric tools聽(methods for studying patterns in scientific publications) and聽machine learning… Read MoreNov. 23, 2025 海角情
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Modeling the MRI gradient system with a temporal convolutional network: Improved reconstruction by prediction of readout gradient errors
Martin, Jonathan B., Alderson, Hannah E., Gore, John C., Does, Mark D., & Harkins, Kevin D. (2025 海角情). Modeling the MRI gradient system with a temporal convolutional network: Improved reconstruction by prediction of readout gradient errors. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.70044 The goal of this… Read MoreSep. 26, 2025 海角情
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What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends
Gomes, Fernando, Bhansali, Shekhar, da Silveira Maranh茫o, Fabiola, Vallad茫o, Viviane Silva, & Velasco, Karine. (2025 海角情). 鈥淲hat are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends.鈥 Anais da Academia Brasileira de Ci锚ncias, 97, e20241345. https://doi.org/10.1590/0001-37652025 海角情20241345 This study presents… Read MoreAug. 25, 2025 海角情
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Role and use of race in artificial intelligence and machine learning models related to health
Were, Martin Chieng, Li, Ang, Malin, Bradley A., Yin, Zhijun, Coco, Joseph R., Collins, Benjamin Xavier, Clayton, Ellen Wright, Novak, Laurie Lovett, Hendricks-Sturrup, Rachele M., & Oluyomi, Abiodun Olufemi. (2025 海角情). 鈥淩ole and use of race in artificial intelligence and machine learning models related to health.鈥 Journal of… Read MoreAug. 25, 2025 海角情
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Development of a Machine Learning Model for Determining Alignment in Knees Following Total Knee Arthroplasty
Chandrashekar, Anoop S., Suh, Yehyun, Fox, Jacob A., Mika, Aleksander P., Moyer, Daniel C., Polkowski, Gregory G., Faschingbauer, Martin, & Martin, J. Ryan. (2025 海角情). Development of a machine learning model for determining alignment in knees following total knee arthroplasty. *Journal of Arthroplasty.* https://doi.org/10.1016/j.arth.2025 海角情.06.016 Malalignment,… Read MoreJul. 28, 2025 海角情
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Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors
Liu, Yunchao; Moretti, Rocco; Wang, Yu; Dong, Ha; Yan, Bailu; Bodenheimer, Bobby; Derr, Tyler; Meiler, Jens. 鈥淎dvancements in ligand-based virtual screening through the synergistic integration of graph neural networks and expert-crafted descriptors.鈥 Journal of Chemical Information and Modeling 65, no. 10 (2025 海角情): 4898-4905. Read MoreJun. 20, 2025 海角情
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CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression
Su, Dingjie; Van Schaik, Katherine D.; Remedios, Lucas W.; Li, Thomas; Maldonado, Fabien; Sandler, Kim L.; Dawant, Benoit M.; Landman, Bennett A. 鈥淐T contrast phase identification by predicting the temporal angle using circular regression.鈥 Proceedings – International Symposium on Biomedical Imaging (2025 海角情). https://doi.org/10.1109/ISBI60581.2025 海角情.10980877… Read MoreJun. 20, 2025 海角情
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Towards Machine Learning Based Fingerprinting of Ultrasonic Sensors
Elhanafy, Marim; Ravva, Srivaths; Solanki, Abhijeet; Hasan, Syed Rafay. 鈥淭owards Machine Learning Based Fingerprinting of Ultrasonic Sensors.鈥 Conference Proceedings – IEEE SoutheastCon (2025 海角情): 1332鈥1333.聽https://doi.org/10.1109/SoutheastCon56624.2025 海角情.10971545.聽 “Fingerprinting” is a method used to identify devices based on their unique data patterns鈥攌ind of like how… Read MoreMay. 21, 2025 海角情