AI
-
Retaining Emotions, Removing Identity: Valence-Arousal Guided De-Identification for Educational Applications
Ashwin, T. S.; Sanda, Nihar; Coursey, Austin; Gupta, Vaibhav; Biswas, Gautam. (2026). Retaining emotions, removing identity: Valence-arousal guided de-identification for educational applications. Proceedings of the ACM Symposium on Applied Computing, 87–94. https://doi.org/10.1145/3748522.3780003 Artificial intelligence (AI) systems are increasingly being used to analyze students’ facial expressions to better understand… Read MoreJul. 28, 2026
-
An evaluation of ambient artificial intelligence scribes at two academic medical centers
Franklin, Jacob; Chu, Ling; McDonald, Samuel A.; Turer, Robert W.; Webb, Janet; Steitz, Bryan D.; Yi, Haoyang; Chen, Qingxia; McCoy, Allison B.; Nall, Carolynn; Chen, Catherine; Rousseau, Justin F.; Lehmann, Christoph U.; Willett, Duwayne L.; Kumah-Crystal, Yaa A.; Mize, Dara E. (2026). An evaluation of ambient artificial intelligence scribes… Read MoreJul. 28, 2026
-
HAT-SAM3: endoscopy-aware adaptation of a foundation segmentation model for generalizable polyp segmentation
Li, Hao; Masood, Anum. (2026). HAT-SAM3: Endoscopy-aware adaptation of a foundation segmentation model for generalizable polyp segmentation. The Visual Computer, 42(9), 371. https://doi.org/10.1007/s00371-026-04562-3 This study addresses the challenge of automatic polyp segmentation, the process of identifying and outlining polyps in colonoscopy images. While many artificial intelligence (AI) models… Read MoreJul. 28, 2026
-
Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: a scoping review
Jackson, Nicholas J.; Brown, Katherine E.; Miller, Rachael.; Murrow, Matthew.; Cauley, Michael R.; Collins, Benjamin X.; Novak, Laurie L.; Benda, Natalie C.; Ancker, Jessica S. (2026). Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: A scoping review. Journal of the American Medical Informatics Association, 33(5), 1054–1064. https://doi.org/10.1093/jamia/ocag002… Read MoreMay. 26, 2026
-
Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
Nath, Saptarshi; Peridis, Christos; Benjamin, Eseoghene; Liu, Xinran; Kolouri, Soheil; Kinnell, Peter; Li, Zexin; Liu, Cong; Dora, Shirin; Soltoggio, Andrea (2026). Policy search, retrieval, and composition via task similarity in collaborative agentic systems. Proceedings of the AAAI Conference on Artificial Intelligence, 40(29), 24504–24512. https://doi.org/10.1609/aaai.v40i29.39633 Agentic AI refers to… Read MoreApr. 29, 2026
-
ComCat: Expertise-Guided Context Generation to Enhance Code Comprehension
Skyler Grandel; Scott Thomas Andersen; Yu Huang; Kevin Leach (2026). ComCat: Expertise-guided context generation to enhance code comprehension. ACM Transactions on Software Engineering and Methodology, 35(3), Article 82. https://doi.org/10.1145/3742475 Software maintenance makes up a large share of the total cost of software over its lifetime, and a big… Read MoreMar. 26, 2026
-
A Vision-Based Deep Learning Framework for Monitoring and Recognition of Chemical Laboratory Operations
Chuntao Guo; Jing Lin; Shunxing Bao; Xin Liu; Yaru Wang; Yunlin Chen (2026). A vision-based deep learning framework for monitoring and recognition of chemical laboratory operations. Sensors, 26(4), 1106. https://doi.org/10.3390/s26041106 This study explores a way to automatically monitor how laboratory tasks are performed, focusing on pipetting—a common… Read MoreMar. 26, 2026
-
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
Enamundram Naga Karthik; Sandrine Bédard; Jan ValoÅ¡ek; Christoph S. Aigner; Elise Bannier; Josef BednaÅ™Ãk; Virginie Callot; Anna Combes; Armin Curt; Gergely David; Falk Eippert; Lynn Farner; Michael G. Fehlings; Patrick Freund; Tobias Granberg; Cristina Granziera; Ulrike Horn; Tomáš Horák; Suzanne Humphreys; Markus Hupp; Anne Kerbrat; Nawal Kinany; Shannon… Read MoreMar. 26, 2026
-
Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules
Caroline M. Godfrey; Ashley A. Leech; Kevin C. McGann; Jinyi Zhu; Hannah N. Marmor; Sophia Pena; Lyndsey C. Pickup; Fabien Maldonado; Evan C. Osmundson; Stacie B. Dusetzina; Eric L. Grogan; Stephen A. Deppen (2026). Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules. PLOS ONE,… Read MoreMar. 26, 2026
-
Img2ST-Net: efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learning
Zhu, Junchao; Deng, Ruining; Guo, Junlin; Yao, Tianyuan; Xiong, Juming; Qu, Chongyu; Yin, Mengmeng; Wang, Yu; Zhao, Shilin; Yang, Haichun; Xu, Daguang; Tang, Yucheng; & Huo, Yuankai. (2025). Img2ST-Net: Efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learning. Journal of Medical Imaging, 12(6), 61410. https://doi.org/10.1117/1.JMI.12.6.061410… Read MoreJan. 28, 2026