Developing cue-behavior association for habit formation: A qualitative study to explore the role of avatar in hypertension

Autor: Yujie Zhu, Yonghao Long, Lai Wei, Yaqi Zhang, Zhengtao Ma, Kun-Pyo Lee, Lie Zhang, Stephen J. Wang

Publikováno v: Digital Health, Vol 10 (2024)

Background Electronic health (eHealth) has been widely adopted in chronic disease management. Prior studies focused on time-based reminders as a cue to facilitate behavior change intentions, ignoring the development of automatic cue-behavior associat

Externí odkaz: https://doaj.org/article/4bee30e66030441a8e39719345c3f56a

Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study

Autor: Jianfeng Cao, Hon-Chi Yip, Yueyao Chen, Markus Scheppach, Xiaobei Luo, Hongzheng Yang, Ming Kit Cheng, Yonghao Long, Yueming Jin, Philip Wai-Yan Chiu, Yeung Yam, Helen Mei-Ling Meng, Qi Dou

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)

Abstract Recent advancements in artificial intelligence have witnessed human-level performance; however, AI-enabled cognitive assistance for therapeutic procedures has not been fully explored nor pre-clinically validated. Here we propose AI-Endo, an

Externí odkaz: https://doaj.org/article/96243eb8afd14b6585b89415ebb1b698

Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study

Autor: Jie Lian, Yonghao Long, Fan Huang, Kei Shing Ng, Faith M. Y. Lee, David C. L. Lam, Benjamin X. L. Fang, Qi Dou, Varut Vardhanabhuti

Publikováno v: Frontiers in Oncology, Vol 12 (2022)

BackgroundLung cancer is the leading cause of cancer-related mortality, and accurate prediction of patient survival can aid treatment planning and potentially improve outcomes. In this study, we proposed an automated system capable of lung segmentati

Externí odkaz: https://doaj.org/article/38b9778e57dd41a1af3c350e520f1fe3

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark

Autor: Martin Wagner, Beat-Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng Ann Heng, Isabell Twick, Kadir Kirtac, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes G. Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt

Publikováno v: Medical Image Analysis
Medical Image Analysis, 2023, 86, pp.102770. ⟨10.1016/j.media.2023.102770⟩
Medical Image Analysis, 86, Art.-Nr.: 102770

Purpose: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-autonomous robot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaa54a68a237fe7bbea0cf3d670d7310

Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis

Autor: Yueming Jin, Yonghao Long, Xiaojie Gao, Danail Stoyanov, Qi Dou, Pheng-Ann Heng

Publikováno v: International journal of computer assisted radiology and surgery. 17(12)

Real-time surgical workflow analysis has been a key component for computer-assisted intervention system to improve cognitive assistance. Most existing methods solely rely on conventional temporal models and encode features with a successive spatial-t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1651841842cae362aa65ce7c319ebd6
https://pubmed.ncbi.nlm.nih.gov/36129573