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CBMS 2027: IEEE International Symposium on Computer-Based Medical Systems

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截稿日期:
2027-01-20 还有 70 天
通知日期:
2027-03-05
会议日期:
2027-06-23
会议地点:
Rome, Italy
届数:
加入日历: Google 日历 · Outlook / Apple 日历（.ics）
ICORE: B   QUALIS: B1   浏览: 34128   关注: 0   参加: 2
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CBMS
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会伴指数 (CP-I)

67.1 / 100
全站第 408 名 / 共 5,771 个会议 · 前 8%

生物信息学与健康信息学 第 10 / 184

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
100
社区关注 (10%)
16
资料公开度 (15%)
55

用到的输入: 收录等级：ICORE B, QUALIS B1 · 有据可查的届次：40 · 过去 24 个月打开过本页的研究者：7 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-11

征稿

CBMS 2027 (IEEE International Symposium on Computer-Based Medical Systems) is a ICORE B / QUALIS B1 conference held in Rome, Italy on 2027-06-23. The paper submission deadline is 2027-01-20. Acceptance notifications are sent on 2027-03-05.

The IEEE International Symposium on Computer-Based Medical Systems (CBMS) is a leading international forum bringing together researchers, clinicians, engineers, and industry professionals to share advances in computer-based technologies for healthcare and biomedical research. The 40th edition of IEEE CBMS will take place in Rome, Italy, at Università Campus Bio-Medico di Roma, from June 23 to 25, 2027. IEEE CBMS 2027 invites original, unpublished research contributions addressing innovative computational methods, intelligent systems, and real-world applications in medicine and healthcare. The symposium provides an international platform for exchanging ideas, presenting cutting-edge research, and fostering interdisciplinary collaborations between academia, healthcare institutions, and industry. The scientific programme is expected to feature regular and special track sessions, keynote presentations, and opportunities for scientific exchange. Topics of Interest We welcome original research contributions in areas including, but not limited to: Artificial Intelligence and Machine Learning in Healthcare Generative AI and Foundation Models for Biomedicine Explainable, Trustworthy and Responsible AI in Medicine Clinical Decision Support Systems and Personalized Medicine Biomedical Image and Signal Processing Multimodal Learning and Medical Data Integration Big Data Analytics and Knowledge Discovery in Healthcare Bioinformatics and Computational Biology Biomarker Discovery and Drug Design Digital Twins and Personalized AI Models Medical Robotics and Intelligent Medical Devices Wearable Technologies and Remote Patient Monitoring Digital Health, e-Health, m-Health and Telemedicine Computational Methods for Public Health Radiomics and Radiogenomics Health Information Systems and Semantic Interoperability Privacy, Security and Ethics in Healthcare Technologies Human–Computer Interaction and Extended Reality in Healthcare Smart Technologies for Active and Healthy Ageing Real-World Applications and Clinical Validation of AI Systems
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