Report on the Fifth International Workshop on Health Data Management in the Era of AI (HeDAI 2023)-Reference-Cited by-同舟云学术

Report on the Fifth International Workshop on Health Data Management in the Era of AI (HeDAI 2023)

Published:2024-07-30 Issue:2 Volume:53 Page:58-62
ISSN:0163-5808
Container-title:ACM SIGMOD Record
language:en
Short-container-title:SIGMOD Rec.

Author:

Kondylakis Haridimos¹,Stefanidis Kostas²,Rao Praveen³

Affiliation:

1. Univ. of Crete & FORTH-ICS, Heraklion, Greece

2. Tampere University, Tampere, Finland

3. Univ. of Missouri-Columbia, Columbia, MO, USA

Abstract

Artificial intelligence (AI) technologies have the potential to drastically improve healthcare delivery globally. However, healthcare data are diverse, complex, and very large in size. Better information management techniques are needed to deal with the volume and heterogeneity of healthcare data. Better AI techniques are needed to fully harness healthcare datasets to improve healthcare delivery and quality of care for patients. Our workshop aimed to bring together diverse group of researchers and practitioners interested in developing next-generation solutions for challenging problems in healthcare systems. A wide range of topics ranging from federated approaches for data sharing to machine learning for predictive analytics to medical question answering were discussed during the workshop.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3685980.3685995

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