Large AI Models in Health Informatics: Applications, Challenges, and the Future

Author:

Qiu Jianing1ORCID,Li Lin2ORCID,Sun Jiankai3ORCID,Peng Jiachuan4ORCID,Shi Peilun5,Zhang Ruiyang1,Dong Yinzhao6,Lam Kyle7ORCID,Lo Frank P.-W.8ORCID,Xiao Bo8ORCID,Yuan Wu5ORCID,Wang Ningli9,Xu Dong10ORCID,Lo Benny11ORCID

Affiliation:

1. Precision Robotics (Hong Kong) Ltd., Hong Kong

2. Department of Informatics, King's College London, London, U.K.

3. School of Engineering, Stanford University, Stanford, CA, USA

4. Department of Engineering Science, University of Oxford, Oxford, U.K.

5. Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong

6. Faculty of Engineering, The University of Hong Kong, Hong Kong

7. Department of Surgery and Cancer, Imperial College London, London, U.K.

8. Hamlyn Centre for Robotic Surgery, Imperial College London, London, U.K.

9. Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China

10. Department of Electrical Engineering, University of Missouri, Columbia, MO, USA

11. Facualty of Medicine, Imperial College London, London, U.K.

Funder

Research Grants Council (RGC) of Hong Kong SAR

Innovation and Technology Fund (ITF) of Hong Kong SAR

Science, Technology and Innovation Commission (STIC) of Shenzhen Municipality

Bill & Melinda Gates Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference190 articles.

1. LAION-5B: An open large-scale dataset for training next generation image-text models;schuhmann;Proc Adv Neural Inf Process Syst,0

2. Florence: A new foundation model for computer vision;yuan,2021

3. SimVLM: Simple visual language model pretraining with weak supervision;wang;Proc Int Conf Learn Representations,0

4. FLAVA: A Foundational Language And Vision Alignment Model

5. GPipe: Efficient training of giant neural networks using pipeline parallelism;huang;Proc Adv Neural Inf Process Syst,0

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