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On medical diagnosis

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Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis

arXiv.org, 2023
Driven by the large foundation models, the development of artificial intelligence has witnessed tremendous progress lately, leading to a surge of general interest from the public.
Chaoyi Wu, Jiayu Lei, Qiaoyu Zheng, Weike Zhao, Weixiong Lin, Xiaoman Zhang, Xiao Zhou, Ziheng Zhao, Ya Zhang, Yanfeng Wang, Weidi Xie   +10 more
semanticscholar   +1 more source

Augmenting Medical Diagnosis Decisions? An Investigation into Physicians' Decision-Making Process with Artificial Intelligence

Information systems research, 2021
Systems based on artificial intelligence (AI) increasingly support physicians in diagnostic decisions, but they are not without errors and biases. Failure to detect those may result in wrong diagnoses and medical errors. Compared with rule-based systems,
Ekaterina Jussupow, Kai Spohrer, Armin Heinzl, J. Gawlitza   +3 more
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Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis.

Radiology, 2022
Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in practice is critical. Clinical evaluation aims to confirm acceptable AI performance through adequate external testing and confirm the benefits of AI-assisted care ...
S. Park, Kyunghwa Han, H. Jang, Ji Eun Park, June-Goo Lee, Dong Wook Kim, Jaesoon Choi   +6 more
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Privacy-Preserving Multi-Class Support Vector Machine Model on Medical Diagnosis

IEEE journal of biomedical and health informatics, 2022
With the rapid development of machine learning in the medical cloud system, cloud-assisted medical computing provides a concrete platform for remote rapid medical diagnosis services.
Yange Chen, Qinyu Mao, Baocang Wang, Pu Duan, Benyu Zhang, Zhiyong Hong   +5 more
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Application of nanotechnology in medical diagnosis and imaging.

Current Opinion in Biotechnology, 2022
Nanotechnology has tremendously impacted the advancement in imaging, early detection, diagnosis, and prognosis of diseases by improving upon existing clinically relevant technologies. The unique biophysical properties of the nanoparticles enable contrast
Amit Singh, Mansoor M. Amiji
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Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm

Comput. Biol. Medicine, 2021
Kernel extreme learning machine (KELM) has been widely used in the fields of classification and identification since it was proposed. As the parameters in the KELM model have a crucial impact on performance, they must be optimized before the model can be
Jianfu Xia, Daqing Yang, Hong Zhou, Yuyan Chen, Hongliang Zhang, Tong Liu, Ali Asghar Heidari, Huiling Chen, Zhifang Pan   +8 more
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