Robotics & Machine Learning Daily News2024,Issue(Feb.13) :86-87.DOI:10.3934/mbe.2024073

Fudan University Reports Findings in Artificial Intelligence [Artificial intelligence generated content (AIGC) in medicine: A narrative review]

Robotics & Machine Learning Daily News2024,Issue(Feb.13) :86-87.DOI:10.3934/mbe.2024073

Fudan University Reports Findings in Artificial Intelligence [Artificial intelligence generated content (AIGC) in medicine: A narrative review]

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Abstract

New research on Artificial Intelligence is the subject of a report. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Recently, artificial intelligence generated content (AIGC) has been receiving increased attention and is growing exponentially. AIGC is generated based on the intentional information extracted from human-provided instructions by generative artificial intelligence (AI) models.” Our news journalists obtained a quote from the research from Fudan University, “AIGC quickly and automatically generates large amounts of high-quality content. Currently, there is a shortage of medical resources and complex medical procedures in medicine. Due to its characteristics, AIGC can help alleviate these problems. As a result, the application of AIGC in medicine has gained increased attention in recent years. Therefore, this paper provides a comprehensive review on the recent state of studies involving AIGC in medicine. First, we present an overview of AIGC. Furthermore, based on recent studies, the application of AIGC in medicine is reviewed from two aspects: medical image processing and medical text generation. The basic generative AI models, tasks, target organs, datasets and contribution of studies are considered and summarized. Finally, we also discuss the limitations and challenges faced by AIGC and propose possible solutions with relevant studies.”

Key words

Shanghai/People’s Republic of China/Asia/Artificial Intelligence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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