Back to all papers

Role of artificial intelligence in medical image analysis.

October 24, 2025pubmed logopapers

Authors

Wang L,Zhang S,Xu N,He Q,Zhu Y,Chang Z,Wu Y,Wang H,Qi S,Zhang L,Shi Y,Qu X,Zhou X,Song J

Affiliations (8)

  • Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China.
  • School of Health Management, China Medical University, Shenyang, Liaoning 110122, China.
  • Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China.
  • Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China.
  • Hematology Department of Shengjing Hospital, China Medical University, Shenyang, Liaoning 110004, China.
  • College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning 110016, China.
  • Department of Radiology, The Fourth Hospital of China Medical University, Shenyang, Liaoning 110032, China.
  • Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China.

Abstract

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.

Topics

Journal Article

Ready to Sharpen Your Edge?

Join hundreds of your peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.

We respect your privacy. Unsubscribe at any time.