Application of Artificial Intelligence in Medical Imaging: Current Status and Future Directions
| Title: | Application of Artificial Intelligence in Medical Imaging: Current Status and Future Directions |
|---|---|
| Authors: | Yixin Yang, Lan Ye, Zhanhui Feng |
| Source: | iRADIOLOGY, Vol 3, Iss 2, Pp 144-151 (2025) |
| Publisher Information: | Wiley, 2025. |
| Publication Year: | 2025 |
| Collection: | LCC:Medical physics. Medical radiology. Nuclear medicine |
| Subject Terms: | artificial intelligence, automation, computer vision, deep learning, medical imaging, multi‐modal image data, Medical physics. Medical radiology. Nuclear medicine, R895-920 |
| More Details: | ABSTRACT A revolution in medical diagnosis and treatment is being driven by the use of artificial intelligence (AI) in medical imaging. The diagnostic efficacy and accuracy of medical imaging are greatly enhanced by AI technologies, especially deep learning, that performs image recognition, feature extraction, and pattern analysis. Furthermore, AI has demonstrated significant promise in assessing the effects of treatments and forecasting the course of diseases. It also provides doctors with more advanced tools for managing the conditions of their patients. AI is poised to play a more significant role in medical imaging, especially in real‐time image processing and multimodal fusion. By integrating multiple forms of image data, multimodal fusion technology provides more comprehensive disease information, whereas real‐time image analysis can assist surgeons in making more precise decisions. By tailoring treatment regimens to each patient's unique needs, AI enhances both the effectiveness of treatment and the patient experience. Overall, AI in medical imaging promises a bright future, significantly enhancing diagnostic precision and therapeutic efficacy, and ultimately delivering higher‐quality medical care to patients. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2834-2879 2834-2860 |
| Relation: | https://doaj.org/toc/2834-2860; https://doaj.org/toc/2834-2879 |
| DOI: | 10.1002/ird3.70008 |
| Access URL: | https://doaj.org/article/119f356ad39b4f27a32d4ca0c8ee4cb7 |
| Accession Number: | edsdoj.119f356ad39b4f27a32d4ca0c8ee4cb7 |
| Database: | Directory of Open Access Journals |
| ISSN: | 28342879 28342860 |
|---|---|
| DOI: | 10.1002/ird3.70008 |
| Published in: | iRADIOLOGY |
| Language: | English |