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Intelligent Medicine is a peer-reviewed journal published by Elsevier, covering Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Intelligent Medicine 12 (2023) 45–58.
Formats any DOI in Intelligent Medicine style. No sign-up. |
| Publishes research in | Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging AI in cancer detection Machine Learning in Healthcare Diverse Scientific and Economic Studies |
| ISSN | 2096-9376 |
| Citation impact (2-yr) | 3.1 |
| h-index | 24 |
| i10-index | 56 |
| Total citations | 3,058 |
| Article processing charge | $1,100 |
| Open access | Yes |
| Top institutions publishing here | Chinese Academy of Medical Sciences & Peking Union Medical College |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Transformers have dominated the field of natural language processing and have recently made an impact in the area of computer vision. In the field of medical image analysis, transformers have also been successfully used in to full-stack clinical applications, including image synthesis/reconstruction, registration, segmentation, detection, and diagnosis. This paper aimed to promote awareness of the…
The current rise of artificial intelligence and machine learning has been significant. It has reduced the human workload improved quality of life significantly. This article describes the use of artificial intelligence and machine learning to augment drug discovery and development to make them more efficient and accurate. In this study, a systematic evaluation of studies…
One concern about the application of medical artificial intelligence (AI) regards the “black box” feature which can only be viewed in terms of its inputs and outputs, with no way to understand the AI's algorithm. This is problematic because patients, physicians, and even designers, do not understand why or how a treatment recommendation is produced…
Breast cancer is a widely occurring cancer in women worldwide and is related to high mortality. The objective of this review was to present several approaches to investigate the application of multiple algorithms based on machine learning (ML) approach and biosensors for early breast cancer detection. Automation is needed because biosensors and ML are needed…
Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its applications in medical imaging, especially in image reconstruction have received considerable attention in the literature in recent years. This study reviews records obtained electronically through the leading scientific databases (Magnetic Resonance…
