This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making its foray into radiology, a move that is catalysing transformational shifts in the healthcare landscape. It traces the evolution of radiology, from the initial discovery of X-rays to the application of machine learning and deep learning in modern medical image analysis. The primary…
Diagnostics Template
Write in a clean editor, then format for Diagnostics in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Diagnostics format
Diagnostics is a peer-reviewed journal published by MDPI, covering Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, COVID-19 diagnosis using AI. Over its lifetime it has published 19,323 papers, which have received 226,885 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Diagnostics 2023, 12, 45–58.
Formats any DOI in Diagnostics style. No sign-up. |
| Publishes research in | Radiomics and Machine Learning in Medical Imaging AI in cancer detection COVID-19 diagnosis using AI Dental Radiography and Imaging Advanced X-ray and CT Imaging |
| ISSN | 2075-4418 |
| Citation impact (2-yr) | 3.56 |
| h-index | 125 |
| i10-index | 6,476 |
| Article processing charge | $2,165 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Carol Davila University of Medicine and Pharmacy |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Diagnostics per year
Citation impact of Diagnostics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Diagnostics
Over the past decade, convolutional neural networks (CNN) have shown very competitive performance in medical image analysis tasks, such as disease classification, tumor segmentation, and lesion detection. CNN has great advantages in extracting local features of images. However, due to the locality of convolution operation, it cannot deal with long-range relationships well. Recently, transformers have…
Antibiotic susceptibility testing (AST) specifies effective antibiotic dosage and formulates a profile of empirical therapy for the proper management of an individual patient's health against deadly infections. Therefore, rapid diagnostic plays a pivotal role in the treatment of bacterial infection. In this article, the authors review the socio-economic burden and emergence of antibiotic resistance. An…
Manual identification of brain tumors is an error-prone and tedious process for radiologists; therefore, it is crucial to adopt an automated system. The binary classification process, such as malignant or benign is relatively trivial; whereas, the multimodal brain tumors classification (T1, T2, T1CE, and Flair) is a challenging task for radiologists. Here, we present an…
There have been tremendous advances in in vitro diagnostic (IVD) assays for coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The main IVD assays used for COVID-19 employ real-time reverse transcriptase polymerase chain reaction (RT-PCR) that takes a few hours. But the assay duration has been shortened to 45 min…