Artificial Intelligence-Driven Radiomics in the Diagnosis and Prognosis of Cancer
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 372
Special Issue Editor
Interests: clinical trials; immersive technology in clinical skills education; clinical applications of photobiomodulation among cancer patients; non-invasive haemodynamic monitoring in transfusion medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of Artificial Intelligence (AI) and medical imaging signifies a paradigm shift in healthcare diagnostics. Traditional diagnostic methodologies, reliant on the human eye and expertise, possess inherent limitations such as inter-observer variability. AI, especially deep learning architectures like Convolutional Neural Networks (CNNs), offers a remedy. These algorithms are adept at pattern recognition, extracting intricate features from images often imperceptible to clinicians. As a result, AI-driven models have shown remarkable proficiency in tasks ranging from tumour detection in radiographs to retinal disease classification in ophthalmic images. Moreover, AI's potential extends beyond mere diagnosis. Predictive modelling, image reconstruction, and workflow optimisation are facets undergoing rapid transformation under AI's influence. However, the marriage of AI and medical imaging is not without challenges: data privacy, algorithmic transparency, and clinical integration pose pertinent questions. This Special Issue delves deep into these advancements and hurdles, providing a holistic perspective on the current state and future trajectory of AI in the medical imaging domain. It underscores the pivotal role AI is positioned to play in shaping the next frontier of diagnostic medicine.
Dr. Shara WY Lee
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- deep learning
- convolutional neural networks (CNNs)
- medical imaging
- diagnostic algorithms
- image reconstruction
- pattern recognition
- predictive modelling
- clinical integration
- tumour identification
- algorithmic transparency
- image segmentation
- diagnostic accuracy
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