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Special Issue "Artificial Intelligence Technology in Clinical Classification and Prediction"
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: 30 June 2023 | Viewed by 7912
Special Issue Editors
Interests: medicine; fundamental medical sciences; biostatistics and medical informatics; epidemiology; information security and reliability; computer vision; bioinformatics; artificial intelligence; computer learning and pattern recognition; image processing
Interests: liver transplantation; hepatobiliary surgery; hydatid disease; appendiceal disease; public health; epidemiological studies; biostatistical studies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
With the ever-increasing amount of available medical data, the use of artificial intelligence (AI) technology to help diagnose diseases, provide medical solutions, and improve the quality of treatment and care has become widespread. AI technology solves medical problems by analyzing large amounts of data and extracting useful, high-level information from these data with little or no human supervision. AI helps modernize procedures to ease clinicians' workload, automate medicine activities, reduce healthcare costs, quickly share data, and streamline operations, leading to improved prevention strategies, efficiency, and patient retention times, as well as faster and more accurate results.
This Special Issue welcomes original research and review articles applying AI technologies and algorithms to automate traditional healthcare systems and computer-assisted diagnosis.
Potential topics include, but are not limited to:
- Computer-assisted detection and diagnosis;
- Interpretable artificial intelligence for an improved understanding of biomedical data;
- AI for precision medicine and preventive healthcare;
- AI for disease diagnosis and treatment in bioinformatics;
- AI technologies for multiomics data;
- AI- and machine-learning-based diagnosis and treatment applications;
- Big data analytics on biomedical applications;
- Computerized clinical practice / clinical guidelines and protocols.
Prof. Dr. Cemil Colak
Prof. Dr. Sami Akbulut
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 2000 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.
- tumor classification
- cancer diagnosis
- anomaly detection
- big data processing
- data mining
- machine learning
- deep learning
- knowledge discovery process
- computer-assisted diagnosis systems