Artificial Intelligence Revolution in Chronic Inflammatory Diseases: Diagnosis, Prognosis, and Future Perspectives
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: 31 August 2024 | Viewed by 98
Special Issue Editors
Interests: skin; basal cell carcinoma; squamous cell carcinoma; dermatology imaging; photodynamic therapy (PDT); phototherapy; skin cancer; biopsy
Special Issues, Collections and Topics in MDPI journals
Interests: mediators of inflammation, cytokines, and biomarkers of oxidative stress; immunosenescence; immunogenetics; epigenetics; application of machine learning and deep learning in various fields of medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Chronic inflammatory diseases represent a significant global health challenge, requiring innovative approaches to improve diagnosis, prognosis and personalized therapeutic strategies for each patient. In this context, artificial intelligence (Al) represents an important recent resource in reshaping our understanding and management of chronic inflammatory diseases, both cutaneous and systemic. The proposed collection of articles will delve into the latest advances in the applications of Al for an early and accurate diagnosis of these diseases in order to guarantee timely therapeutic interventions. Al-based prognostic models, which integrate multiple data sources, will be studied for their potential to predict disease progression, and personalize treatment plans. Furthermore, the goal of this Special Issue is to address the evolving landscape of Al in chronic inflammatory diseases, offering insights into the ethical considerations, challenges, and regulatory aspects associated with the implementation of Al technologies in clinical practice. Authors will be encouraged to present new Al-based solutions, discuss real-world applications, and explore the integration of Al with other technologies, such as genomics and precision medicine.
Dr. Francesco Borgia
Prof. Dr. Sebastiano Gangemi
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- chronic inflammatory diseases
- inflammation
