Advances in Nutritional Screening, Diagnosis, and Therapy with Smart Technologies and AI
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition Methodology & Assessment".
Deadline for manuscript submissions: 25 March 2026 | Viewed by 25
Special Issue Editor
Interests: pediatric surgery; enteral nutrition; oncology; digestive surgery; malnutrition; clinical nutrition; prognostic nutritional index: perioperative nutrition; enhanced recovery after surgery
Special Issue Information
Dear Colleagues,
The impact of artificial intelligence (AI) applications on daily life continues to grow rapidly and significantly. The medical industry is not untouched by this advancement and has harnessed AI to help in understanding complex biological phenomena, diagnose diseases, predict clinical outcomes, and design novel therapies. The availability of mobile and smart devices presents an opportunity for more personalized real-time data collection, synthesis, analysis, and feedback from the consumer level to the business level. This technology offers the possibility to optimize clinical nutrition, where real-time information on dietary intake, interpreting diets in the context of the person and their health, and generating practical feedback are all possible. AI will allow for personalized nutrition—from the design of parenteral nutrition in a more agile and precise manner, to the selection of optimal formulas for each patient at each moment. The implementation of AI in screening and diagnosis will enable early detection, minimize diagnostic losses, and reduce the time required for diagnosis, allowing for immediate nutritional intervention. The ethical and legal considerations of using AI in clinical nutrition are complex. The quality of the conclusions drawn by AI requires processes designed to mitigate potential ethical issues. This Special Issue welcomes submissions of original research articles and review articles exploring advances in smart technologies and artificial intelligence for nutritional screening, diagnosis, and treatment, as well as clinical nutritional interventions.
Prof. Dr. Adolfo Bautista-Casasnovas
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.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 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
- enteral nutrition
- artificial intelligence
- machine learning
- nutritional support
- pediatric nutrition
- clinical nutrition
- deep learning
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