Artificial Intelligence Applications in Healthcare and Precision Medicine, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 194
Special Issue Editors
Interests: physics applied to medicine; radiomics; computer-assisted detection/diagnosis; machine/deep learning; artificial neural networks; artificial intelligence; omics sciences; precision medicine
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence in medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As a result of its rapid expansion, artificial intelligence (AI) is becoming a powerful tool serving numerous fields, including medicine. Its applications range from diagnostics to surgery, from drug development to rehabilitation, and from remote monitoring to patient assistance, continuing to grow exponentially.
Indeed, artificial intelligence in the medical field is now conceived as an aid to modern medicine. It is precisely in this scenario that technological tools and software used in the medical field are undergoing radical changes, with strong innovations to enable progressively early advanced diagnoses, increasingly personalized therapies, and to improve patients’ experience in general.
In the era of big data and omics sciences, global healthcare is in fact trying to move beyond the historical "one-size-fits-all" medical approach to embrace an increasingly personalized approach uniquely designed specifically for the patient, adopting each person's individual differences in genotype, environment, and lifestyle.
In recent years, there have been particularly tremendous advances in the applications of AI in a variety of omics studies, including genomics, transcriptomics, proteomics, metabolomics, radiomics, etc., and all multi-omics integration approaches. It is therefore highly timely to discuss the potential impact of the insights generated by new machine learning (ML) and deep learning (DL) technologies on medical support, clinical decisions, clinical research, the pharmaceutical industry, and the entire patient pathway, which seeks to be as personalized as possible.
From another perspective, large language models (LLMs), based on DL and trained on huge amounts of text data, allow for the generation of new information close to human responses, with the goal of producing virtual assistants and chatbots that provide personalized patient support, answer medical queries, schedule appointments, and offer basic triage services.
The goal of this Special Issue is therefore to collate articles highlighting the new opportunities, challenges, and perspectives of AI tools within precision medicine.
Both theoretical and experimental and case studies are welcome.
Dr. Giorgio De Nunzio
Dr. Luana Conte
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- deep learning
- omic sciences
- precision medicine
- personalized medicine
- genomics
- proteomics
- metabolomics
- radiomics
- radiogenomics
- robotic surgery
- assisting technologies
- health monitoring
- computer-assisted detection/diagnosis
- chatbots
- medical imaging
- disease prediction
- prognostics
- drug discovery
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