AI-Driven Healthcare: Transforming Patient Care and Outcomes

Dear Colleagues,

The emergence of Artificial Intelligence (AI) in healthcare is offering transformative solutions to improve patient care and enhance the efficiency and effectiveness of the healthcare system. With a worldwide shortage of healthcare professionals, ageing populations (especially in the developed world), and high prevalence of non-communicable diseases, AI in Healthcare has great potential in restructuring the way we approach patient care, disease management decisions, and resource utilization. AI-based approaches such as machine learning and deep learning are being used for clinical decision support, chronic disease risk prediction, disease prognosis, personalized medicine, and image analysis. Chatbots and AI scribe using Natural Language Processing, a branch of AI, have shown usefulness in automation of routine clinical tasks, such as triage, patient education, automation of clinical documentation, pre-authorization, and clinical trial matching. While AI in healthcare offers great potential in transforming and improving patient care and outcomes, the related challenges, such as data privacy and disparity, digital equity, and replacement of human judgment by AI, must be addressed to ensure safe and ethical use of AI.

We are pleased to invite researchers as well as clinicians to submit original articles and reviews to highlight the advancement, possibilities, complexities, and challenges that AI offers in improving patient care and outcomes.

This Special Issue aim to explore transformative role of AI in healthcare. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

• AI assisted clinical decision support
• AI enhanced remote patient monitoring
• AI and ML for early disease detection and prognosis
• Digital Therapeutics
• Digital Twins for personalized medicine
• Real-time AI-based diagnostic tools for clinical used and home healthcare
• AI and telemedicine
• NLP approaches, including use of LLMs, for automation of routine clinical tasks and clinical decision support. 
• Chatbots and LLMs for patient education, disease self-management and patient interaction systems.
• Patient outcome evaluation of AI based systems
• Metanalysis, systematic reviews and scoping reviews of existing research on use of AI in healthcare
• Secure and privacy-compliant architectures for AI in healthcare
• Domains of digital equity for use of AI in healthcare
• Legal, ethical and regulatory frameworks for AI in healthcare

I/We look forward to receiving your contributions.

Prof. Dr. Samina Abidi
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare 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 2700 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.