Special Issue "Artificial Intelligence Applied to Clinical Practice"
Deadline for manuscript submissions: 25 May 2024 | Viewed by 229
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This Special Issue provides a platform to delve into the scientific background and highlight the importance of AI research in clinical practice. We welcome submissions that address the challenges and opportunities in applying AI to personalized medicine, emphasizing the potential impact on patient care, treatment outcomes, and healthcare delivery. We specifically encourage investigations into transparency, explainability, and fairness of AI models in healthcare decision-making.
The primary objective of this Special Issue is to foster a comprehensive understanding of the application of AI in clinical practice within the scope of the journal. We encourage contributors to explore topics such as AI-driven predictive modeling in clinical decision-making, AI applications for personalized treatment and drug discovery, and ethical considerations surrounding the trade-offs between accuracy and interpretability. Additionally, we invite submissions that explore the legal perspective of AI decision-making, the responsible deployment of algorithms, and challenges associated with imbalanced datasets and small sample sizes in healthcare.
We invite original research articles and reviews that address the following themes (but are not limited to):
- AI-driven methods in clinical decision making:
- Treatment selection;
- Optimization of treatment plans;
- Targeted therapies.
- AI-driven diagnosis and disease detection:
- Early detection of cancer and other diseases;
- AI-assisted diagnosis in specific medical conditions;
- Computer-aided diagnostics using AI algorithms;
- AI-based screening and early intervention.
- Explainable AI in clinical practice:
- Methods for enhancing interpretability;
- Approaches for transparency and explainability in AI models.
- Challenges in healthcare AI applications:
- Handling imbalanced datasets;
- Strategies for small sample sizes in AI research;
- Overcoming bias and generalization issues in healthcare AI.
- Ethical and legal perspectives in AI-driven clinical practice:
- Ethical considerations in AI adoption;
- Legal perspectives on AI decision making and accountability;
- Ensuring patient privacy and data security in AI applications.
We look forward to receiving contributions that shed light on the transparency, explainability, and fairness of AI models in clinical practice, as well as exploring the legal and algorithmic perspectives in healthcare decision-making.
Prof. Dr. Bernard P. Veldkamp
Dr. Maryam Amir Haeri
Dr. Stephanie M. Van den Berg
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. Journal of Personalized Medicine is an international peer-reviewed open access monthly 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 2600 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.
- Artificial Intelligence (AI)
- AI for Health
- Clinical Decision Support Systems
- Explainable AI
- Personalized Healthcare