Artificial Intelligence-based Algorithms with Potential Applications in Healthcare and Prediction of Disease Evolution
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 2064
Special Issue Editor
2. Department of Computer Science, Lucerne University of Applied Sciences and Arts, CH- 6002 Luzern, Switzerland
Interests: machine learning; deep learning; neural networks; sensors; optics; oxygen sensing; mathematics
Special Issue Information
Dear Colleagues,
We invite you to submit your latest research to this Special Issue of Algorithms, entitled “Artificial Intelligence-based Algorithms with Potential Applications in Healthcare and Prediction of Disease Evolution”.
In recent years, artificial intelligence (in particular machine learning and deep learning) has revolutionized the world of healthcare in all aspects (e.g., diagnosis, prognosis, and treatment), augmenting the doctors’ knowledge and supporting them in their daily decisions. However, the application of artificial intelligence to healthcare is new and non-trivial, and many issues still need to be solved (data sharing privacy issues, interpretability and trustworthiness of models, lack of data, data sparsity, etc.). Moreover, and specifically to the proposed Special Issue, an impactful application of artificial intelligence in the healthcare domain depends heavily on the effective application of algorithms that deal with time dependence of patients’ variables and pattern identification in heterogeneous datasets(e.g., pathology dynamics, follow-up visits events prediction, marker recognition, featurization, evolution and dynamics in signals and images, etc.). This is one of the largest challenges within the field to be undertaken, and has without doubt received inadequate consideration to date.
In the present Special Issue, we are looking for inspiring approaches for based on Machine Learning and/or Deep Learning models to a wide range of clinical use-cases. We invite high-quality papers that address both theoretical and practical issues involving the development of computational models that may be even already established in other fields, but with a potential and novel impact in the healthcare sector. Potential topics include, but are not limited to: supervised approaches to estimate disease trajectories; time-to-event predictions and survival analysis; unsupervised approaches applied to study dynamical clinical patterns; pattern recognition and markers detection by Machine Learning-driven comparative analysis; personalized screening and monitoring; early diagnosis; or treatment effects over time.
Finally, I would like to thank Ms. Michela Sperti and her valuable work for assisting me with this Special Issue.
Dr. Umberto Michelucci
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.
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. Algorithms 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 1600 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
- artificial intelligence
- machine learning
- deep learning
- healthcare
- pathology dynamics
- survival analysis
- time-to-event prediction
- in silico medicine
- precision medicine
- bioengineering
- electronic health records
- biomarkers
