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Artificial Intelligence in Digital Health

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 126

Special Issue Editors


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Guest Editor
1. ALGORITMI Research Centre, University of Minho, Guimarães, Portugal
2. Instituto Politécnico de Setúbal, Setúbal, Portugal
Interests: digital health; digital accessibility; collaborative networks

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Guest Editor
NOVA School of Sciences and Technology, FCT NOVA and UNINOVA (Centre of Sciences and Technology), Caparica, Portugal
Interests: collaborative networks; cyber-physical systems; intelligent systems; systems-of-systems

E-Mail Website
Guest Editor
Department of Electrical and Comnputer Engineering, Nova School of Science and Technology, FCT NOVA Campus de Caparica, 2829-516 Caparica, Portugal
Interests: collaborative networks; information systems; cognitive systems; cyber physical systems; artificial intelligence

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) is reshaping digital health, offering new possibilities for healthcare delivery and patient outcomes. In this Special Issue of Applied Sciences, we explore the latest research and challenges at the intersection of AI and digital health.

We explore how AI is transforming healthcare, from personalized treatment strategies to remote patient monitoring, predictive analytics, and patient self-management. Contributions cover various topics:

  • AI-enabled Diagnostic Tools: Advances in AI-driven diagnostic tools encompass tools for interpreting medical images and analyzing the correlation of diverse medical data, including lab results, historical patient data, and medical images, thereby enhancing diagnostic accuracy.
  • Remote Patient Monitoring: Innovations in remote patient monitoring systems with AI capabilities for continuous health surveillance and early warning detection.
  • Predictive Analytics and Prognostic Models: Exploration of AI-driven predictive analytics for forecasting disease progression and optimizing treatment strategies.
  • Healthcare Workflow Optimization: Investigations into AI solutions for streamlining healthcare workflows and improving operational efficiency.
  • Patient Self-Management: Advances in AI-driven tools empowering patients to actively manage their health through personalized interventions, lifestyle recommendations, and treatment adherence support.
  • Ethical and Regulatory Considerations: Reflections on ethical and regulatory challenges related to AI integration in healthcare.

Original work highlighting the latest research and technical development is encouraged, but review papers and comparative studies are also welcome.

Dr. Patricia Macedo
Dr. Ana Inês Oliveira
Dr. Filipa Ferrada
Guest Editors

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. Applied Sciences 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 2400 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
  • digital health
  • user-centered
  • machine learning
  • deep learning
  • remote patient surveillance
  • person-generated health data
  • conversational agents

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Published Papers

This special issue is now open for submission.
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