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The 10th Anniversary of Healthcare—Artificial Intelligence in Medicine
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The 10th Anniversary of Healthcare—Artificial Intelligence in Medicine

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2361

Special Issue Editor

Prof. Dr. Tin-Chih Toly Chen

E-Mail Website
Guest Editor
Department of Industrial Engineering and Management, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan
Interests: ambient intelligence; ergonomics; cloud and virtual manufacturing; applied soft computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In 2023, we will celebrate the 10th anniversary volume of the journal Healthcare (IF 3.160), and we would be thrilled if you could join us on this wonderful occasion.

Healthcare is an international, scientific, peer-reviewed, open-access journal on healthcare systems, industry, technology, policy, and regulation, and it is published semimonthly online by MDPI, Basel, Switzerland. The impact factor for this journal is 3.160, and it ranks Q2 in /Health Care Sciences & Services/ and /Health Policy & Services/. Healthcare is undoubtedly a rapidly developing journal.

In recognition of this significant milestone, we are launching a Special Issue entitled “The 10th Anniversary of Healthcare—Artificial Intelligence in Medicine”. This Special Issue will include high-quality papers on topics within the broad scope of Healthcare. We will consider manuscripts that investigate artificial intelligence technologies that are extensively applied in the medical field, such as in disease diagnosis, classification and prediction, health monitoring, clinical decision support, medical data analysis, hospital scheduling, and 3D printing. It is our pleasure to invite you to contribute an original research paper or a comprehensive review article for peer review and possible publication in Healthcare.

Prof. Dr. Tin-Chih Toly Chen
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. 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.

Published Papers (2 papers)

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Review

14 pages, 477 KiB  
Review
Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping
by Javier Amo-Salas, Alicia Olivares-Gil, Álvaro García-Bustillo, David García-García, Álvar Arnaiz-González and Esther Cubo
Healthcare 2024, 12(4), 439; https://0-doi-org.brum.beds.ac.uk/10.3390/healthcare12040439 - 08 Feb 2024
Viewed by 828
Abstract
Parkinson’s disease (PD) is a progressive neurodegenerative disorder whose prevalence has steadily been rising over the years. Specialist neurologists across the world assess and diagnose patients with PD, although the diagnostic process is time-consuming and various symptoms take years to appear, which means [...] Read more.
Parkinson’s disease (PD) is a progressive neurodegenerative disorder whose prevalence has steadily been rising over the years. Specialist neurologists across the world assess and diagnose patients with PD, although the diagnostic process is time-consuming and various symptoms take years to appear, which means that the diagnosis is prone to human error. The partial automatization of PD assessment and diagnosis through computational processes has therefore been considered for some time. One well-known tool for PD assessment is finger tapping (FT), which can now be assessed through computer vision (CV). Artificial intelligence and related advances over recent decades, more specifically in the area of CV, have made it possible to develop computer systems that can help specialists assess and diagnose PD. The aim of this study is to review some advances related to CV techniques and FT so as to offer insight into future research lines that technological advances are now opening up. Full article
(This article belongs to the Special Issue The 10th Anniversary of Healthcare—Artificial Intelligence in Medicine)
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16 pages, 1773 KiB  
Review
The Role of Artificial Intelligence in Anterior Cruciate Ligament Injuries: Current Concepts and Future Perspectives
by Luca Andriollo, Aurelio Picchi, Rudy Sangaletti, Loris Perticarini, Stefano Marco Paolo Rossi, Giandomenico Logroscino and Francesco Benazzo
Healthcare 2024, 12(3), 300; https://0-doi-org.brum.beds.ac.uk/10.3390/healthcare12030300 - 24 Jan 2024
Viewed by 1131
Abstract
The remarkable progress in data aggregation and deep learning algorithms has positioned artificial intelligence (AI) and machine learning (ML) to revolutionize the field of medicine. AI is becoming more and more prevalent in the healthcare sector, and its impact on orthopedic surgery is [...] Read more.
The remarkable progress in data aggregation and deep learning algorithms has positioned artificial intelligence (AI) and machine learning (ML) to revolutionize the field of medicine. AI is becoming more and more prevalent in the healthcare sector, and its impact on orthopedic surgery is already evident in several fields. This review aims to examine the literature that explores the comprehensive clinical relevance of AI-based tools utilized before, during, and after anterior cruciate ligament (ACL) reconstruction. The review focuses on current clinical applications and future prospects in preoperative management, encompassing risk prediction and diagnostics; intraoperative tools, specifically navigation, identifying complex anatomic landmarks during surgery; and postoperative applications in terms of postoperative care and rehabilitation. Additionally, AI tools in educational and training settings are presented. Orthopedic surgeons are showing a growing interest in AI, as evidenced by the applications discussed in this review, particularly those related to ACL injury. The exponential increase in studies on AI tools applicable to the management of ACL tears promises a significant future impact in its clinical application, with growing attention from orthopedic surgeons. Full article
(This article belongs to the Special Issue The 10th Anniversary of Healthcare—Artificial Intelligence in Medicine)
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