AI-Empowered Lung Disease Classification and Detection: Advances and Challenges
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 2196
Special Issue Editor
Interests: wireless communications; machine learning; online learning; 5G, B5G, and 6G systems; image processing; millimeter waves; RIS systems; the Internet of things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Lung diseases, such as lung cancer, COVID-19, chronic obstructive pulmonary disease (COPD), and pneumonia, are among the leading causes of death worldwide. Early detection and accurate classification of lung diseases are crucial for timely and effective treatment. Artificial intelligence (AI) has shown great potential in the field of medical imaging and diagnostics, particularly in the detection and classification of lung diseases. However, there are still many challenges that need to be addressed to fully realize the potential of AI in this field. The main objectives of this Special Issue are to: review the latest advances in AI-empowered lung disease classification and detection, including deep learning, machine learning, and computer vision techniques; identify the main challenges and limitations in the field and discuss potential solutions; provide a comprehensive overview of the current state of the art in AI-empowered lung disease classification and detection; and discuss the ethical and regulatory issues related to the use of AI in medical imaging and diagnostics. Hence, this Special Issue aims to provide a comprehensive overview of the current state of the art in AI-empowered lung disease classification and detection and to discuss the challenges and limitations in the field. By bringing together experts from various fields, including computer science, medical imaging, and medicine, we hope to foster new collaborations and accelerate the development of AI-based diagnostic tools for lung diseases.
Dr. Sherief Hashima
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.
Keywords
- AI
- deep learning
- lung disease
- COVID-19
- COPD
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.