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Artificial Intelligence as a Diagnostic Tool for Lung Nodule Evaluation
This special issue belongs to the section “Machine Learning and Artificial Intelligence in Diagnostics“.
Special Issue Information
Dear Colleagues,
Artificial Intelligence refers to the development and simulation of human intelligence processes by computer algorithms (systems) in diagnostic medicine, biology, public health, and other life sciences. A lung (pulmonary) nodule is an abnormal growth that forms in a lung and can then become cancerous. The clinical diagnosis of lung nodules is mainly based on imaging, including chest X-ray, computed tomography (CT), positron emission tomography (PET), and magnetic resonance imaging (MRI). Nevertheless, blood tests may identify benign lung nodules. This Special Issue invites scholars to apply up-to-date Artificial Intelligence methods to detect lung nodules in pulmonary medicine, thereby improving the efficacy and accuracy of clinical decisions.
Dr. I-Shiang Tzeng
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 250 words) can be sent to the Editorial Office for assessment.
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. Diagnostics 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 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.
Keywords
- lung nodule
- pulmonary diseases
- lung scan
- artificial intelligence
- machine learning
- deep learning
- chest X-ray
- computed tomography
- positron emission tomography
- magnetic resonance imaging
- laboratory test
- diagnosis
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