Artificial Intelligence in Lung Diseases
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 22452
Interests: thoracic pathology (lung, pleura, and mediastinum)
Special Issues, Collections and Topics in MDPI journals
Precision medicine, more specifically artificial intelligence (AI) in the diagnosis and treatment of pulmonary diseases has evolved in important ways. The developments in thoracic imaging, thoracic pathology, and thoracic oncology are meaningful components that play a role in bringing those modalities to the bedside. Digital radiology as well as digital pathology are becoming portable specialties that, combined with advance oncological algorithms, can be used for the betterment of patients afflicted by the different thoracic diseases. Such technological advancements should not be limited to neoplastic diseases but should also include other non-neoplastic processes in which such technology is applicable. In our current practice, the team approach to disease seems to have a better impact on the clinical outcomes of patients; therefore, it is highly important that these technologies, as they advance, become part of the armamentaria of tools that all clinicians need to be familiar with, and possibly by having this team approach, the different aspects of our individual specialties will also expand.
Diagnostics is dedicating one Special Issue to the role of AI in pulmonary diseases, knowing of the technological advancement that is taking place. The goal is to bring such advancements to all individuals involved in the care of patients afflicted by the gamut of pulmonary diseases. It is our hope that you will contribute to this Special Issue whether in pathology, radiology, oncology, or pulmonary medicine.
Prof. Cesar A. Moran
Manuscript Submission Information
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