New Advances in Chest Imaging

Dear Colleagues,

Chest imaging is based on several techniques, ranging from simple chest X-ray to more sophisticated scanners, such as positron emission tomography combined with computed tomography (PET-CT) or magnetic resonance imaging (MRI). It is nowadays fundamental for the evaluation of chest pathologies, and more precise imaging biomarkers are required to steer treatment strategies. This Special Issue of Diagnostics aims to collect new advances in chest imaging that could be applied mainly (but not only) to lung cancer and interstitial lung diseases (ILDs). This issue will include a range of topics including the diagnosis, prognosis, and follow-up of chest pathologies, with particular interest in software and artificial intelligence (AI) applications. We welcome all article types that are eligible for publication in Diagnostics, including original research manuscripts, reviews, reports, and protocols. The objective is to promote the application of machine learning advances, helping radiologists, surgeons, and clinicians to achieve the best patient outcomes. We hope that this Special Issue will promote the use of software and AI in daily practice to enhance more individualized patient management and reduce the time and costs of radiological procedures. We look forward to publishing new insightful developments in chest imaging.

Dr. Davide Colombi
Guest Editor

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