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Publications

Journal Article Review Epublish 1 citation

PubMed: 40075729 DOI: 10.3390/cancers17050882

A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.

Cancers (Basel) 17(5)

Authors: Serafeim-Chrysovalantis Kotoulas, Dionysios Spyratos, Konstantinos Porpodis, Kalliopi Domvri, Afroditi Boutou, Evangelos Kaimakamis, Christina Mouratidou, Ioannis Alevroudis, Vasiliki Dourliou, Kalliopi Tsakiri, Agni Sakkou, Alexandra Marneri, Elena Angeloudi, Ioanna Papagiouvanni, Anastasia Michailidou, Konstantinos Malandris, Constantinos Mourelatos, Alexandros Tsantos, Athanasia Pataka

Affiliations

  • Adult ICU, General Hospital of Thessaloniki "Ippokrateio", Konstantinoupoleos 49, 54642 Thessaloniki, Greece.
  • Pulmonary Department, Unit of thoracic Malignancies Research, General Hospital of Thessaloniki "G. Papanikolaou", Aristotle's University of Thessaloniki, Leoforos Papanikolaou Municipality of Chortiatis, 57010 Thessaloniki, Greece.
  • Pulmonary Department General, Hospital of Thessaloniki "Ippokrateio", Konstantinoupoleos 49, 54642 Thessaloniki, Greece.
  • 1st ICU, Medical Informatics Laboratory, General Hospital of Thessaloniki "G. Papanikolaou", Aristotle's University of Thessaloniki, Leoforos Papanikolaou Municipality of Chortiatis, 57010 Thessaloniki, Greece.
  • 4th Internal Medicine Department, General Hospital of Thessaloniki "Ippokrateio", Aristotle's University of Thessaloniki, Konstantinoupoleos 49, 54642 Thessaloniki, Greece.
  • 2nd Propaedeutic Internal Medicine Department, General Hospital of Thessaloniki "Ippokrateio", Aristotle's University of Thessaloniki, Konstantinoupoleos 49, 54642 Thessaloniki, Greece.
  • 2nd Internal Medicine Department, General Hospital of Thessaloniki "Ippokrateio", Aristotle's University of Thessaloniki, Konstantinoupoleos 49, 54642 Thessaloniki, Greece.
  • Biology and Genetics Laboratory, Aristotle's University of Thessaloniki, 54624 Thessaloniki, Greece.
  • Respiratory Failure Clinic and Sleep Laboratory, General Hospital of Thessaloniki "G. Papanikolaou", Aristotle's University of Thessaloniki, Leoforos Papanikolaou Municipality of Chortiatis, 57010 Thessaloniki, Greece.

Abstract

According to data from the World Health Organization (WHO), lung cancer is becoming a global epidemic. It is particularly high in the list of the leading causes of death not only in developed countries, but also worldwide; furthermore, it holds the leading place in terms of cancer-related mortality. Nevertheless, many breakthroughs have been made the last two decades regarding its management, with one of the most prominent being the implementation of artificial intelligence (AI) in various aspects of disease management. We included 473 papers in this thorough review, most of which have been published during the last 5-10 years, in order to describe these breakthroughs. In screening programs, AI is capable of not only detecting suspicious lung nodules in different imaging modalities-such as chest X-rays, computed tomography (CT), and positron emission tomography (PET) scans-but also discriminating between benign and malignant nodules as well, with success rates comparable to or even better than those of experienced radiologists. Furthermore, AI seems to be able to recognize biomarkers that appear in patients who may develop lung cancer, even years before this event. Moreover, it can also assist pathologists and cytologists in recognizing the type of lung tumor, as well as specific histologic or genetic markers that play a key role in treating the disease. Finally, in the treatment field, AI can guide in the development of personalized options for lung cancer patients, possibly improving their prognosis.

MeSH

Intelligence, Lung, Tomography, Positron-Emission Tomography, Neoplasms, Lung Neoplasms, Artificial Intelligence

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