Breaking Barriers: AI’s Influence on Pathology and Oncology in Resource-Scarce Medical Systems

The application of artificial intelligence to improve the access of cancer patients to high-quality medical care is one of the goals of modern medicine. Pathology constitutes the foundation of modern oncologic treatment, and its role has expanded far beyond diagnosis into predicting treatment respon...

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Vydáno v:Cancers Ročník 15; číslo 23; s. 5692
Hlavní autoři: Vigdorovits, Alon, Köteles, Maria Magdalena, Olteanu, Gheorghe-Emilian, Pop, Ovidiu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 01.12.2023
Témata:
Artificial intelligence
Automation
Biomarkers
Care and treatment
Classification
Digitization
Medical care
Medical equipment
Medical laboratories
Oncology
Pathology
Patients
Physiological apparatus
Quality management
pathology
telepathology
medical systems
cancer patients
digitalization
artificial intelligence
oncology
ISSN:2072-6694, 2072-6694
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Shrnutí:The application of artificial intelligence to improve the access of cancer patients to high-quality medical care is one of the goals of modern medicine. Pathology constitutes the foundation of modern oncologic treatment, and its role has expanded far beyond diagnosis into predicting treatment response and overall survival. However, the funding of pathology is often an afterthought in resource-scarce medical systems. The increased digitalization of pathology has paved the way towards the potential use of artificial intelligence tools for improving pathologist efficiency and extracting more information from tissues. In this review, we provide an overview of the main research directions intersecting with artificial intelligence and pathology in relation to oncology, such as tumor classification, the prediction of molecular alterations, and biomarker quantification. We then discuss examples of tools that have matured into clinical products and gained regulatory approval for clinical use. Finally, we highlight the main hurdles that stand in the way of the digitalization of pathology and the application of artificial intelligence in pathology while also discussing possible solutions.
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ISSN:2072-6694
2072-6694
DOI:10.3390/cancers15235692