Artificial intelligence in cancer diagnosis: Opportunities and challenges

Since cancer is one of the world's top causes of death, early diagnosis is critical to improving patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer diagnosis by using machine learning algorithms to examine large volumes of data for accurate and efficient dia...

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Published inPathology, research and practice Vol. 253; p. 154996
Main Authors S Alshuhri, Mohammed, Al-Musawi, Sada Ghalib, Al-Alwany, Ameen Abdulhasan, Uinarni, Herlina, Rasulova, Irodakhon, Rodrigues, Paul, Alkhafaji, Adnan Taan, Alshanberi, Asim Muhammed, Alawadi, Ahmed Hussien, Abbas, Ali Hashim
Format Journal Article
LanguageEnglish
Published Germany 01.01.2024
Subjects
Algorithms
Artificial Intelligence
Humans
Neoplasms - diagnosis
Artificial intelligence (AI)
Diagnosis
Cancer
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Summary:Since cancer is one of the world's top causes of death, early diagnosis is critical to improving patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer diagnosis by using machine learning algorithms to examine large volumes of data for accurate and efficient diagnosis. AI has the potential to alter the way cancer is detected fundamentally. Still, it has several disadvantages, such as requiring a large amount of data, technological limitations, and ethical concerns. This overview looks at the possibilities and restrictions of AI in cancer detection, as well as current applications and possible future developments. We can better understand how to use AI to improve patient outcomes and reduce cancer mortality rates by looking at its potential for cancer detection.
Bibliography:ObjectType-Article-2
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ISSN:0344-0338
1618-0631
DOI:10.1016/j.prp.2023.154996