Authors: TABOURI Sarah, ZEMMOUR Amel, ZEROUAL Sarra, LARBAOUI Blaha, BENCHOUK Jesia Asma, MERBOUH Mohammed Amine,MERAD Yassine.
Artificial intelligence (AI) is rapidly developing in the field of healthcare. It is expected to play a key role in oncology, in the areas of diagnosis, treatment, but also screening and cancer research. AI has evolved from a specialized resource to a readily accessible tool for practitioners and cancer researchers. AI can thus facilitate the screening, early and accurate diagnosis of cancers. Thus, the computer analysis of medical images in particular, radiological (radiomics), or anatomo-pathological (pathomics), has shown many very interesting results for the prediction of prognosis and response of patients with cancer. Thanks to deep learning algorithms, AI can identify subtle patterns on medical images, such as X-rays, MRIs or CT scans, that are likely to escape the human eye. In terms of treatment, AI can contribute to the development of personalized treatment plans. By analyzing large datasets, which can predict tumor response to certain treatments. AI also plays a key role in patient monitoring. AI-based systems can continuously monitor patients' health status, detecting any recurrences or complications. In the field of cancer research, AI-based tools can boost research productivity in daily workflows, but they can also extract hidden information from existing data, enabling new scientific discoveries. Researchers working in traditional biological sciences can use AI-based tools through commercially available software, while those who are more inclined to computer science can develop their own AI-based software pipelines. In this article, we will provide an update on the contribution of AI in the field of oncology, the practical applications already validated and the perspectives of this tool.
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