LITERARY REVIEW OF ARTIFICIAL INTELLIGENCE IN OVARIAN CANCER: TRANSFORMING DIAGNOSIS, TREATMENT, AND FUTURE ADVANCEMENTS
Artificial intelligence (AI) has the potential to change the management and improve survival for women with ovarian cancer. This review looks at what is possible now and what may be possible soon in the use of AI for this difficult disease.
Increasingly women with ovarian cancer are receiving personalised therapy base on the genetic, metabolic, and systemic nature of their cancer. More and more information cause problems with the understanding of the relevance and interconnection of the data. The great strength of AI is the ability to quickly correlate information and suggest appropriate measures to address the correct therapy path.
Using AI for the diagnosis of ovarian cancer will increase the sensitivity and avoid unnecessary intervention in some cases. Increasingly AI is being used for drug research, currently existing chemical compounds can be quickly scanned to determine likely effectiveness against ovarian cancer. Any relevant research can be processed and may provide alternative therapy suggestions.
It seems likely that because of the complexity of ovarian cancer and the increasing amount of information being collected it will soon be essential to use AI as a standard of care. Caution is needed when using AI. There is increasing awareness of potential bias due to inequitable clinical trials and pre-conceived algorithms and constraints.
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