AI, the way forward

LITERARY REVIEW OF ARTIFICIAL INTELLIGENCE IN OVARIAN CANCER: TRANSFORMING DIAGNOSIS, TREATMENT, AND FUTURE ADVANCEMENTS

https://tinyurl.com/yc85bx44

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.

Suspicions confirmed

Differences in cancer rates among adults born between 1920 and 1990 in the USA: an analysis of population-based cancer registry data

https://tinyurl.com/wzaxy5w5

Anecdotal experience has suggested that cancer is becoming more common for younger patients. This suggests that lifestyle changes and environmental effects are causing more cancer. Using data from population-based cancer registry this study looks at the increase in cancer risk for younger cohorts.

Information is available from this huge study with data from more than 23 million patients, of whom more than 7 million developed cancers. Comparing cancer rates from 5-year birth cohorts showed that for 9 of the 34 different cancers included in the study there was an increase for patients born in the 1990 cohort compared to the 1955 cohort. The mortality has decreased, with better treatment options.

Some cancers notably smoking affected cancers such as lung cancer, show a decrease due to changed lifestyle. Ovarian cancer also is less, probably due to medical intervention with hormonal contraception.

Understanding of these changes suggest a need for modification of lifestyle and environmental factors with more research into underlying causes.