Impact of artificial intelligence on the diagnosis, treatment and prognosis of endometrial cancer

Author:

Butt Samia Rauf1,Soulat Amna2,Lal Priyanka Mohan2,Fakhor Hajar3,Patel Siddharth Kumar4,Ali Mashal Binte5,Arwani Suneel6,Mohan Anmol7,Majumder Koushik8,Kumar Vikash9,Tejwaney Usha10,Kumar Sarwan11

Affiliation:

1. University College of Medicine and Dentistry, Lahore

2. Ziauddin Medical University

3. Asselin Hedelin Hospital, Yvetot, France

4. University of Albany, Albany

5. Dow University of Health Sciences

6. Medway Maritime Hospital, Kent, UK

7. Karachi Medical and Dental College, Karachi, Pakistan

8. Chittagong Medical College, Chittagong, Bangladesh

9. The Brooklyn Hospital Center, Brooklyn, NY

10. Valley health system, Ridgewood, NJ

11. Wayne State University, Detroit, MI

Abstract

Endometrial cancer is one of the most prevalent tumours in females and holds an 83% survival rate within 5 years of diagnosis. Hypoestrogenism is a major risk factor for the development of endometrial carcinoma (EC) therefore two major types are derived, type 1 being oestrogen-dependent and type 2 being oestrogen independent. Surgery, chemotherapeutic drugs, and radiation therapy are only a few of the treatment options for EC. Treatment of gynaecologic malignancies greatly depends on diagnosis or prognostic prediction. Diagnostic imaging data and clinical course prediction are the two core pillars of artificial intelligence (AI) applications. One of the most popular imaging techniques for spotting preoperative endometrial cancer is MRI, although this technique can only produce qualitative data. When used to classify patients, AI improves the effectiveness of visual feature extraction. In general, AI has the potential to enhance the precision and effectiveness of endometrial cancer diagnosis and therapy. This review aims to highlight the current status of applications of AI in endometrial cancer and provide a comprehensive understanding of how recent advancements in AI have assisted clinicians in making better diagnosis and improving prognosis of endometrial cancer. Still, additional study is required to comprehend its strengths and limits fully.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference67 articles.

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3. Type i and II endometrial cancers: have they different risk factors?;Setiawan;J Clin Oncol,2013

4. Type II endometrial cancers: a case series;Thomas;J Midlife Health,2016

5. endometrial tumor classification by histomorphology and biomarkers in the nurses’ health study;Watkins;J Cancer Epidemiol,2021

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