Impact of artificial intelligence on the diagnosis, treatment and prognosis of endometrial cancer.
| Autor: | Butt SR; University College of Medicine and Dentistry, Lahore., Soulat A; Ziauddin Medical University., Lal PM; Ziauddin Medical University., Fakhor H; Asselin Hedelin Hospital, Yvetot, France., Patel SK; University of Albany, Albany., Ali MB; Dow University of Health Sciences., Arwani S; Medway Maritime Hospital, Kent, UK., Mohan A; Karachi Medical and Dental College, Karachi, Pakistan., Majumder K; Chittagong Medical College, Chittagong, Bangladesh., Kumar V; The Brooklyn Hospital Center, Brooklyn, NY., Tejwaney U; Valley health system, Ridgewood, NJ., Kumar S; Wayne State University, Detroit, MI. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | Annals of medicine and surgery (2012) [Ann Med Surg (Lond)] 2024 Jan 17; Vol. 86 (3), pp. 1531-1539. Date of Electronic Publication: 2024 Jan 17 (Print Publication: 2024). |
| DOI: | 10.1097/MS9.0000000000001733 |
| Abstrakt: | 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. Competing Interests: Not applicable.Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.) |
| Databáze: | MEDLINE |
| Externí odkaz: |
|