Drs Ursula A. Matulonis and Marisa R. Nucci discuss the future of AI and pathology and how genetics and genomics play a role in the diagnosis of endometrial cancer.

Relevant disclosures can be found with the episode show notes on Medscape https://www.medscape.com/ca8/p04/podcast-endometrial-cancer-s3-ep5-2026a10006if. The topics and discussions are planned, produced, and reviewed independently of advertisers. This podcast is intended only for US healthcare professionals.

Resources

Endometrial Carcinoma https://emedicine.medscape.com/article/254083-overview

WHO Classification of Tumours Online https://tumourclassification.iarc.who.int/welcome/

The Cancer Genome Atlas Program (TCGA) https://www.cancer.gov/ccg/research/genome-sequencing/tcga

TCGA Molecular Prognostic Groups of Endometrial Carcinoma: Current Knowledge and Future Perspectives https://pubmed.ncbi.nlm.nih.gov/36232987/

FIGO Staging of Endometrial Cancer: 2023 https://pubmed.ncbi.nlm.nih.gov/37337978/

The Desert Immune Phenotype in Endometrial Carcinoma: A Distinct Subgroup With Poor Prognosis and Targetable Mutations https://pubmed.ncbi.nlm.nih.gov/41967711/

Controversies in the Management of Serous Tubal Intra-Epithelial Carcinoma Lesions of the Fallopian Tube https://www.international-journal-of-gynecological-cancer.com/article/S1048-891X(25)00192-6/fulltext

Comparative Modeling of Recent and Projected Trends in the Incidence and Mortality of Uterine Cancer https://pubmed.ncbi.nlm.nih.gov/41643197/

Current Prognostic and Predictive Biomarkers for Endometrial Cancer in Clinical Practice: Recommendations/Proposal From the Italian Study Group https://pubmed.ncbi.nlm.nih.gov/35463299/

Application of Artificial Intelligence in Gynecologic Cancers: A Bibliometric Analysis https://pubmed.ncbi.nlm.nih.gov/41585300/

Uterine Leiomyosarcoma https://pubmed.ncbi.nlm.nih.gov/35173990/

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