Publication Name	Artificial Intelligence in Cancer
Manuscript ID	124688
DOI	10.35713/aic.124688
Country	Lebanon

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Minireviews
Article Title	Artificial intelligence in endometrial and cervical cancer: From ultrasound-based detection to digital pathology and prognostic modeling
Manuscript Source	Invited Manuscript
All Author List	Mohamad Tlais, Ibrahim Dhainy, Razan Moghnieh, Mohamad El Houchaimi, Rawad Hakim, Daniel Mhanna, Bilal Halabi, Raghad Flity, Pia Salloum, Sabine Sleiman, Wissam Abou Ali and Issam Fassih
Funding Agency and Grant Number
Corresponding Author	Mohamad Tlais, MD, Department of Urology, University of Balamand, Hazmieh, Beirut 1100, Beyrouth, Lebanon. mmtlaiss22@gmail.com
Key Words	Endometrial neoplasms; Uterine cervical neoplasms; Artificial intelligence; Deep learning; Diagnostic imaging
Core Tip	Artificial intelligence has progressed from single-task ultrasound and cytology classifiers to multimodal models that predict the molecular classification of endometrial cancer directly from haematoxylin-and-eosin slides and integrate imaging, pathology and genomics for prognosis. The decisive barriers are no longer algorithmic performance but external validation, prospective trials, regulatory clearance and demonstrable equity across diverse populations.
Citation	Tlais M, Dhainy I, Moghnieh R, El Houchaimi M, Hakim R, Mhanna D, Halabi B, Flity R, Salloum P, Sleiman S, Abou Ali W, Fassih I. Artificial intelligence in endometrial and cervical cancer: From ultrasound-based detection to digital pathology and prognostic modeling. Artif Intell Cancer 2026; In press DOI: https://doi.org/10.35713/aic.124688
PDF	124688-in-press.pdf

Received	2026-06-23 03:22
Peer-Review Started	2026-06-23 03:23
First Decision by Editorial Office Director
Return for Revision	2026-07-22 06:40
Revised	2026-07-29 21:07
Publication Fee Transferred
Second Decision by Editor	2026-09-03 02:51
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-04 10:20
Articles in Press	2026-09-04 10:20
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3228 (online)
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