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Artificial Intelligence Forum

Artificial Intelligence in HPV-Related Precancers and Cancers

Leveraging artificial intelligence in screening and management
of HPV-related precancers and cancers

Monday, March 17 | 8.00 • 12.30

Honorary Chairs:
E. Franco (Canada) • J. Monsonego (France)

Moderators:
N. Wentzensen (US) • S. Madathil (Canada)

Join us for an insightful session on Artificial Intelligence in HPV-Related Precancers and Cancers, where we explore the growing role of AI in transforming cancer screening, diagnosis, and management.

This session will cover the latest AI technologies in cervical cancer screening, trustworthy AI in clinical practice, and machine learning models for predicting HPV-driven cancer progression. Experts will share real-world applications, discuss challenges, and highlight AI-enhanced tools like colposcopy. Engage in dynamic discussions on AI’s future in healthcare and collaborative opportunities. Don’t miss this opportunity to understand how AI is reshaping the landscape of oncology.

FINAL CONGRESS PROGRAM FINAL CONGRESS PROGRAM
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8.00 - 10.15

Part 1

Opening Introduction to AI in oncology

N. R. Rydzewski (US)

AI in cervical cancer screening: Current advances and future directions

P. Basu (France)

AI-enhanced colposcopy: Improving prediction and diagnostic accuracy

S. Madathil (Canada)

Developing robust and reliable AI algorithms for clinical applications: The example of Cytoreader

N. Grabe (Germany)

How to move AI-based tests into clinical practice

N. Wentzensen (US)

AI regulation in healthcare within the European Union

J. Schmidt (Germany)

Panel discussion and closing remarks: the future of AI in HPV-related disease management

10.15 - 10.45

Coffee Break

10.45 - 12.30

Part II - Free communications

Artificial intelligence as a potential tool to boost cervical cancer screening programs using individualized risk prediction

A. Garcia-Serrano (Sweden)

A prediction model for high-grade cervical lesions using machine learning in Swedish women

Y. Deng (Sweden)

New method for hrHPV screening using the deepFM-RF model: a multicenter, multi-ethnic validation study

Z. Hu (China)

Deep learning and HPV pleomorphic multiorgan induced lesions: automated detection and differentiation of cervical and anal squamous cancers precursors – a multicentric study

M. Mascarenhas (Portugal)

Automated evaluation of p16/ki67 dual stain cytology as an artificial intelligence-based biomarker for detection of cervical intraepithelial neoplasia of grade 2 or worse in HPV-positive women in cervical cancer screening

L. W. Gustafson (Germany)

The IMP diagnostics Roadmap to Implement the Genius™ digital diagnostics system in real-life clinical practice

D. Montezuma (Portugal)

Effect of an artificial intelligence-guided colposcopy for detection of cervical precancer and cancer: A multicentre, randomized, crossover trial

P. Xue (China)

Large language models in cervical cancer control education: Comparing ChatGPT and Baichuan4 to human-generated multiple choice questions

J. Ma (China)

Artificial intelligence based screening by colposcopy: an image catalogue to build machine learning algorithms for female genital schistosomiasis and gynaecological disorders

D. Fusco (Germany)

County-level HPV vaccination rates: Analysis of 10 million publicly-insured US adolescents

K. Sonawane (US)

Register today

Don't miss out on the the world’s leading international congress on HPV infection and associated cancers. See you in Porto, March 16-19, 2025

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