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AI Half-Day Forum

Digital health transformation in progress

Artificial intelligence and HPV related diseases

Thursday, March 14, 2024 • 14.00 - 18.00

Coordinator:
 J. Monsonego (France)

Welcome to the Multidisciplinary Forum on the Multifaceted Applications of AI in precancerous and cancerous pathologies of the cervical, anal, and oropharyngeal regions linked to HPV!

We are delighted to have you join this enlightening discussion, where we'll delve into the world of AI's diverse roles in screening, prediction, diagnostic support, and management of HPV-related precancerous and cancerous conditions. Let's explore the incredible potential of artificial intelligence in improving healthcare outcomes and shaping the future of cervical, anal, and oropharyngeal cancer management. Your insights and contributions are essential in this endeavour.

CONGRESS PROGRAM CONGRESS PROGRAM

14.00 - 14.40

Part 1 - Artificial intelligence in health care

Chair: E. Franco (Canada)

Invited Talk
AI in health care: general considerations
Digital imaging and AI: state of the art and road

N. Grabe (Germany)

Discussion

S. De Sanjosé (Spain)

14.40 - 16.00

Part 2A - AI and HPV related neoplasia -
Prediction models, experiences and perspectives

Chair: N. Wentzensen (USA)

I. Clinical implementation of AI-based solutions for cervical screening and management: opportunities and challenges

S. De Sanjosé (Spain)

II-1. Cervical screening

Self sampling and role of molecular markers

J. S. Smith (USA) •
C. Meijer (Netherlands)

Development and evaluation of Automated Visual Evaluation in LMIC

D. Egemen (USA)

II-2. AI solutions for triage and colposcopy

Colposcopy: enhancing image recognition of HG CIN

S. A. Madathil (Canada) •
J. Monsonego (France)

Automated detection of dual stain for triage of HPV-positives

N. Wentzensen (USA)

16.00 - 16.30

Coffee Break

16.30 - 17.15

Part 2B - AI and HPV related neoplasia -
Prediction models, experiences and perspectives

Chair: N. Wentzensen (USA)

II-3. Anus

Detection of anal HSIL - Practical issues for AI solutions

L. Zhang (Australia)

II-4. Head and neck

Uncertainty quantification of AI-based prediction model and potential for clinical decision making

S. A. Madathil (Canada)

III. Conclusion
Moderators: E. Franco (Canada) • S. De Sanjosé (Spain) • N. Wentzensen (USA) • J. Monsonego (France)

  • Recapitulation of key points discussed in the presentation
  • Emphasis on the potential role of artificial intelligence as a valuable complementary tool to improve the screening, diagnosis and treatment of cervical conditions
  • Encouragement for collaboration between AI experts and healthcare professionals to foster the adoption and development of AI-based solutions in cervical pathology

17.15 - 18.00

Part 3 - Free communications (submitted papers)

Chair: S. Madathil (Canada)

Moving towards more personalised cervical cancer screening: determining differences in the risk of CIN2+ by age and HPV-type in Norway

A. Thorsplass (Norway)

Machine learning model for cervical cancer risk prediction

A. Garcia Serrano (Sweden)

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 older HPV-positive women in cervical cancer screening - a cross sectional study

L. W. Gustafson (Denmark)

Risk stratified management of cervical high-grade squamous intraepithelial lesions based on machine learning

L. Zhang (China)

Cervix guide - a new artificial intelligence tool

A. Pacheco (Portugal)

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