12th World Digital Pathology and AI UCGCongress

A past conference report for the 12th World Digital Pathology & AI Congress (12DIGIPATH 2024).

1. Introduction

Conference Name: 12th World Digital Pathology & AI Congress (12DIGIPATH 2024)
Date: [December 17-19, 2024]
Location: [Dubai, UAE]
Theme: Digital Pathology and Artificial Intelligence in modern healthcare, diagnostics, and research.

2. Conference Objectives

To explore the latest advancements in digital pathology.
To examine the integration of AI and machine learning in pathology.
To facilitate networking among industry leaders, researchers, and professionals.

3. Keynote Speakers & Presentations

Speaker 1: [Dr. Bahareh Arbabi, Board Certified in Cosmetic Gynecology from ABCG.] – " Comparing the Effect of Platelet-Rich Plasma (PRP) and Estrogen With Estrogen Alone on Vulvo Vaginal Atrophy (VVA) and Stress Urinary Incontinence (SUI)."
Speaker 2: [Dr. Qun Dang, President, Genuine Biotech ( China)] – "Azvudine, a Novel Nucleoside as Effective Treatment for HIV and COVID-19 Infections With Potential for Liver Cancer"
Speaker 3:[ Ms. Noskova Karina, State Budgetary Healthcare Institution named after Loginov A.S] –" The Possibilities of Stratifying Mucinous Cysts of The Pancreas Based on The Degree of Cytological Atypia on Eus Fna Material "
Speaker 4:[ Prof. Nadia Sam, Laboratory of language, cognition & Interaction, University of Blida2 Lounici-Algeria] –"Language Deficits in Amyotrophic Lateral Sclerosis"
Topic Overview: The speakers provided insights into AI-driven innovations, such as the use of deep learning algorithms for diagnostic imaging, and emerging trends in telepathology.

4. Sessions & Highlights

Discussed challenges in handling large datasets from pathology imaging and the importance of data privacy and security.

A conversation on the ethical and regulatory frameworks surrounding the deployment of AI tools in medical practices.

5. Workshops

AI Software Demonstrations: Attendees were introduced to the latest AI-based pathology software for image analysis and diagnosis.
Hands-on Training: Workshops provided opportunities for practitioners to work directly with digital pathology tools and AI systems.

6. Networking Opportunities

Exhibitions: The event featured exhibits from cutting-edge companies in digital pathology and AI technologies.
Networking Sessions: Attendees connected with peers and experts, fostering potential collaborations for research and product development.

7. Conclusion & Future Directions

Summary: The conference highlighted the rapid advancements in digital pathology and AI technologies, showing great promise for improving diagnostic accuracy and efficiency in pathology labs.
Future Outlook: Continued collaboration between AI researchers, pathologists, and medical professionals will be crucial for addressing the challenges and maximizing the potential of digital pathology in clinical practice.
Call to Action: Researchers are encouraged to stay updated with emerging technologies and to engage in collaborative research to push the boundaries of AI in pathology.