AI-assisted Technology in Diabetes Care; Advancements in Diabetic Retinopathy (DR) Screening

In this engaging session, we will explore the intersection of cutting-edge AI technologies and healthcare, focusing specifically on the advancements in diabetic retinopathy (DR) screening.

Date: 4 June 2024
Time: 16:00 CET

Learning Objectives

  1. Understand the fundamentals of AI and its relevance in healthcare, specifically in the context of diabetic retinopathy (DR) screening.
  2. Recognize the advantages of AI-based screening for DR compared to traditional methods.
  3. Gain insights into the AI-Assistant Diabetic Retinopathy screening tools, with a focus on iCare, including its features and functionality.
  4. Analyze and compare AI-based DR screening methods with traditional methods, considering factors such as accuracy, efficiency, and accessibility.

These learning objectives aim to provide participants with a comprehensive understanding of AI’s role in DR screening, its benefits over traditional methods, and the specific features and effectiveness of AI-assisted tools like iCare. Additionally, the Q&A session offers an opportunity for participants to clarify any doubts and gain further insights into the topic.

Agenda

  • Welcome & Introductions (10 min)
  • Introduction to AI and its applications in healthcare and advantages of AI-based screening for DR, by Mark van Grinsven, PhD (15 min)
  • Overview of the AI-Assistant Diabetic retinopathy screening tools (specifically iCare) and comparative analysis of AI-based and traditional DR screening methods by Prof. Bartłomiej Matejko (15 min)
  • Moderated Q&A session with all panelists (15 min)
  • Closing & Final Remarks (5 min)

Faculty

Bartłomiej Matejko
Bartłomiej Matejko, Associate Professor, Biomedical Engineer, Centre for Advanced Technologies in Diabetes, Jagiellonian University Medical College

Prof. Matejko excels in the daily capture and analysis of fundus photographs from diabetic patients, a critical component of monitoring and managing diabetic retinopathy. He was a primary fundus photographer of the Cracow team in the ePREDICE randomized trial. He has an extensive publication record of approximately 80 papers (Impact factor 168). His work is primarily centered on enhancing continuous subcutaneous insulin infusion therapy in adults with type 1 diabetes mellitus. By identifying key clinical and behavioral factors that enhance the efficacy and safety of insulin pump therapy, he has made significant contributions to advancing therapeutic outcomes for patients.

Mark van Grinsven
Mark van Grinsven, PhD medical image analysis, Managing Director, Thirona Retina

Mark van Grinsven has studied biomedical engineering after which he obtained a PhD in the field of artificial intelligence at the Radboud University Medical Center Nijmegen, the Netherlands. His thesis was titled “Automated analysis of retinal images for detection of age-related macular degeneration and diabetic retinopathy”. After graduation, he joined Thirona and started the retinal image analysis division within Thirona. Within Thirona he lead the development of a CE certified software solution called RetCAD, intended for the analysis of retinal images. Early 2023, the retinal image analysis division was spun off into a separate company “Thirona Retina”, which he is currently leading as Managing Director.

Amit Kumar Dey
Dr. Amit Kumar Dey,

Dr. Amit Kumar Dey is a distinguished Consultant Physician specializing in Diabetology, Obesity, and Metabolic Disorders, based in Kolkata, West Bengal, India. With over 12 years of extensive clinical practice, Dr. Dey has emerged as a leading expert in his field, with Diabetology being his primary subspecialty. His dedication and excellence in patient care and awareness have been recognized through several prestigious awards. Notable among them are the Diabetes Awareness Initiative Award at Diabetes India 2020 and the Voluntary Faculty of the Year Award by the IMACP India Chapter in 2022. Additionally, his groundbreaking contributions to improving diabetes care through technological innovation earned him the esteemed JPEF2023 Award.

This activity is supported by an educational grant from iCare.