Dr. Giovanni Cacciamani - Bridge AI for Understandable Medical Information | Testicular Cancer Conference 2024 presented by Fennec Pharmaceuticals

Dr. Giovanni Cacciamani - Bridge AI for Understandable Medical Information | Testicular Cancer Conference 2024 presented by Fennec Pharmaceuticals

At the 2024 Testicular Cancer Conference presented by Fennec Pharmaceuticals, Dr. Giovanni Cacciamani, a urologist and associate professor at Keck School of Medicine of University of Southern California, discussed leveraging artificial intelligence (AI) to make medical information more accessible and understandable for patients. He highlighted the challenge that patients often face: certified medical literature is typically too technical for laypeople, while easily readable online content may be unreliable or misleading.

To address this, Dr. Cacciamani's team developed an AI pipeline that uses generative models to convert complex medical abstracts into readable, layperson summaries. Their research found that existing patient education materials and lay summaries frequently fail to meet minimum readability standards. In contrast, their AI-generated summaries are more understandable and can be translated into multiple languages and audio formats.

They are conducting the Bridge Study, partnering with various cancer foundations, including the Testicular Cancer Awareness Foundation, to evaluate the effectiveness of these AI-generated summaries among patients with testicular cancer. Participants will compare original abstracts with AI-generated summaries to assess understandability, preference, and the time taken to comprehend the information.

The ultimate goal is to standardize the inclusion of layperson summaries in scientific publications and databases like PubMed, ensuring patients have access to reliable and comprehensible medical information. Dr. Cacciamani emphasized that improving patient understanding empowers individuals, enhances trust in healthcare, and promotes equity and inclusiveness.

Key Insights:

Accessibility Gap: There's a significant gap between the readability of certified medical information and the reliability of easily readable online content.

AI Solution: Generative AI can effectively translate complex medical texts into understandable summaries without compromising accuracy.

Patient Empowerment: Accessible information enables patients to make informed decisions and fosters better patient-physician communication.

Healthcare Improvement: AI can reduce physicians' workload by handling routine information dissemination, allowing more time for patient interaction.

Future Integration: The integration of AI-generated layperson summaries into standard medical publications could become a new norm, promoting widespread accessibility of medical knowledge.

The slides from Dr. Cacciamani’s presentation can be downloaded here. Some animated functionalities in the presentation will not be available in the PDF.