Finetuning MedGemma with Multimodal Clinical (...) - Megan Coffee, Twishaa Sahay & Aneesh Mokashi скачать в хорошем качестве

Finetuning MedGemma with Multimodal Clinical (...) - Megan Coffee, Twishaa Sahay & Aneesh Mokashi

Lecture: Abstract #2 Finetuning MedGemma with Multimodal Clinical Data and QLoRA for Skin Lesion Detection Speaker: Megan Coffee, Twishaa Sahay & Aneesh Mokashi Affiliation: New York University Grossman School of Medicine / Tandon School of Engineering, United States Presented at the 2nd Artificial Intelligence in Infectious Diseases Workshop 2025 Subscribe to our newsletter: https://amededu.activehosted.com/f/13 For more information, visit: https://academicmedicaleducation.com/... Upcoming meetings: https://academicmedicaleducation.com/... About the workshop: This international workshop is a novel initiative designed to foster collaboration between healthcare professionals and the artificial intelligence (AI) technology sector. It aims to bridge the gap between cutting-edge AI advancements and practical clinical applications, encouraging clinicians to step into the digital age and embrace AI to propel medicine into the future. By facilitating the exchange of knowledge through abstract and application "pitch" submissions, the workshop provides a unique platform for providers to quickly understand and adapt to the latest developments. This dynamic platform will kick-start a lasting partnership between infectious disease medicine and AI technology, ultimately enhancing patient care and improving clinical outcomes. The workshop focuses on the effective use of AI in managing infectious diseases. Given the rapid advancements in AI and its profound current and potential impact on healthcare, the workshop is designed to be a space where researchers and medical professionals can discuss and collaborate on translating research findings into clinical practice. Additionally, the event aims to address the associated risks and opportunities of implementing AI in infectious disease management, ensuring a comprehensive understanding of the technology's potential and its challenges. By emphasizing human-machine teaming, the workshop seeks to augment the practice style of clinicians, not replace their clinical decision-making. This revolutionary workshop aims to accelerate research, improve clinical care, and build lasting collaborations. It will not only advance the integration of AI into infectious disease medicine but also pave the way for future innovations in patient care. By bringing together experts from both the AI and medical fields, the workshop will serve as a catalyst for breakthroughs that can transform the landscape of healthcare, making it more efficient, effective, and responsive to emerging challenges.