{"type":"ScholarlyArticle","title":"Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities","authors":[{"name":"Grigorii Khvatskii","slug":"grigorii-khvatskii","given":"Grigorii","family":"Khvatskii","affiliation":""},{"name":"Angelica Garcia Martinez","slug":"angelica-garcia-martinez","given":"Angelica","family":"Garcia Martinez","affiliation":""},{"name":"Deng Pan","slug":"deng-pan","given":"Deng","family":"Pan","affiliation":""},{"name":"Matthew Belcher","slug":"matthew-belcher","given":"Matthew","family":"Belcher","affiliation":""},{"name":"Gerónimo Medrano Loera","slug":"geronimo-medrano-loera","given":"Gerónimo","family":"Medrano Loera","affiliation":""},{"name":"Dayana Pineda Pérez","slug":"dayana-pineda-perez","given":"Dayana","family":"Pineda Pérez","affiliation":""},{"name":"Juan Emmanuel Ferrari Muñoz-Ledo","slug":"juan-emmanuel-ferrari-munoz-ledo","given":"Juan Emmanuel","family":"Ferrari Muñoz-Ledo","affiliation":""},{"name":"Horacio Márquez-González","slug":"horacio-marquez-gonzalez","given":"Horacio","family":"Márquez-González","affiliation":""},{"name":"Nuno Moniz","slug":"nuno-moniz","given":"Nuno","family":"Moniz","affiliation":""},{"name":"Nitesh V. Chawla","slug":"nitesh-v-chawla","given":"Nitesh V.","family":"Chawla","affiliation":""}],"abstract":"In low-and middle-income countries (LMICs) pediatric cancer patients and their caregivers often suffer from effects of underfunded, fragmented and outdated healthcare systems. One of these effects is a breakdown of communication between hospital staff and caregivers, which is felt stronger among vulnerable populations. Our proposed solution integrates Large Language Models (LLM) and Automatic Speech Recognition (ASR) technologies to enhance communication between caregivers and healthcare providers while integrating community feedback. We combine cutting-edge technology with existing hospital infrastructure to allow for easy deployment and testing. The system will improve access to health, nutrition, and parental care programs, prioritizing caregiver engagement and real-time interaction. Ultimately, our system will pave the way to more equitable access to medical care, and address structural barriers affecting marginalized communities.","doi":"10.24963/ijcai.2025/1085","url":"https://ijcai.org/proceedings/2025/1085","pdf":"https://ijcai.org/proceedings/2025/1085.pdf","markdown":"https://ijcai.org/proceedings/2025/1085.md","bibtex":"https://ijcai.org/proceedings/2025/bibtex/1085","volume":{"slug":"2025","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2025","url":"https://ijcai.org/proceedings/2025/","year":2025,"location":"Montreal, Canada","dates":"16-22 August 2025","editors":"James Kwok","isbn":"978-1-956792-06-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2025"},"section":"AI and Social Good","track":"AI and Social Good","number":1085,"pages":{"first":9763,"last":9771},"keywords":["Humans and AI: General","Multidisciplinary Topics and Applications: General","Natural Language Processing: General"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}