ICLR 2025 Past Healthcare & biologyEducation

AI for Children: Healthcare, Psychology, Education

ICLR 2025 Workshop AI4CHL

Submission deadline
Feb 24, 2025, 11:59 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (26)

Fetched from OpenReview (v2) on 2026-06-10.

  1. A PILOT STUDY ON THE IMPACT OF LLMS ON VIRTUAL TUTORING FOR LOW- TO MIDDLE-INCOME COUNTRIES

    Nguyen Tien Dat, Phi Van Nguyen, Viet Anh Ngo, Long Tri Thai Son, Nguyen Nhat Minh, Long Q. Tran
  2. AI in Yoruba STEM Education for Early Childhood Learning: A Study on Translation Quality and Context

    Olanrewaju Israel Lawal, Anthony Soronnadi, Olubayo Adekanmbi, Ife Adebara
  3. AI-Based Early Detection of Developmental Delays in Children with Sickle Cell Disease (Ages 0–5)

    Comfort Oyindamola Akanni, Adedamola Evan Adetoye
  4. AlphaGo or beta-hCG: a reinforcement learning framework for assisted conception

    Simon Hanassab, Elizaveta Sheremetyeva, Sonali Parbhoo, Scott M. Nelson, Waljit S. Dhillo, Ali Abbara, Thomas Heinis
  5. Assessing Large Language Models in Children's Education in Low-Resource Settings: Opportunities and Challenges

    Ibomoiye Domor Mienye, George Rabeshi Obaido, Thabisile Obi
  6. Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes

    Marco Voegeli, Sonia Laguna, Heike Leutheuser, Marie-Anne Burckhardt, Julia E Vogt
  7. Commentary: Adaptive Transformation of Educational Content Using Large Language Models for Children with ADHD

    Osama Orabi, Alaa Aldin Hajjar, Hadi Salloum
  8. Commentary: Continuous Turing Test -- A Sociological and Psychological Approach on Human-AI Distinction

    Michelle Wang, Xinyu Hu
  9. Commentary: Utilizing Large Language Models for Adaptive Education in Children with Autism Spectrum Disorder

    Alaa Aldin Hajjar, Osama Orabi, Hadi Salloum
  10. Evaluating Speech To Text For Children With Speech Impairment

    Ifeoluwa Adeyeye-Kayode, Anthony Soronnadi, Ife Adebara, Olubayo Adekanmbi
  11. FetalCSR: Multi-input Attention Fusion Network for Neural ODE-based Fetal Cortical Surface Reconstruction

    Haoxiang Li, Mingxuan Liu, Xuguang Bai, Yi Liao, Jialan Zheng, Hongjia Yang, Zihan Li, Haibo Qu, Qiyuan Tian
  12. From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions

    Ruben Weijers, Denton Wu, Hannah Betts, Tamara Jacod, Yuxiang Guan, Vidya Sujaya, Kushal Dev, William Delooze, Reihaneh Rabbany, Ying Wu, Jean-François Godbout, Kellin Pelrine
  13. Human-Centered Ethical AI: Transforming Education and Healthcare for Displaced Children in Northern Nigeria

    Ugochi Okafor, Godwin Adegbehingbe
  14. Intelligent Technology-Driven Precision Assessment and Personalized Rehabilitation System for Children with Articulation Disorders

    Jincai Feng
  15. Large Language Model-Powered Personalized Education for Refugee Children: Adaptive Learning on Low-Resource Devices

    Osama Orabi, Alaa Aldin Hajjar, Hadi Salloum
  16. MinorBench: A hand-built benchmark for content-based risks for children

    Shaun Khoo, Gabriel Chua, Rachel Shong
  17. Multimodal Hypoxic-Ischemic Encephalopathy Lesion Segmentation in Neonates: A Comparative Study of Loss Functions

    Abdul Haseeb, Annayah Usman, Tahir Syed
  18. Optimising Screen-Based Learning for Children with Neuropersonalised Acoustic Ostensive Signals

    Lee Kean Mun, Priyadharshini Santhanakrishnan, Johann Kay Ann Tan, Manoj Ramanathan, Bisio Isabella Sole, Kwa En Hui Anna, Joan Kailin Ng, Tan Yu Wei Russell, Teo Hui Ling Rachel, Victoria Leong
  19. Predicting pulmonary hypertension in newborns: A multi-view VAE approach

    Lucas Erlacher, Samuel Ruiperez-Campillo, Holger Michel, Sven Wellmann, Thomas M. Sutter, Ece Ozkan, Julia E Vogt
  20. Prediction of Item Difficulty for Reading Comprehension Items by Creation of Annotated Item Repository

    Radhika Kapoor, Sang T. Truong, Nick Haber, Benjamin W. Domingue, Maria Araceli Ruiz-Primo
  21. Quantitative Evaluation of Multimodal LLMs in Pediatric Radiology Report Generation

    Zhiguang Ding, Rodrigo Cao
  22. Towards an Explainable Longitudinal Representation Learning for Organizing Trajectories of Adolescent Mental Health Onset

    Swanie Juhng, Siddharth Mangalik, Connor Lawhead, Daniel N. Klein, H. Schwartz
  23. Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings

    Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, Julia E Vogt
  24. Understanding School Attendance Through Multimodal Modelling of Student Narratives

    Tingrui Qiao, Caroline Walker, Chris W Cunningham, Adam Jang-Jones, Susan Mary Bennett Morton, Kane Meissel, Yun Sing Koh
  25. What About the Children? Evaluating and Mitigating Ageism in Medical QA Benchmarks

    Adil Bahaj, Mohamed CHETOUANI, Mounir Ghogho
  26. When AI Falls Short: Assessing LLMs Support for Pediatric Cancer Caregivers

    Wenjia Tan, Yuanhui Luo, Derek F. Wong