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.
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A PILOT STUDY ON THE IMPACT OF LLMS ON VIRTUAL TUTORING FOR LOW- TO MIDDLE-INCOME COUNTRIES
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AI in Yoruba STEM Education for Early Childhood Learning: A Study on Translation Quality and Context
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AI-Based Early Detection of Developmental Delays in Children with Sickle Cell Disease (Ages 0–5)
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AlphaGo or beta-hCG: a reinforcement learning framework for assisted conception
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Assessing Large Language Models in Children's Education in Low-Resource Settings: Opportunities and Challenges
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Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes
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Commentary: Adaptive Transformation of Educational Content Using Large Language Models for Children with ADHD
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Commentary: Continuous Turing Test -- A Sociological and Psychological Approach on Human-AI Distinction
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Commentary: Utilizing Large Language Models for Adaptive Education in Children with Autism Spectrum Disorder
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Evaluating Speech To Text For Children With Speech Impairment
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FetalCSR: Multi-input Attention Fusion Network for Neural ODE-based Fetal Cortical Surface Reconstruction
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From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions
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Human-Centered Ethical AI: Transforming Education and Healthcare for Displaced Children in Northern Nigeria
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Intelligent Technology-Driven Precision Assessment and Personalized Rehabilitation System for Children with Articulation Disorders
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Large Language Model-Powered Personalized Education for Refugee Children: Adaptive Learning on Low-Resource Devices
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MinorBench: A hand-built benchmark for content-based risks for children
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Multimodal Hypoxic-Ischemic Encephalopathy Lesion Segmentation in Neonates: A Comparative Study of Loss Functions
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Optimising Screen-Based Learning for Children with Neuropersonalised Acoustic Ostensive Signals
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Predicting pulmonary hypertension in newborns: A multi-view VAE approach
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Prediction of Item Difficulty for Reading Comprehension Items by Creation of Annotated Item Repository
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Quantitative Evaluation of Multimodal LLMs in Pediatric Radiology Report Generation
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Towards an Explainable Longitudinal Representation Learning for Organizing Trajectories of Adolescent Mental Health Onset
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Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings
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Understanding School Attendance Through Multimodal Modelling of Student Narratives
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What About the Children? Evaluating and Mitigating Ageism in Medical QA Benchmarks
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When AI Falls Short: Assessing LLMs Support for Pediatric Cancer Caregivers