Medical AI

Electronic Medical Records Assisted Digital Clinical Trial Design AISTATS 2024 Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach IJCAI 2024 Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024 Enhancing Healthcare Predictions with Deep Learning Models AAAI 2024 Enhancing Patient Recruitment Response in Clinical Trials: an Adaptive Learning Framework UAI 2024 ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments EMNLP 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 Evaluating a 3-factor listener model for prediction of speech intelligibility to hearing-impaired listeners Interspeech 2024 Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questions EMNLP 2024 Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract) AAAI 2024 Event-Based Contrastive Learning for Medical Time Series MLHC 2024 Experimenting with Transformer-based and Large Language Models for Classifying Effects of Outdoor Spaces on Social Anxiety in Social Media Data ACL 2024 Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics ICML 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NeurIPS 2024 Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NeurIPS 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 Fairness in Survival Analysis with Distributionally Robust Optimization JMLR 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NeurIPS 2024 FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data WACV 2024 FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024 Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NeurIPS 2024 Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level EMNLP 2024 Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting EMNLP 2024