Medical AI

Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract) AAAI 2024 Adaptive Discretization for Event PredicTion (ADEPT) AISTATS 2024 A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective ICML 2024 A Hybrid AI Framework for Sensor-Based Personal Health Monitoring towards Precision Health AAAI 2024 A Linear Algebraic Framework for Counterfactual Generation ICLR 2024 Allocation Requires Prediction Only if Inequality Is Low ICML 2024 A Multilevel Analysis of PubMed-only BERT-based Biomedical Models NAACL 2024 An effective framework for estimating individualized treatment rules NeurIPS 2024 A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces ICML 2024 Annotation-Efficient Strategy for Segmentation of 3D Body Composition MIDL 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records EMNLP 2024 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration EMNLP 2024 Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach EMNLP 2024 Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition WACV 2024 Automatic Annotation of Dream Report’s Emotional Content with Large Language Models EACL 2024 Automatic Detection of Hearing Loss from Children's Speech using wav2vec 2.0 Features Interspeech 2024 Automatic Longitudinal Investigation of Multiple Sclerosis Subjects Interspeech 2024 Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024 Benchmarking Retrieval-Augmented Generation for Medicine ACL 2024 Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects MLHC 2024 Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. EMNLP 2024 Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning EMNLP 2024 Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition AAAI 2024