Medical AI

From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024 From Sights to Insights: Towards Summarization of Multimodal Clinical Documents ACL 2024 Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights IJCAI 2024 Fusing Individualized Treatment Rules Using Secondary Outcomes AISTATS 2024 Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement AAAI 2024 Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP 2024 General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History MLHC 2024 GigaPevt: Multimodal Medical Assistant IJCAI 2024 GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks ICLR 2024 GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI NeurIPS 2024 Graph Neural Networks for Brain Graph Learning: A Survey IJCAI 2024 Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds IJCAI 2024 Handling Name Errors of a BERT-Based De-Identification System: Insights from Stratified Sampling and Markov-based Pseudonymization EACL 2024 Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations MIDL 2024 How Do Conversational Agents in Healthcare Impact on Patient Agency? EACL 2024 How to use Language Models for Synthetic Text Generation in Cerebrovascular Disease-specific Medical Reports EACL 2024 IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity AAAI 2024 Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping MIDL 2024 Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 2024 Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection Interspeech 2024 Improving Vietnamese-English Medical Machine Translation COLING 2024 Incorporating probabilistic domain knowledge into deep multiple instance learning ICML 2024 Inference for Optimal Linear Treatment Regimes in Personalized Decision-making UAI 2024 Instruction Tuning Large Language Models to Understand Electronic Health Records NeurIPS 2024 Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024