Awesome Domain — Healthcare
Domain — Healthcare is one of the most active areas in Awesome Time Series — 568 papers in this collection, evaluated on datasets like MIMIC-III, COVID-19, Japanese Mortality Database. A strong starting point is "Deep Learning for Time Series Forecasting: A Survey".
Datasets & benchmarks
Key papers
- Deep Learning for Time Series Forecasting: A Survey (2025)Xiangjie Kong et al.11.40
- Multi-modal Time Series Analysis: A Tutorial and Survey (2025)Yushan Jiang et al.10.40
- HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method (2021)Ling Chen et al.10.21
- From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization (2025)Xiaoyu Tao et al.7.68
- Boundary-enhanced time series data imputation with long-term dependency
diffusion models (2025)Chunjing Xiao et al.7.29
- Physics-informed deep learning for infectious disease forecasting (2025)Ying Qian et al.6.78
- Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study (2025)Mousa Alizadeh et al.5.96
- Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences (2025)Mahdi Moghaddami et al.5.87
- FreEformer: Frequency Enhanced Transformer for Multivariate Time Series
Forecasting (2025)Wenzhen Yue and Yong Liu and Xianghua Ying and Bowei Xing and Ruohao Guo and Ji Shi5.84
- TimeCAP: Learning to Contextualize, Augment, and Predict Time Series
Events with Large Language Model Agents (2025)Geon Lee et al.5.59
- EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries (2026)Jiyoun Kim et al.5.49
- Feynman Kac Reweighted Schr\"odinger Bridge Matching for Surface-Based Tau PET Harmonization (2026)Jianwei Zhang et al.5.01
- LLM Features Can Hurt GNNs: Concatenation Interference on Homophilous Graph Benchmarks (2026)Zhongyuan Wang et al.5.01
- When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support (2026)Drishti Goel et al.5.01
- Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting (2025)Zhongying Wang et al.4.53
- Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time
Series for Responsible Gameplay (2025)Hussain Jagirdar et al.4.42
- Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare (2025)Shahriar Noroozizadeh et al.4.42
- TiWeaver: Unified Temporal Dynamics Modeling via Contextual Patching (2026)Zhe Li et al.4.39
- Medical Heuristic Learning: An LLM-Driven Framework for Interpretable and Auditable Clinical Decision Rules (2026)Wei Xu et al.4.39
- RadSEM: A Finding-by-Finding Metric for Clinical Consistency in Radiology Reports (2026)Zhenhong Yang et al.4.39
- Informative Missingness to Generate Irregular Clinical Time Series (2026)Hadi Mehdizavareh et al.4.39
- Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs (2026)Md Abdullah Al Mamun et al.4.39
- The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance (2026)Csaba Kiss et al.4.39
- Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis (2026)Jingyu Hu et al.4.39
- Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3 (2026)Jay Jung et al.4.39
- Tropical Viterbi Tubes for Decoding Uncertainty in Hidden Markov Models (2026)Aur\'elien Nicosia4.39
- SpeechDx: A Multi-Task Benchmark for Clinical Speech AI (2026)Sejal Bhalla et al.4.39
- Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation (2026)Hongchao Shu et al.4.39
- Bayesian Magnetic Resonance Joint Image Reconstruction and Uncertainty Quantification using Sparsity Prior Models and Markov Chain Monte Carlo Sampling (2026)Ahmed Karam Eldaly et al.4.39
- MeiBRD: Meta-Learning Intraoperative Biomechanical Residual Deformation (2026)Casey Meisenzahl et al.4.39
- Treatment Response Optimized Clinical Decision Support AI System via Digital Twin Simulation (2026)Xinyu Qin et al.4.39
- Enhancing Pathological VLMs with Cross-scale Reasoning (2026)Chi Phan et al.4.39
- Spatio-Temporal Fusion Model for Standard View Classification of Echocardiographic Videos (2026)Bo Gou et al.4.39
- Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure (2026)Moritz Schlager et al.4.39
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems (2026)Xi Chu et al.4.39
- A Machine-Learned Comorbidity Index (2026)Suleman Baloch et al.4.39
- A Bayesian Boolean Matrix Factorization with Application to Copy Number Analysis in Cancer (2026)Adolphus Wagala et al.4.39
- Learning to Refine Hidden States for Reliable LLM Reasoning (2026)Chia-Hsuan Hsu et al.4.39
- SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology (2026)Wan Siti Halimatul Munirah Wan Ahmad et al.4.39
- Vision-language models for chest radiography do not always need the image (2026)Mahshad Lotfinia et al.4.39
- Talking to Your Data: Exploring Embodied Conversation as an Interface for Personal Health Reflection (2026)Nikola Kovacevic et al.4.39
- On Response-Adaptive Targeting Strategies for Multi-Treatment Experiments (2026)Redouane Yagouti et al.4.39
- High-Fidelity 3D Geometric Reconstruction of Pelvic Organs from MRI: A Hybrid Deep Learning and Iterative Optimization Approach (2026)Hui Wang et al.4.39
- How Inference Compute Shapes Frontier LLM Evaluation (2026)Jessica McFadyen et al.4.39
- Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation (2026)Yuming Chen et al.4.39
- Robustness of Similarity-based Positional Encoding Under Rotations: Theoretical Analysis and Experimental Validation (2026)Andrea Santomauro et al.4.39
- SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation (2026)Sicheng Yang et al.4.39
- Recover Semantics First, Generate Better: Improved Latent Modeling for 3D MRI Reconstruction and Cross-Contrast Synthesis (2026)Yonghao Chen et al.4.39
- ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents (2026)Ander Alvarez et al.4.39
- When LLMs Analyze Scars: From Images to Clinically-Meaningful Features (2026)Ruman Wang et al.4.39
- Agentic AI-based Framework for Mitigating Premature Diagnostic Handoff and Silent Hallucination in Healthcare Applications (2026)Divyansh Srivastava et al.4.39
- Towards Understanding and Measuring COGNITIVE ATROPHY in LLM Behaviour (2026)Abeer Badawi et al.4.39
- WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning (2026)Yuwei Zhang et al.4.39
- Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure (2026)Ziqi Zhou et al.4.39
- Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions (2026)Yuefeng Liu et al.4.33
- Transfer Learning using 66 Diseases for Disease Forecasting Applications (2026)Lauren J Beesley et al.4.33
- Ultralow-dimensionality reduction for identifying critical transitions
by spatial-temporal PCA (2025)Pei Chen et al.4.25
- MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction (2025)Zexi Tan and Tao Xie and Binbin Sun and Xiang Zhang and Yiqun Zhang and Yiu-Ming Cheung4.09
- DyWPE: Signal-Aware Dynamic Wavelet Positional Encoding for Time Series Transformers (2025)Habib Irani et al.4.03
- Towards Efficient Real-Time Video Motion Transfer via Generative Time Series Modeling (2025)Tasmiah Haque et al.3.75