Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Clinical
Healthcare & Medicine
›
Clinical
›
Medical AI
1040 directly classified papers
Papers per year
2003: 1
2006: 6
2007: 4
2008: 3
2009: 3
2010: 4
2011: 5
2012: 7
2013: 4
2014: 1
2015: 4
2016: 26
2017: 20
2018: 47
2019: 57
2020: 82
2021: 107
2022: 115
2023: 133
2024: 161
2025: 247
2026: 3
Papers
Towards Objectively Evaluating the Quality of Generated Medical Summaries
EACL 2021
How to leverage the multimodal EHR data for better medical prediction?
EMNLP 2021
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
EMNLP 2021
A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums
EMNLP 2021
What Would it Take to get Biomedical QA Systems into Practice?
EMNLP 2021
Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set
EMNLP 2021
Description-based Label Attention Classifier for Explainable ICD-9 Classification
EMNLP 2021
Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text
EMNLP 2021
Inference for the Case Probability in High-dimensional Logistic Regression
JMLR 2021
Estimation and Optimization of Composite Outcomes
JMLR 2021
On Multi-Armed Bandit Designs for Dose-Finding Trials
JMLR 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
AISTATS 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
NIPS 2021
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation
NIPS 2021
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
NIPS 2021
Deep Extended Hazard Models for Survival Analysis
NIPS 2021
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
AAAI 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
ICML 2020
DeepCoDA: personalized interpretability for compositional health data
ICML 2020
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response
AAAI 2020
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
AAAI 2020
DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards
AAAI 2020
Neural Cognitive Diagnosis for Intelligent Education Systems
AAAI 2020
A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study
IJCAI 2020
State Variable Effects in Graphical Event Models
IJCAI 2020
<
1
…
30
31
32
…
42
>