Citation Impact
Citing Papers
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
2016
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
A bibliometric analysis of natural language processing in medical research
2018
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
2021 Standout
The role of artificial intelligence in healthcare: a structured literature review
2021 Standout
Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine
2017
Text Data Augmentation for Deep Learning
2021 Standout
MIMIC-III, a freely accessible critical care database
2016 Standout
A study of active learning methods for named entity recognition in clinical text
2015
The occurrence, types, consequences and preventability of in-hospital adverse events – a scoping review
2018
Construction accident narrative classification: An evaluation of text mining techniques
2017 Standout
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop
2019
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review
2020
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
The “All of Us” Research Program
2019 Standout
Drug repurposing: progress, challenges and recommendations
2018 Standout
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
2021
Deep learning in histopathology: the path to the clinic
2021 Standout
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age
2017
Clinical Text Data in Machine Learning: Systematic Review
2020
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Artificial Intelligence in Cardiology
2018 Standout
Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis
2015
eMERGEing progress in genomics—the first seven years
2014
Artificial intelligence in healthcare
2018 Standout
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment
2021 Standout
The false hope of current approaches to explainable artificial intelligence in health care
2021 Standout
Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
2023 Standout
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
2018 Standout
Resistance to Medical Artificial Intelligence
2019 Standout
Natural Language Processing for EHR-Based Computational Phenotyping
2018
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Past, present, and future of smart learning: a topic-based bibliometric analysis
2021 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Extracting research-quality phenotypes from electronic health records to support precision medicine
2015
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks
2016
Harnessing information from injury narratives in the ‘big data’ era: understanding and applying machine learning for injury surveillance
2016
Deep Learning for Intelligent Human–Computer Interaction
2022 Standout
The Measurement of Observer Agreement for Categorical Data
1977 Standout
Works of Todd Lingren being referenced
Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing
2013
Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements
2013
Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children
2014
Large-scale evaluation of automated clinical note de-identification and its impact on information extraction
2012
EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children
2013
Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care
2014
An end-to-end hybrid algorithm for automated medication discrepancy detection
2015
Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis
2014
Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department
2014
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability
2016