Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
出版年份 2022 全文链接
标题
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
作者
关键词
-
出版物
npj Digital Medicine
Volume 5, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-05-31
DOI
10.1038/s41746-022-00611-y
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask
- (2021) Isaac S Kohane et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- The importance of being external. methodological insights for the external validation of machine learning models in medicine
- (2021) Federico Cabitza et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Swarm Learning for decentralized and confidential clinical machine learning
- (2021) Stefanie Warnat-Herresthal et al. NATURE
- The Clinician and Dataset Shift in Artificial Intelligence
- (2021) Samuel G. Finlayson et al. NEW ENGLAND JOURNAL OF MEDICINE
- Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
- (2021) Jean Feng et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19
- (2021) Christopher Duckworth et al. Scientific Reports
- Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review
- (2021) Claudette O. Adegboro et al. Hospital pediatrics
- Reinforcement Learning for Clinical Decision Support in Critical Care: A Comprehensive Review (Preprint)
- (2020) Siqi Liu et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Quality improvement into practice
- (2020) Adam Backhouse et al. BMJ-British Medical Journal
- Causality matters in medical imaging
- (2020) Daniel C. Castro et al. Nature Communications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- (2020) Micah J. Sheller et al. Scientific Reports
- Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review
- (2020) Avishek Choudhury et al. JMIR Medical Informatics
- Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep
- (2020) Jean Feng et al. BIOMETRICS
- Detection of calibration drift in clinical prediction models to inform model updating
- (2020) Sharon E. Davis et al. JOURNAL OF BIOMEDICAL INFORMATICS
- The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence
- (2019) Federico Cabitza et al. Annals of Translational Medicine
- High-dimensional change-point detection under sparse alternatives
- (2019) Farida Enikeeva et al. ANNALS OF STATISTICS
- Prognostic models will be victims of their own success, unless…
- (2019) Matthew C Lenert et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Artificial Intelligence in Imaging: The Radiologist’s Role
- (2019) Daniel L. Rubin Journal of the American College of Radiology
- How to Read Articles That Use Machine Learning
- (2019) Yun Liu et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Big Data? Statistical Process Control Can Help!
- (2019) Peihua Qiu AMERICAN STATISTICIAN
- Algorithms on regulatory lockdown in medicine
- (2019) Boris Babic et al. SCIENCE
- The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities
- (2019) Lauren J. Beesley et al. STATISTICS IN MEDICINE
- Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis
- (2018) Feras Hatib et al. ANESTHESIOLOGY
- Estimation of the optimal surrogate based on a randomized trial
- (2018) Brenda L. Price et al. BIOMETRICS
- The Value of Monitoring Clinical Decision Support Interventions
- (2018) Shirley Fei et al. Applied Clinical Informatics
- A guide to deep learning in healthcare
- (2018) Andre Esteva et al. NATURE MEDICINE
- Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
- (2018) Awni Y. Hannun et al. NATURE MEDICINE
- Big data and targeted machine learning in action to assist medical decision in the ICU
- (2018) Romain Pirracchio et al. Anaesthesia Critical Care & Pain Medicine
- Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets
- (2017) Jonathan H. Chen et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Calibration drift in regression and machine learning models for acute kidney injury
- (2017) Sharon E Davis et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Online cross-validation-based ensemble learning
- (2017) David Benkeser et al. STATISTICS IN MEDICINE
- Likelihood Ratio-Based Distribution-Free EWMA Control Charts
- (2017) Changliang Zou et al. JOURNAL OF QUALITY TECHNOLOGY
- Calibration of medical diagnostic classifier scores to the probability of disease
- (2016) Weijie Chen et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- MIMIC-III, a freely accessible critical care database
- (2016) Alistair E.W. Johnson et al. Scientific Data
- Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators
- (2015) Andreas N. Strobl et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Learning (predictive) risk scores in the presence of censoring due to interventions
- (2015) Kirill Dyagilev et al. MACHINE LEARNING
- Recalibration of the delirium prediction model for ICU patients (PRE-DELIRIC): a multinational observational study
- (2014) M. van den Boogaard et al. INTENSIVE CARE MEDICINE
- Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification
- (2011) Tyler H. McCormick et al. BIOMETRICS
- Comparing Biomarkers as Principal Surrogate Endpoints
- (2011) Ying Huang et al. BIOMETRICS
- Multivariate Statistical Process Control Using LASSO
- (2010) Changliang Zou et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Sequential Change-Point Detection When the Pre- and Post-Change Parameters are Unknown
- (2010) Tze Leung Lai et al. Sequential Analysis-Design Methods and Applications
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