Fairness of artificial intelligence in healthcare: review and recommendations
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Fairness of artificial intelligence in healthcare: review and recommendations
Authors
Keywords
-
Journal
Japanese Journal of Radiology
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-08-04
DOI
10.1007/s11604-023-01474-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Update on the Use of Artificial Intelligence in Hepatobiliary MR Imaging
- (2023) Takeshi Nakaura et al. Magnetic Resonance in Medical Sciences
- Pulse Sequences and Reconstruction in Fast MR Imaging of the Liver
- (2023) Hiroyuki Kabasawa et al. Magnetic Resonance in Medical Sciences
- Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the AJR Special Series on DEI
- (2023) Melissa A. Davis et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance
- (2023) Thomas Dratsch et al. RADIOLOGY
- Anomaly detection in chest 18F-FDG PET/CT by Bayesian deep learning
- (2022) Takahiro Nakao et al. Japanese Journal of Radiology
- Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method
- (2022) Akitoshi Shimazaki et al. Scientific Reports
- Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography
- (2022) Jo Ozaki et al. Japanese Journal of Radiology
- Discrimination of lipoma from atypical lipomatous tumor/well-differentiated liposarcoma using magnetic resonance imaging radiomics combined with machine learning
- (2022) Nurdan Cay et al. Japanese Journal of Radiology
- Newly developed artificial intelligence algorithm for COVID-19 pneumonia: utility of quantitative CT texture analysis for prediction of favipiravir treatment effect
- (2022) Yoshiharu Ohno et al. Japanese Journal of Radiology
- Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction
- (2022) Tetsuro Kaga et al. Japanese Journal of Radiology
- Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets
- (2022) Daiju Ueda et al. PLoS One
- Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
- (2022) Jean Feng et al. npj Digital Medicine
- Comparison of the performances of machine learning and deep learning in improving the quality of low dose lung cancer PET images
- (2022) Ying-Hwey Nai et al. Japanese Journal of Radiology
- Association of severe COVID-19 outcomes with radiological scoring and cardiomegaly: findings from the COVID-19 inpatients database, Japan
- (2022) Atsuhiro Kanayama et al. Japanese Journal of Radiology
- Comparison of CT findings of coronavirus disease 2019 (COVID-19) pneumonia caused by different major variants
- (2022) Shohei Inui et al. Japanese Journal of Radiology
- The effect of CT texture-based analysis using machine learning approaches on radiologists' performance in differentiating focal-type autoimmune pancreatitis and pancreatic duct carcinoma
- (2022) Kenta Anai et al. Japanese Journal of Radiology
- Deep Learning–Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs
- (2022) Toshimasa Matsumoto et al. JOURNAL OF DIGITAL IMAGING
- Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
- (2022) Bas H.M. van der Velden et al. MEDICAL IMAGE ANALYSIS
- Addressing fairness in artificial intelligence for medical imaging
- (2022) María Agustina Ricci Lara et al. Nature Communications
- Artificial intelligence-based model for COVID-19 prognosis incorporating chest radiographs and clinical data; a retrospective model development and validation study
- (2022) Shannon L Walston et al. BRITISH JOURNAL OF RADIOLOGY
- Visual and quantitative evaluation of microcalcifications in mammograms with deep learning-based super-resolution
- (2022) Takashi Honjo et al. EUROPEAN JOURNAL OF RADIOLOGY
- The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use
- (2022) Simeng Zhu et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Comparisons between artificial intelligence computer-aided detection synthesized mammograms and digital mammograms when used alone and in combination with tomosynthesis images in a virtual screening setting
- (2022) Takayoshi Uematsu et al. Japanese Journal of Radiology
- Detection of intracranial aneurysms using deep learning-based CAD system: usefulness of the scores of CNN’s final layer for distinguishing between aneurysm and infundibular dilatation
- (2022) Makiko Ishihara et al. Japanese Journal of Radiology
- Validation of a convolutional neural network for the automated creation of curved planar reconstruction images along the main pancreatic duct
- (2022) Yuji Koretsune et al. Japanese Journal of Radiology
- Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers’ performance and final diagnosis
- (2022) Naoki Toda et al. Japanese Journal of Radiology
- Systematic analysis of the test design and performance of AI/ML-based medical devices approved for triage/detection/diagnosis in the USA and Japan
- (2022) Mitsuru Yuba et al. Scientific Reports
- Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction
- (2021) Yasutaka Ichikawa et al. JAPANESE JOURNAL OF RADIOLOGY
- Pulmonary vascular enlargement and lesion extent on computed tomography are correlated with COVID-19 disease severity
- (2021) Ryo Aoki et al. JAPANESE JOURNAL OF RADIOLOGY
- Convolutional neural network in nasopharyngeal carcinoma: how good is automatic delineation for primary tumor on a non-contrast-enhanced fat-suppressed T2-weighted MRI?
- (2021) Lun M. Wong et al. JAPANESE JOURNAL OF RADIOLOGY
- Computer-aided detection of cerebral aneurysms with magnetic resonance angiography: usefulness of volume rendering to display lesion candidates
- (2021) Soichiro Miki et al. JAPANESE JOURNAL OF RADIOLOGY
- Convolutional neural network for classifying primary liver cancer based on triple-phase CT and tumor marker information: a pilot study
- (2021) Hirotsugu Nakai et al. JAPANESE JOURNAL OF RADIOLOGY
- Diagnostic performance of Radiological Society of North America structured reporting language for chest computed tomography findings in patients with COVID-19
- (2021) Halil Özer et al. JAPANESE JOURNAL OF RADIOLOGY
- An analysis of the radiological factors associated with respiratory failure in COVID-19 pneumonia and the CT features among different age categories
- (2021) Akito Fukuda et al. JAPANESE JOURNAL OF RADIOLOGY
- Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results
- (2021) Tomohisa Okuma et al. JAPANESE JOURNAL OF RADIOLOGY
- Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19
- (2021) Qing-Qing Zhu et al. JAPANESE JOURNAL OF RADIOLOGY
- Ground-glass opacity (GGO): a review of the differential diagnosis in the era of COVID-19
- (2021) Diletta Cozzi et al. JAPANESE JOURNAL OF RADIOLOGY
- A Survey on Bias and Fairness in Machine Learning
- (2021) Ninareh Mehrabi et al. ACM COMPUTING SURVEYS
- A novel strategy to develop deep learning for image super-resolution using original ultra-high-resolution computed tomography images of lung as training dataset
- (2021) Hitoshi Kitahara et al. Japanese Journal of Radiology
- Performance changes due to differences in training data for cerebral aneurysm detection in head MR angiography images
- (2021) Yukihiro Nomura et al. Japanese Journal of Radiology
- The Clinician and Dataset Shift in Artificial Intelligence
- (2021) Samuel G. Finlayson et al. NEW ENGLAND JOURNAL OF MEDICINE
- Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study
- (2021) Daiju Ueda et al. BMC CANCER
- Datasheets for datasets
- (2021) Timnit Gebru et al. COMMUNICATIONS OF THE ACM
- Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography
- (2021) Koichiro Yasaka et al. Japanese Journal of Radiology
- Artificial intelligence: Who is responsible for the diagnosis?
- (2020) Emanuele Neri et al. Radiologia Medica
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
- (2020) Laure Wynants et al. BMJ-British Medical Journal
- Dynamic changes on chest CT of COVID-19 patients with solitary pulmonary lesion in initial CT
- (2020) Yuandi Zhuang et al. JAPANESE JOURNAL OF RADIOLOGY
- Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions
- (2020) Ryo Matsukiyo et al. JAPANESE JOURNAL OF RADIOLOGY
- Transparency and reproducibility in artificial intelligence
- (2020) Benjamin Haibe-Kains et al. NATURE
- Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology
- (2020) Daniel J. Mollura et al. RADIOLOGY
- The ethics of AI in health care: A mapping review
- (2020) Jessica Morley et al. SOCIAL SCIENCE & MEDICINE
- Visualizing “featureless” regions on mammograms classified as invasive ductal carcinomas by a deep learning algorithm: the promise of AI support in radiology
- (2020) Daiju Ueda et al. JAPANESE JOURNAL OF RADIOLOGY
- PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
- (2019) Robert F. Wolff et al. ANNALS OF INTERNAL MEDICINE
- Machine Learning in Medicine
- (2019) Alvin Rajkomar et al. NEW ENGLAND JOURNAL OF MEDICINE
- Potential Liability for Physicians Using Artificial Intelligence
- (2019) W. Nicholson Price et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Dissecting racial bias in an algorithm used to manage the health of populations
- (2019) Ziad Obermeyer et al. SCIENCE
- Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers—From the Radiology Editorial Board
- (2019) David A. Bluemke et al. RADIOLOGY
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
- (2019) Alejandro Barredo Arrieta et al. Information Fusion
- Global and Japanese regional variations in radiologist potential workload for computed tomography and magnetic resonance imaging examinations
- (2018) Kanako K. Kumamaru et al. JAPANESE JOURNAL OF RADIOLOGY
- Deep learning with convolutional neural network in radiology
- (2018) Koichiro Yasaka et al. JAPANESE JOURNAL OF RADIOLOGY
- Automated Dermatological Diagnosis: Hype or Reality?
- (2018) Cristian Navarrete-Dechent et al. JOURNAL OF INVESTIGATIVE DERMATOLOGY
- Implementing Machine Learning in Health Care — Addressing Ethical Challenges
- (2018) Danton S. Char et al. NEW ENGLAND JOURNAL OF MEDICINE
- Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
- (2018) Seong Ho Park et al. RADIOLOGY
- Global and Japanese regional variations in radiologist potential workload for computed tomography and magnetic resonance imaging examinations
- (2018) Kanako K. Kumamaru et al. Japanese Journal of Radiology
- Deep learning with convolutional neural network in radiology
- (2018) Koichiro Yasaka et al. Japanese Journal of Radiology
- Machine Learning and Health Care Disparities in Dermatology
- (2018) Adewole S. Adamson et al. JAMA Dermatology
- Ensuring Fairness in Machine Learning to Advance Health Equity
- (2018) Alvin Rajkomar et al. ANNALS OF INTERNAL MEDICINE
- Technical and clinical overview of deep learning in radiology
- (2018) Daiju Ueda et al. JAPANESE JOURNAL OF RADIOLOGY
- Privacy in the age of medical big data
- (2018) W. Nicholson Price et al. NATURE MEDICINE
- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms
- (2018) Daiju Ueda et al. RADIOLOGY
- Machine learning in medicine: Addressing ethical challenges
- (2018) Effy Vayena et al. PLOS MEDICINE
- Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
- (2018) John R. Zech et al. PLOS MEDICINE
- Explanation in artificial intelligence: Insights from the social sciences
- (2018) Tim Miller ARTIFICIAL INTELLIGENCE
- UK radiologist staffing crisis reaches critical levels
- (2017) Elizabeth Gourd LANCET ONCOLOGY
- Radiologist shortage leaves patient care at risk, warns royal college
- (2017) Abi Rimmer BMJ-British Medical Journal
- Radiologist shortage leaves patient care at risk, warns royal college
- (2017) Abi Rimmer BMJ-British Medical Journal
- Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
- (2016) Ziad Obermeyer et al. NEW ENGLAND JOURNAL OF MEDICINE
- Sex differences in cardiovascular risk factors and disease prevention
- (2015) Yolande Appelman et al. ATHEROSCLEROSIS
- Enduring and Emerging Challenges of Informed Consent
- (2015) NEW ENGLAND JOURNAL OF MEDICINE
- The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts
- (2015) Brent Daniel Mittelstadt et al. SCIENCE AND ENGINEERING ETHICS
- Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection
- (2015) Constance D. Lehman et al. JAMA Internal Medicine
- Women and Coronary Heart Disease: A Century After Herrick
- (2012) Nanette K. Wenger CIRCULATION
- Drug—drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records
- (2012) Shobha Phansalkar et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Fair society, healthy lives
- (2012) M. Marmot et al. PUBLIC HEALTH
- Why The Nation Needs A Policy Push On Patient-Centered Health Care
- (2010) Ronald M. Epstein et al. HEALTH AFFAIRS
- Radiologist supply and workload: international comparison
- (2008) Yasuo Nakajima et al.
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started