标题
Fairness of artificial intelligence in healthcare: review and recommendations
作者
关键词
-
出版物
Japanese Journal of Radiology
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-08-04
DOI
10.1007/s11604-023-01474-3
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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.
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now