Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare
出版年份 2022 全文链接
标题
Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare
作者
关键词
-
出版物
Cell Reports Medicine
Volume 3, Issue 12, Pages 100860
出版商
Elsevier BV
发表日期
2022-12-12
DOI
10.1016/j.xcrm.2022.100860
参考文献
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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。- A review of some techniques for inclusion of domain-knowledge into deep neural networks
- (2022) Tirtharaj Dash et al. Scientific Reports
- Using artificial intelligence methods for systematic review in health sciences: A systematic review
- (2022) Aymeric Blaizot et al. Research Synthesis Methods
- Intuitive physics learning in a deep-learning model inspired by developmental psychology
- (2022) Luis S. Piloto et al. Nature Human Behaviour
- Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study
- (2021) Juan Carlos Quiroz et al. JMIR Medical Informatics
- The Clinician and Dataset Shift in Artificial Intelligence
- (2021) Samuel G. Finlayson et al. NEW ENGLAND JOURNAL OF MEDICINE
- Mobile health and privacy: cross sectional study
- (2021) Gioacchino Tangari et al. BMJ-British Medical Journal
- Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases
- (2021) Ania Syrowatka et al. npj Digital Medicine
- A review of uncertainty quantification in deep learning: Techniques, applications and challenges
- (2021) Moloud Abdar et al. Information Fusion
- Breathing life into Australian diabetes clinical guidelines
- (2020) Heath White et al. MEDICAL JOURNAL OF AUSTRALIA
- The three numbers you need to know about healthcare: the 60-30-10 Challenge
- (2020) Jeffrey Braithwaite et al. BMC Medicine
- A full systematic review was completed in 2 weeks using automation tools: a case study
- (2020) Justin Clark et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning
- (2020) Sidong Liu et al. Scientific Reports
- Reporting quality of studies using machine learning models for medical diagnosis: a systematic review
- (2020) Mohamed Yusuf et al. BMJ Open
- Identifying relevant information in medical conversations to summarize a clinician-patient encounter
- (2020) Juan C Quiroz et al. Health Informatics Journal
- Transparency and reproducibility in artificial intelligence
- (2020) Benjamin Haibe-Kains et al. NATURE
- Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
- (2020) Samantha Cruz Rivera et al. BMJ-British Medical Journal
- Artificial intelligence, bias and clinical safety
- (2019) Robert Challen et al. BMJ Quality & Safety
- Machine learning in clinical practice: prospects and pitfalls
- (2019) Ian A Scott et al. MEDICAL JOURNAL OF AUSTRALIA
- The Last Mile: Where Artificial Intelligence Meets Reality
- (2019) Enrico Coiera JOURNAL OF MEDICAL INTERNET RESEARCH
- Responses of Conversational Agents to Health and Lifestyle Prompts: An Investigation of Appropriateness and Presentation Structures (Preprint)
- (2019) Ahmet Baki Kocaballi et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Improving the Conduct of Systematic Reviews: A Process Mining Perspective
- (2018) Ba’ Pham et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Conversational agents in healthcare: a systematic review
- (2018) Liliana Laranjo et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Does health informatics have a replication crisis?
- (2018) Enrico Coiera et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Changing how we think about healthcare improvement
- (2018) Jeffrey Braithwaite BMJ-British Medical Journal
- Changing how we think about healthcare improvement
- (2018) Jeffrey Braithwaite BMJ-British Medical Journal
- Safety of patient-facing digital symptom checkers
- (2018) Hamish Fraser et al. LANCET
- Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
- (2018) Xiangchun Li et al. LANCET ONCOLOGY
- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Unintended Consequences of Machine Learning in Medicine
- (2017) Federico Cabitza et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Efficiency and safety of speech recognition for documentation in the electronic health record
- (2017) Tobias Hodgson et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations
- (2017) Jonathan H. Chen et al. NEW ENGLAND JOURNAL OF MEDICINE
- Automation bias and verification complexity: a systematic review
- (2016) David Lyell et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Risks and benefits of speech recognition for clinical documentation: a systematic review
- (2015) Tobias Hodgson et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials
- (2015) Iain J Marshall et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Risk of Bias in Reports of In Vivo Research: A Focus for Improvement
- (2015) Malcolm R. Macleod et al. PLOS BIOLOGY
- Bringing cohort studies to the bedside: framework for a ‘green button’ to support clinical decision-making
- (2015) Blanca Gallego et al. Journal of Comparative Effectiveness Research
- Screening for Cervical Cancer Using Automated Analysis of PAP-Smears
- (2014) Ewert Bengtsson et al. Computational and Mathematical Methods in Medicine
- Reducing waste from incomplete or unusable reports of biomedical research
- (2014) Paul Glasziou et al. LANCET
- Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap
- (2014) Julian H. Elliott et al. PLOS MEDICINE
- A system-wide approach to explaining variation in potentially avoidable emergency admissions: national ecological study
- (2013) Alicia O'Cathain et al. BMJ Quality & Safety
- The automation of systematic reviews
- (2013) G. Tsafnat et al. BMJ-British Medical Journal
- Role of electronic health records in comparative effectiveness research
- (2013) Blanca Gallego et al. Journal of Comparative Effectiveness Research
- The case for randomized controlled trials to assess the impact of clinical information systems
- (2011) J. L. Y. Liu et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Using FDA reports to inform a classification for health information technology safety problems
- (2011) Farah Magrabi et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Systematic evaluation of implementation fidelity of complex interventions in health and social care
- (2010) Henna Hasson Implementation Science
- An analysis of computer-related patient safety incidents to inform the development of a classification
- (2010) Farah Magrabi et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Comparison of Registered and Published Primary Outcomes in Randomized Controlled Trials
- (2009) Sylvain Mathieu JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- What is “quality of evidence” and why is it important to clinicians?
- (2008) Gordon H Guyatt et al. BMJ-British Medical Journal
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