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There is a blind spot in AI research

Nature (London), 2016-10, Vol.538 (7625), p.311-313

2016

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Group to establish standards for AI in papers

Science (American Association for the Advancement of Science), 2024-04, Vol.384 (6693), p.261-261

Else, Holly

2024

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Clinical, Legal, and Ethical Aspects of Artificial Intelligence-Assisted Conversational Agents in Health Care

JAMA : the journal of the American Medical Association, 2020-08, Vol.324 (6), p.552

2020

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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

The Journal of pathology, 2019-11, Vol.249 (3), p.286-294

2019

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Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Applied intelligence (Dordrecht, Netherlands), 2021-02, Vol.51 (2), p.854-864

2021

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ChatGPT listed as author on research papers: many scientists disapprove

Nature (London), 2023-01, Vol.613 (7945), p.620-621

Stokel-Walker, Chris

2023

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Tools such as ChatGPT threaten transparent science; here are our ground rules for their use

Nature (London), 2023-01, Vol.613 (7945), p.612-612

2023

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Machine behaviour

Nature (London), 2019-04, Vol.568 (7753), p.477-486

2019

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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Medical image analysis, 2022-07, Vol.79, p.102470-102470, Article 102470

2022

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Explainable artificial intelligence: a comprehensive review

The Artificial intelligence review, 2022-06, Vol.55 (5), p.3503-3568

2022

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Stockholm declaration on AI ethics: why others should sign

Nature (London), 2024-02, Vol.626 (8000), p.716

2024

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Four ethical priorities for neurotechnologies and AI

Nature (London), 2017-11, Vol.551 (7679), p.159-163

2017

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Will China lead the world in AI by 2030?

Nature (London), 2019-08, Vol.572 (7770), p.427-428

O'Meara, Sarah

2019

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Art and the science of generative AI

Science (American Association for the Advancement of Science), 2023-06, Vol.380 (6650), p.1110-1111

2023

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Deep learning based detection and analysis of COVID-19 on chest X-ray images

Applied intelligence (Dordrecht, Netherlands), 2021-03, Vol.51 (3), p.1690-1700

2021

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A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

Applied intelligence (Dordrecht, Netherlands), 2020-11, Vol.50 (11), p.3913-3925

2020

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Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

Applied intelligence (Dordrecht, Netherlands), 2021-01, Vol.51 (1), p.571-585

2021

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Learning state importance for preference-based reinforcement learning

Machine learning, 2024-04, Vol.113 (4), p.1885-1901

2024

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The Open Images Dataset V4: Unified Image Classification, Object Detection, and Visual Relationship Detection at Scale

International journal of computer vision, 2020-07, Vol.128 (7), p.1956-1981

2020

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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International journal of computer vision, 2020-02, Vol.128 (2), p.336-359

2020

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Scientific discovery in the age of artificial intelligence

Nature (London), 2023-08, Vol.620 (7972), p.47-60

2023

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Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays

Applied intelligence (Dordrecht, Netherlands), 2021-05, Vol.51 (5), p.2777-2789

2021

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A survey of the recent architectures of deep convolutional neural networks

The Artificial intelligence review, 2020-12, Vol.53 (8), p.5455-5516

2020

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Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

The Artificial intelligence review, 2019-06, Vol.52 (1), p.77-124

2019

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There is a blind spot in AI research

Group to establish standards for AI in papers

Clinical, Legal, and Ethical Aspects of Artificial Intelligence-Assisted Conversational Agents in Health Care

Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

ChatGPT listed as author on research papers: many scientists disapprove

Tools such as ChatGPT threaten transparent science; here are our ground rules for their use

Machine behaviour

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Explainable artificial intelligence: a comprehensive review

Stockholm declaration on AI ethics: why others should sign

Four ethical priorities for neurotechnologies and AI

Will China lead the world in AI by 2030?

Art and the science of generative AI

Deep learning based detection and analysis of COVID-19 on chest X-ray images

A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

Learning state importance for preference-based reinforcement learning

The Open Images Dataset V4: Unified Image Classification, Object Detection, and Visual Relationship Detection at Scale

Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Scientific discovery in the age of artificial intelligence

Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays

A survey of the recent architectures of deep convolutional neural networks

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

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