Let's Look on the Bright Side of ChatGPT

Yoo, Jin‐Hong

doi:10.3346/jkms.2023.38.e231

J Korean Med Sci

2023

DOI: 10.3346/jkms.2023.38.e231

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Let's Look on the Bright Side of ChatGPT

Jin‐Hong Yoo

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2024

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Cited by 4 publications

(1 citation statement)

References 15 publications

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“…As we delve into cutting-edge topics, including those related to artificial intelligence, which may shape the future, we commit to actively addressing these subjects. 8 …”

mentioning

confidence: 99%

An Inaugural Message From the 7^th Editor-in-Chief

Yoo

2024

J Korean Med Sci

Self Cite

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“…As we delve into cutting-edge topics, including those related to artificial intelligence, which may shape the future, we commit to actively addressing these subjects. 8 …”

mentioning

confidence: 99%

An Inaugural Message From the 7^th Editor-in-Chief

Yoo

2024

J Korean Med Sci

Self Cite

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Applications and implementation of generative artificial intelligence in cardiovascular imaging with a focus on ethical and legal considerations: what cardiovascular imagers need to know!

Marey,

Serdysnki,

Killeen

et al. 2024

BJR|Artificial Intelligence

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Artificial intelligence (AI) has emerged as a prominent field in computer science. Machine learning (ML) and deep learning (DL) have potential applications in medicine. This overview explores the applications of artificial intelligence (AI) in cardiovascular imaging, focusing on echocardiography, cardiac magnetic resonance imaging (CMR), coronary CT angiography (CCTA), and CT morphology and function. AI, particularly deep learning (DL) approaches like convolutional neural networks (CNNs), enhances standardization and reduces operator-dependent variations in echocardiography. In CMR, undersampling techniques and DL-based reconstruction methods, such as variational neural networks (VNNs), improve efficiency and accuracy. ML in CCTA aids in diagnosing coronary artery disease, assessing stenosis severity, and analyzing plaque characteristics. Automatic segmentation of cardiac structures and vessels using AI is discussed, along with its potential in congenital heart disease diagnosis and 3D printing applications. Overall, AI integration in cardiovascular imaging shows promise for enhancing diagnostic accuracy and efficiency across modalities. The growing use of Generative Adversarial Networks in cardiovascular imaging brings substantial advancements but raises ethical concerns. The "black box" problem in deep learning models poses challenges for interpretability crucial in clinical practice. Evaluation metrics like ROC curves, image quality, clinical relevance, diversity, and quantitative performance assess GAI models. Automation bias highlights the risk of unquestioned reliance on AI outputs, demanding careful implementation and ethical frameworks. Ethical considerations involve transparency, respect for persons, beneficence, and justice, necessitating standardized evaluation protocols. Health disparities emerge if AI training lacks diversity, impacting diagnostic accuracy. AI language models, like GPT-4, face hallucination issues, posing ethical and legal challenges in healthcare. Regulatory frameworks and ethical governance are crucial for fair and accountable AI, addressing discrimination while preserving privacy. Ongoing research and development are vital to evolving AI ethics and ensuring ethical data handling in healthcare.

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Evaluating ChatGPT as a viable research tool for typological investigations of cultural heritage artefacts—Roman clay oil lamps

Lapp,

Lapp

2024

Archaeometry

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This study evaluates the current viability of ChatGPT as a research tool in lychnology, a discipline of archaeology focusing on the study of light use and lamps in antiquity. Prompts applicable to a common cultural heritage artifact group—the Roman clay oil lamp—were entered in ChatGPT to test its capabilities in compiling, categorizing, describing, and identifying lamp types, and to assess how accurate, detailed, and knowledgeable its responses would be.

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Let's Look on the Bright Side of ChatGPT

Cited by 4 publications

References 15 publications

An Inaugural Message From the 7^th Editor-in-Chief

An Inaugural Message From the 7^th Editor-in-Chief

Applications and implementation of generative artificial intelligence in cardiovascular imaging with a focus on ethical and legal considerations: what cardiovascular imagers need to know!

Evaluating ChatGPT as a viable research tool for typological investigations of cultural heritage artefacts—Roman clay oil lamps

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Let's Look on the Bright Side of ChatGPT

Cited by 4 publications

References 15 publications

An Inaugural Message From the 7th Editor-in-Chief

An Inaugural Message From the 7th Editor-in-Chief

Applications and implementation of generative artificial intelligence in cardiovascular imaging with a focus on ethical and legal considerations: what cardiovascular imagers need to know!

Evaluating ChatGPT as a viable research tool for typological investigations of cultural heritage artefacts—Roman clay oil lamps

Contact Info

Product

Resources

About

An Inaugural Message From the 7^th Editor-in-Chief

An Inaugural Message From the 7^th Editor-in-Chief