Evolution of Research Reporting Standards: Adapting to the Influence of Artificial Intelligence, Statistics Software, and Writing Tools

Journal of Korean Medical Science, Journal Year: 2024, Volume and Issue: 39(32)

Published: Jan. 1, 2024

Reporting standards are essential to health research as they improve accuracy and transparency. Over time, significant changes have occurred the requirements for reporting ensure comprehensive transparent across a range of study domains foster methodological rigor. The establishment Declaration Helsinki, Consolidated Standards Trials (CONSORT), Strengthening Observational Studies in Epidemiology (STROBE), Preferred Items Systematic Reviews Meta-Analysis (PRISMA) just few historic initiatives that increased Through enhanced discoverability, statistical analysis facilitation, article quality enhancement, language barrier reduction, artificial intelligence (AI)-in particular, large models like ChatGPT-has transformed academic writing. However, problems with errors could occur need transparency while utilizing AI tools still exist. Modifying rules include AI-driven writing such ChatGPT is ethically practically challenging. In writing, precautions truth, privacy, responsibility necessary due concerns about biases, openness, data limits, potential legal ramifications. CONSORT-AI Standard Protocol Items: Recommendations Interventional (SPIRIT)-AI Steering Group expands CONSORT guidelines clinical trials-new checklists METRICS CLEAR help promote studies. Responsible usage technology software adoption requires interdisciplinary collaboration ethical assessment. This explores impact technologies, specifically ChatGPT, on past revised open, reproducible, robust scientific publications.

Language: Английский

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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!

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(1)

Published: Jan. 1, 2024

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

Language: Английский

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

Archaeometry, Journal Year: 2024, Volume and Issue: 66(3), P. 696 - 717

Published: Jan. 4, 2024

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

Language: Английский

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

Journal of Korean Medical Science, Journal Year: 2023, Volume and Issue: 39

Published: Dec. 28, 2023

Language: Английский

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