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References from Opportunities and challenges of generative AI in the research lifecycle. Local targets link to admitted publications; unresolved targets remain external evidence.
Generative AI lacks the human creativity to achieve scientific discovery from scratch
10.1038/s41598-025-93794-9 · 2025 · External reference
Reproducible brain-wide association studies require thousands of individuals
10.1038/s41586-022-04492-9 · 2022 · External reference
Cross-sectional mega-analysis of resting-state alterations associated with autism and attention-deficit/hyperactivity disorder in children and adolescents
10.1038/s44220-025-00431-5 · 2025 · External reference
Beyond case-control study in neuroimaging for psychiatric disorders: Harmonizing and utilizing the brain images from multiple sites
10.1016/j.neubiorev.2025.106063 · 2025 · External reference
Estimating the heritability of developmental change in neural connectivity, and its association with changing symptoms of attention-deficit/hyperactivity disorder
10.1016/j.biopsych.2020.06.007 · 2021 · External reference
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
2025 · External reference
Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation
10.52202/075280-0943 · 2023 · External reference
Codemirage: Hallucinations in code generated by large language models
2024 · External reference
Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges
2025 · External reference
De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy
10.1007/s00330-025-11695-x · 2025 · External reference
Perspectives on Artificial Intelligence in Medical Publishing: A Survey of Medical Journal Editors
10.1097/fjc.0000000000001738 · 2025 · External reference
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
10.1093/bib/bbad493 · 2023 · External reference
Scientists Split on Ethics of AI Use
10.1038/d41586-025-01463-8 · 2025 · External reference
Galactica: A large language model for science
2022 · External reference
The use of artificial intelligence to improve the scientific writing of non-native english speakers
10.1590/1806-9282.20230560 · 2023 · External reference
ChatGPT revisited: Using ChatGPT-4 for finding references and editing language in medical scientific articles
10.1016/j.jormas.2024.101842 · 2024 · External reference
What are the best AI tools for research? Nature's guide
2025 · External reference
Writing with ChatGPT: An Illustration of its Capacity, Limitations & Implications for Academic Writers
10.5334/pme.1072 · 2023 · External reference
Artificial Intelligence to support publishing and peer review: A summary and review
10.1002/leap.1570 · 2023 · External reference
Artificial intelligence: Emergence and possible fraudulent use in medical publishing
10.1016/j.otsr.2023.103709 · 2023 · External reference
COPE position - Authorship and AI - English
External reference
Machine Learning
1997 · External reference
Evaluating the predictive capacity of ChatGPT for academic peer review outcomes across multiple platforms
10.1007/s11192-025-05287-1 · 2025 · External reference
Enhancing Academic Decision-Making: A Pilot Study of AI-Supported Journal Selection in Higher Education
10.1007/s10755-025-09791-3 · 2025 · External reference
Use of artificial intelligence in peer review among top 100 medical journals
10.1001/jamanetworkopen.2024.48609 · 2024 · External reference
Unlocking AI's untapped potential: responsible innovation in research and publishing
2025 · External reference
More than half of researchers now use AI for peer review — often against guidance
10.1038/d41586-025-04066-5 · 2026 · External reference
Artificial intelligence in peer review
10.1001/jama.2025.15827 · 2025 · External reference
Are we there yet? revealing the risks of utilizing large language models in scholarly peer review
2024 · External reference
Evaluating the potential risks of employing large language models in peer review
10.1002/ctd2.70067 · 2025 · External reference
Hidden prompts in manuscripts exploit ai-assisted peer review
10.31234/osf.io/nea5u_v2 · 2025 · External reference
Towards an AI co-scientist
2025 · External reference
The elements of statistical learning: data mining, inference, and prediction
2009 · External reference
Biomni: A general-purpose biomedical ai agent
10.1101/2025.05.30.656746 · 2025 · External reference
NeuroLibre: A preprint server for full-fledged reproducible neuroscience
10.31219/osf.io/h89js · 2022 · External reference
Toward a woven literature: Open-source infrastructure for networked scientific publishing
10.52294/001c.146072 · 2025 · External reference
The Denario project: Deep knowledge AI agents for scientific discovery
2025 · External reference
The ai scientist: Towards fully automated open-ended scientific discovery
2024 · External reference
Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review
10.1016/j.neubiorev.2012.01.004 · 2012 · External reference
Brain phenotyping in Moebius syndrome and other congenital facial weakness disorders by diffusion MRI morphometry
10.1093/braincomms/fcaa014 · 2020 · External reference
Attention is all you need
2017 · External reference
Language models are few-shot learners
2020 · External reference
Highly accurate protein structure prediction with AlphaFold
10.1038/s41586-021-03819-2 · 2021 · External reference
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
10.1039/d2sc05709c · 2023 · External reference