[HTML][HTML] Overcoming the challenges in the development and implementation of artificial intelligence in radiology: a comprehensive review of solutions beyond …

GS Hong, M Jang, S Kyung, K Cho… - Korean Journal of …, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective
clinical studies demonstrating its benefits in clinical practice. In 2022, the Korean Society of …

Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM

B Kocak, A Keles, T Akinci D'Antonoli - European Radiology, 2024 - Springer
Objective To evaluate the usage of a well-known and widely adopted checklist, Checklist for
Artificial Intelligence in Medical imaging (CLAIM), for self-reporting through a systematic …

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

B Kocak, T Akinci D'Antonoli, N Mercaldo… - Insights into …, 2024 - Springer
Purpose To propose a new quality scoring tool, METhodological RadiomICs Score
(METRICS), to assess and improve research quality of radiomics studies. Methods We …

Artificial intelligence–based image analysis in clinical testing: lessons from cervical cancer screening

D Egemen, RB Perkins, LC Cheung… - JNCI: Journal of the …, 2024 - academic.oup.com
Novel screening and diagnostic tests based on artificial intelligence (AI) image recognition
algorithms are proliferating. Some initial reports claim outstanding accuracy followed by …

Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research

AS Tejani, ME Klontzas, AA Gatti, J Mongan… - Nature Machine …, 2023 - nature.com
The Checklist for Artificial Intelli-gence in Medical Imaging (CLAIM) promotes transparent
and reproducible reporting of artificial intelligence (AI) research in medical imaging, and has …

Self-reported checklists and quality scoring tools in radiomics: a meta-research

B Kocak, T Akinci D'Antonoli, E Ates Kus, A Keles… - European …, 2024 - Springer
Objective To evaluate the use of reporting checklists and quality scoring tools for self-
reporting purposes in radiomics literature. Methods Literature search was conducted in …

[PDF][PDF] Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

B Koçak, A Ponsiglione, A Stanzione… - Diagn Interv …, 2024 - researchgate.net
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …

Standardisation and harmonisation efforts in quantitative imaging

A Zwanenburg - European Radiology, 2023 - Springer
Peel 500 grams of potatoes; cover potatoes in sufficient water and bring to boil; when the
water boils, reduce heat and keep simmering for 20 minutes; drain potatoes and serve. By …

The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study

J Zhong, Y Xing, J Lu, G Zhang, S Mao, H Chen… - BMC Medical Research …, 2023 - Springer
Background Complete reporting is essential for clinical research. However, the endorsement
of reporting guidelines in radiological journals is still unclear. Further, as a field extensively …

Potential applications of artificial intelligence in image analysis in cornea diseases: a review

KY Tey, EZK Cheong, M Ang - Eye and Vision, 2024 - Springer
Artificial intelligence (AI) is an emerging field which could make an intelligent healthcare
model a reality and has been garnering traction in the field of medicine, with promising …