Radiomics beyond the hype: a critical evaluation toward oncologic clinical use
Radiomics is a promising and fast-develo** field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …
of quantitative high-dimensional data from medical images. Radiomics has the potential to …
The accuracy and quality of image-based artificial intelligence for muscle-invasive bladder cancer prediction
C He, H Xu, E Yuan, L Ye, Y Chen, J Yao, B Song - Insights into Imaging, 2024 - Springer
Purpose To evaluate the diagnostic performance of image-based artificial intelligence (AI)
studies in predicting muscle-invasive bladder cancer (MIBC).(2) To assess the reporting …
studies in predicting muscle-invasive bladder cancer (MIBC).(2) To assess the reporting …
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Purpose To propose a new quality scoring tool, METhodological RadiomICs Score
(METRICS), to assess and improve research quality of radiomics studies. Methods We …
(METRICS), to assess and improve research quality of radiomics studies. Methods We …
[HTML][HTML] Consolidated reporting guidelines for prognostic and diagnostic machine learning modeling studies: development and validation
Background The reporting of machine learning (ML) prognostic and diagnostic modeling
studies is often inadequate, making it difficult to understand and replicate such studies. To …
studies is often inadequate, making it difficult to understand and replicate such studies. To …
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
K Lekadir, A Feragen, AJ Fofanah, AF Frangi… - ar** machine learning models for predicting cardiovascular diseases: challenge and solutions
YQ Cai, DX Gong, LY Tang, Y Cai, HJ Li… - Journal of Medical …, 2024 - jmir.org
In recent years, there has been explosive development in artificial intelligence (AI), which
has been widely applied in the health care field. As a typical AI technology, machine …
has been widely applied in the health care field. As a typical AI technology, machine …
Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …
prediction tasks, their integration into medical practice may present a double-edged sword …
Towards reproducible radiomics research: introduction of a database for radiomics studies
Objectives To investigate the model-, code-, and data-sharing practices in the current
radiomics research landscape and to introduce a radiomics research database. Methods A …
radiomics research landscape and to introduce a radiomics research database. Methods A …
Towards reproducible radiomics research: introduction of a database for radiomics studies
Objectives To investigate the model-, code-, and data-sharing practices in the current
radiomics research landscape and to introduce a radiomics research database. Methods A …
radiomics research landscape and to introduce a radiomics research database. Methods A …