Validation metrics are key for tracking scientific progress and bridging the current chasm
between artificial intelligence research and its translation into practice. However, increasing …

Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an
underestimated global problem. In biomedical image analysis, chosen performance metrics …

Effectively monitoring and analyzing on-site module installation for modular integrated
construction (MiC) is essential to properly coordinating the MiC process. In this study, the …

Accurate identification and localization of anatomical structures of varying size and
appearance in laparoscopic imaging are necessary to leverage the potential of computer …

Colorectal cancer is one of the leading death causes worldwide, but, fortunately, early
detection highly increases survival rates, with the adenoma detection rate being one …

Validation metrics are key for tracking scientific progress and bridging the current chasm
between artificial intelligence (AI) research and its translation into practice. However …

Ischemic stroke has a very high mortality and disability rate, and intracranial artery stenosis
is an important cause of ischemic stroke. At present, transvascular interventional surgery is …

ABSTRACT AI-powered image analysis and pattern recognition algorithms (IAPRA) are
renowned for their capacity to identify concrete flaws, assess strength characteristics, and …