AI Medical Compendium Journal:
Journal of the National Cancer Institute

Showing 1 to 10 of 19 articles

Prostate cancer clinicopathological presentation in South-East Africa during the 2010 decade.

Journal of the National Cancer Institute
Prostate cancer (PCa) is the leading cause of cancer-associated death amongst men across Sub-Saharan Africa, with Southern and East Africa ranking 1st and 5th globally. However, lack of coordinated National cancer registries has biased data towards s...

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

Journal of the National Cancer Institute
Novel screening and diagnostic tests based on artificial intelligence (AI) image recognition algorithms are proliferating. Some initial reports claim outstanding accuracy followed by disappointing lack of confirmation, including our own early work on...

Overcoming the challenges to implementation of artificial intelligence in pathology.

Journal of the National Cancer Institute
Pathologists worldwide are facing remarkable challenges with increasing workloads and lack of time to provide consistently high-quality patient care. The application of artificial intelligence (AI) to digital whole-slide images has the potential of d...

Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis.

Journal of the National Cancer Institute
BACKGROUND: The aim of this study is to provide a comprehensive understanding of the current landscape of artificial intelligence (AI) for cancer clinical trial enrollment and its predictive accuracy in identifying eligible patients for inclusion in ...

Deep Learning vs Traditional Breast Cancer Risk Models to Support Risk-Based Mammography Screening.

Journal of the National Cancer Institute
BACKGROUND: Deep learning breast cancer risk models demonstrate improved accuracy compared with traditional risk models but have not been prospectively tested. We compared the accuracy of a deep learning risk score derived from the patient's prior ma...