Towards equitable AI in oncology

VS Viswanathan, V Parmar… - Nature Reviews Clinical …, 2024 - nature.com
Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with
considerable potential to improve early cancer detection and risk assessment, and to enable …

Practical Application of Deep Learning in Diagnostic Neuropathology—Reimagining a Histological Asset in the Era of Precision Medicine

K Rich, K Tosefsky, KC Martin, A Bashashati, S Yip - Cancers, 2024 - mdpi.com
Simple Summary Technological and scientific innovations, from genetic sequencing to
digital pathology slide scanners, have drastically altered the field of neuropathology. The …

Multimodal Prototyping for cancer survival prediction

AH Song, RJ Chen, G Jaume, AJ Vaidya… - arXiv preprint arXiv …, 2024 - arxiv.org
Multimodal survival methods combining gigapixel histology whole-slide images (WSIs) and
transcriptomic profiles are particularly promising for patient prognostication and stratification …

Bias in Histopathology Datasets: A Comprehensive Investigation on Possible Factors

F Kheiri, S Rahnamayan, M Makrehchi, AA Bidgoli - 2024 - researchsquare.com
Abstract Deep Neural Networks (DNNs) have demonstrated remarkable capabilities in
medical applications, including digital pathology, where they excel at analyzing complex …