In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …

High-throughput methods to investigate tumour omic landscapes have quickly catapulted
cancer specialists into the precision oncology era. The singular lesson of precision oncology …

Abstract Vision Transformers (ViTs) and their multi-scale and hierarchical variations have
been successful at capturing image representations but their use has been generally …

Despite increasing numbers of regulatory approvals, deep learning-based computational
pathology systems often overlook the impact of demographic factors on performance …

Cancer research currently is heavily skewed toward high-income countries (HICs), with little
research conducted in, and relevant to, the problems of low-and middle-income countries …

PURPOSE An ASCO provisional clinical opinion offers timely clinical direction to ASCO's
membership following publication or presentation of potentially practice-changing data from …

There are well-established disparities in cancer incidence and outcomes by race/ethnicity
that result from the interplay between structural, socioeconomic, socio-environmental …

Prostate cancer is a global health problem, but incidence varies considerably across
different continents. Asia is traditionally considered a low-incidence area, but the incidence …

Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …

Mutations play a fundamental role in the development of cancer, and many create targetable
vulnerabilities. There are both public health and basic science benefits from the …