Artificial intelligence (AI) algorithms hold the potential to revolutionize radiology. However, a
significant portion of the published literature lacks transparency and reproducibility, which …

Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …

Generative artificial intelligence (AI) has been applied to images for image quality
enhancement, domain transfer, and augmentation of training data for AI modeling in various …

Respiratory audio, such as coughing and breathing sounds, has predictive power for a wide
range of healthcare applications, yet is currently under-explored. The main problem for …

Computational models that require very little data could transform biomedical and drug
development research in Africa, as long as infrastructure, trained staff and secure databases …

This study introduces the Federated Medical Knowledge Injection (FEDMEKI) platform, a
new benchmark designed to address the unique challenges of integrating medical …

Transforming Cancer Research through Informatics | Cancer Discovery | American Association
for Cancer Research Skip to Main Content Advertisement Umbrella Alt Text Umbrella Alt Text …

Current predictive biomarkers generally leverage technologies such as immunohis-
tochemistry or genetic analysis, which may require specialized equipment, be time-intensive …

While omics has transformed the study of biology, concomitant advances made at the level
of the whole organism, ie the phenome, have arguably not kept pace with lower levels of …

Natural language processing (NLP) is difficult because human language contains ambiguity.
The same word can have a different meaning depending on the context and may result in …