Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …

Background/objectives In the current scenario, artificial intelligence (AI) is going to change
almost all the areas of the medical field. The need is to study the research carried out in this …

Deep learning applied to whole‐slide histopathology images (WSIs) has the potential to
enhance precision oncology and alleviate the workload of experts. However, develo** …

Abstract Objectives The HL7® fast healthcare interoperability resources (FHIR®)
specification has emerged as the leading interoperability standard for the exchange of …

Background Both medical care and observational studies in oncology require a thorough
understanding of a patient's disease progression and treatment history, often elaborately …

Objective Accurate extraction of breast cancer patients' phenotypes is important for clinical
decision support and clinical research. This study developed and evaluated cancer domain …

Current models for correlating electronic medical records with-omics data largely ignore
clinical text, which is an important source of phenotype information for patients with cancer …

Background Extracting information from free texts using natural language processing (NLP)
can save time and reduce the hassle of manually extracting large quantities of data from …

PURPOSE The advancement of natural language processing (NLP) has promoted the use
of detailed textual data in electronic health records (EHRs) to support cancer research and …

Extending the OMOP Common Data Model and Standardized Vocabularies to Support
Observational Cancer Research - PMC Skip to main content Here's how you know Official …