The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …

In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …

Motivation Annotation tools are applied to build training and test corpora, which are
essential for the development and evaluation of new natural language processing …

Natural language processing (NLP) is a set of automated methods to organise and evaluate
the information contained in unstructured clinical notes, which are a rich source of real-world …

Abstract Background The Promoting Action on Research Implementation in Health Services
(PARIHS) framework was developed two decades ago and conceptualizes successful …

The widespread use of electronic health records (EHR) systems in health care provides a
large amount of real-world data, leading to new areas for clinical research. Natural language …

As the world produces exabytes of data, there is a growing need to find new methods that
are more suitable for dealing with complex datasets. Artificial intelligence (AI) has significant …

The multitude of multi-omics data generated cost-effectively using advanced high-
throughput technologies has imposed challenging domain for research in Artificial …

The artificial intelligence (AI) revolution is well underway, including in the medical field, and
has dramatically transformed our lives. An understanding of the basics of AI applications …