Kalya Research: Complementary and Alternative Medicine (CAM) Virtual Research Assistant from Biomedical Literature

Abstract

Complementary and alternative medicines (CAM) become an emerging subject of interest both for users and health professionals. Rigorous studies identify efficient and safe methods for human health, frequently called by researchers, non-pharmacological interventions. The challenge is to determine relevant articles in a large and increasing volume of publications and journals. To meet this challenge, we created Kalya Research (KR), a medical assistant tool based on artificial intelligence that selects and characterizes CAM literature and bring support to medical researchers. Based on rule models and ontologies, KR can suggest relevant and recent CAM publications. It presents key indicators through analytical visualizations. KR has been compared to Medline by searching CAM literature concerning alopecia in breast cancer patients. It proves to be a relevant and time saver tool. Thus, KR is constantly evolving with the extensions to other health topics and the addition of new features such as text annotations.