AI Medical Diagnostics identifies patterns, uses algorithms and data to give automated insights to healthcare professionals. …
The Knowledge Graph (KG) represents a collection of interlinked descriptions of entities – real-world objects and events ...Read more
Fast Healthcare Interoperability Resources (FHIR, pronounced “fire”) is a standard describing data formats and elements ...Read more
Medical Imaging is the technique and process of imaging the interior of a body for clinical analysis and medical intervention ...Read more
Natural Language Processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between ...Read more
InteroperabilityOur system is highly interoperable that works across multiple systems within healthcare service providers.
FlexibiltyIt allows developers and customers to rapidly build and scale the digital applications driving the future of healthcare on the platform of their choice.
SpeedOur system helps developers to quickly create and scale innovative apps. It allows users to deploy your electronic Patient Reported Outcomes (ePROs) in hours NOT days.
SecurityIt aims at improving healthcare data security, opens the lines of communication for the privacy and security teams, allowing them to work more closely together.
Over the next few years, Artificial Intelligence (AI) will revolutionize healthcare industry and its potential of improving healthcare system is "staggering". AI will not replace doctors but augment them by minimizing any potential misdiagnosis and improve the accuracy of medical diagnosis.
- Dr. Suresh Manandhar, CEO - Wiseyak