rAIson

With rAIson, developers (doctors, technicians, administrative personnel, etc.) work at their application domain level by using their application expertise or knowledge to model their decision policies in their familiar application vocabulary (natural language). Decision making is accompanied by the related explanation with both attributive (why this choice is good in this context) and contrastive (why this decision is better than other possible ones) attributes.

rAIson guides the user to entering their knowledge in the system using natural language for the interaction. With rAIson, people are confident that their knowledge is secure as the system stores it in the database in the AWS professional cloud service. It is also confidential as they have full control on who it is shared with. Owners can share their projects with other editors or with their clients. The latter only have the right to ask questions and do not have access to the defined policy.

Three reasons for adopting rAIson

• Transform your personal use cases into applications

• Doing business by selling your applications to other users

• Collaborative application development for enterprises/hospital/research organizations

rAIson offers services beyond the capabilities of Generative AI (e.g. ChatGPT, etc.)

Example use cases for the health sector

• Medical Diagnostic Support. See the Gynaecological Artificial Intelligence Diagnostics (GAID) Tool for assisting a Specialist Doctor in a clinic: https://doi.org/10.3390/healthcare12020223

• Medical Data Access. See the Data Access Legislation Modeling for Cyprus: https://doi.org/10.1007/978-3-319-60045-1_34

• Automated policy enforcement. E.g. for potential misuse of consumables in hospital claims