Conversational AI

Reproducing an empathetic conversation with the patient

Real world assessment conditions

Patient involvement & active collaboration

Exchange on emotions, thoughts, behaviors, quality of life

Continuous assessment

Technical & Medical expertise

Identification & analysis of conversation key information

Automatic medical questionnaire filling (SF36, PBPI, …)

Personalized Patient Program

Behavioral science

Motivational strategies

Our research

  • #EMNLP2021

    Publication demonstrating that our conversational AI produces as good data as validated medical questionnaires, without the constraint to fill them up on a regular basis !

  • #NAACL2021

    #ComBot, a combination of chatbots for monitoring patients' quality of life. Chatbots are efficient in a given scope, but encounter limits when patients insights are complex and very personal. To capture weak signals and non-programmed information, Aliae is developping an assemblage of 3 chatbots (#ComBot) which all together lead to a better understanding of patient insights, and in a flexible and user-friendly way, ensuring a better engagement over time.

  • #COLING2020

    "Today, to build patient-machine dialogues with AI, there is very little data available (contrary to AI applied to medical imaging for example). Our challenge was therefore to demonstrate that it is possible to get around this constraint, which we succeeded in doing with techniques called "paraphrasing". This is a natural language processing task that consists in generating new samples of dialogues that feed our learning system so that it interacts better, and in a personalized way for the patient. "