Custom clinical AI tools
Configure Ad-Infer’s domain knowledge, inferential rules and integrated language functions around a defined clinical or research question.
Custom clinical AI tools
EVALRI develops customized clinical assessment tools built on the Ad-Infer architecture. Applications can be configured for sleep, mental health, neurology, gastrointestinal disorders, respiratory conditions, pain, function, and other research domains.
Each application combines a structured knowledge base, adaptive questioning, explicit clinical rules, fuzzy representation of symptoms, and longitudinal reasoning. The result can support screening, detailed phenotyping, repeated assessment, and research reporting within one coherent framework.
The integrated LLM supports standardized questioning, clarification, translation and explanations under the direction of Ad-Infer’s inferential engine. Returned information is re-evaluated by EVAL-KBS and can strengthen a positive diagnosis, modify a belief state or redirect differential reasoning.
Configured within the Ad-Infer architecture
Domain knowledge
Concepts, questions, diagnostic criteria, exclusions, clinical context and temporal relationships.
Sleep-EVAL provides the sleep-disorders knowledge base.
EVAL-KBS
Inference & learning
Type-2 causal reasoning, fuzzy evaluation, neural and deep-learning processes, and Bayesian belief updating.
Directs the interview, evaluates evidence and retains diagnostic authority.
Integrated LLM
Standardized questioning, reformulation, clarification, translation and explanations of why a question is asked.
Interprets new information in relation to direct and indirect clinical causality.
Explore the inferential framework
See how Ad-Infer links clinical knowledge, causal reasoning, integrated language functions and longitudinal evidence.