Our patent pending multimodal approach looks at audio, video, and language signals to offer objective assessments that clinicians can rely on.
Using AI techniques like machine learning (ML) and Natural Language Processing (NLP) to examine these signals in isolation and as an aggregated pool of data, Aiberry provides greater accuracy , augmenting a clinician’s capacity, and accelerating time-to-insight.
Our cloud-hosted, end-to-end architecture uses an array of plug-and-play components to extract data from voice and video recordings. The multimodal data is analyzed using early and late fusion ML models. This level of transparency not only helps test and improve our algorithms and corroborate our results, but also provides critical insights into the AI/ML decision making process.
Behavioral health related illnesses have reached epidemic proportions, further taxing an already fragile system of care. Aiberry offers providers and health systems measurable value across the care continuum.
