AI augmented automated medical history in many languages
Automated chart the way medical professionals like it
Easy integration to your clinical ecosystem or app via API or standalone solution
Extensive reporting and statistical tracking by admin user. Get to know your patients better. Get alerts when abnormal trends in pathologies arise.
16 000+ articles reviewed
Automated Triage Score
Extracted from the automated history and optionally the patient's vitals, a triage score based on the CTAS is outputted, making sure you better prioritize your patients.
DXA triage score is shown based on its differential diagnosis, rendering triage more accurate and safer. Never miss a potentially dangerous diagnosis.
DXA (Diagnostic Assistant) was developed by physicians for physicians. We have combined 2.5+ years of R&D with experts and 16000+ articles reviewed and combined it with machine learning and algorithms to obtain superior results. Medical professionals + DXA's algorithm = efficient healthcare and better patient outcomes.
DXA is very accurate and focuses on taking a complete medical history, no matter the chief complaint, in 3 to 5 minutes. This gives the medical team useful and actionable data to follow up on.
Priority 1 to 5
Natural Language Processing
The chief complaint is derived from the patient entering a short sentence. With state of the art Artificial Neural Networks, our Natural Language Processing (NLP) engine streamlines the process. Fast. Accurate.
Built by Doctors and healthcare professionals to help them take better care of their patients in any environment, from ER to clinics and virtual care settings.
Flexible integration possibilities, continuous improvement from anonymized data and machine learning.
We are a Montreal based team passionate about healthcare and leveraging new technologies to provide safer and more efficient
Julien Martel, md & Founder
AI developer @ ml.plus
Jonah Davies, md & Founder
Alexandre Tratch, md & Founder
ER physician and Data Scientist
Louis Charbonneau, md & Founder
Lead AI @ ml.plus