At AiCure, every dose matters.
Failed trials & overwhelming healthcare costs
30% of clinical trials fail and millions of
high-risk patients are hospitalized each year
due to poor medication adherence.
Invisible patient behavior
90% of patient behavior remains unknown
in outpatient settings.
A visual journey with the patient
AiCure accurately captures, analyzes
and impacts behavior through
artificial intelligence.
The new gold standard
Pharmaceutical companies and health
systems are using AiCure to drive successful
trials and improve health outcomes.
How the AI platform works
Our Artificial Intelligence platform
recognition
Automatic medication
identification
Real-time ingestion
confirmation
Fraud and duplicate
enrollment detection
No video review
is needed
Download application
onto any smartphone
Analytics allow for
pre-emptive intervention
Assistive technology for
greater patient engagement
Testimonials
Clinical Evidence
%
Increase in Drug Concentration Levels
in stroke patients on DOACs
post-discharge1
%
Mean Cumulative Pharmacokinetic Adherence
over 24 weeks across indications2
%
Treatment Completion Rates
in patients with hepatitis C and tuberculosis3
As seen on
- Labovitz, et al. Using Artificial Intelligence to Measure and Optimize Adherence in Patients on Anticoagulation Therapy. Stroke. 2017 May.
- Bain EE, et al. Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects with Schizophrenia. JMIR Mhealth Uhealth. 2017 Feb 21;5(2):e18
- Shafner L, et al. Evaluating the Use of an Artificial Intelligence (AI) Platform on Mobile Devices to Measure and Support Tuberculosis Medication Adherence. Presented during the 21st Conference of The Union North America Region, 22-25 February, 2017. 6Chuang-Stein C, et al. The Impact of Adherence on Statistical Power. 2016. AiCure.