Patients quickly fill tailor-made intake forms, seamlessly upload test results and interact with AI to provide comprehensive and structured information to doctors.
Doctors get AI Medical Report, predictive modeling on disease evolution and clinical recommendations based on latest institutional standards to ease documentation and provide world-class care to patients.
Patients
Doctors
Institutions
CEO
CSO
Radiation Oncologist (APHP)
CTO
Lead advisor
Radiation Oncologist (Stanford)
jaide develops an intelligent clinical assistant that accompanies doctors in their daily practice. The solution enables healthcare providers to automate note-taking and generation of medical reports using artificial intelligence.
Objective: enable healthcare providers to save time to focus on what matters most: patients.
jaide also develops advanced artificial intelligence models to predict cancer evolution and improve therapeutic decision-making. These models can eventually be integrated into the AI clinical assistant for oncology.
Interpretable predictive model for 10-year disease evolution in patients with prostate cancer.
Accuracy (auROC): 80%
Interpretable predictive model for 10-year disease evolution in patients with colorectal cancer.
Accuracy (auROC): 84%
Multimodal predictive model for early assessment of non-response to tyrosine kinase inhibitors in patients with EGFR+ lung cancer.
In development
Objective: Develop reliable predictive tools to improve personalized care for cancer patients and optimize therapeutic strategies.
Select the perfect plan for your medical practice and start providing world-class AI-enhanced care
Attract new customers and provide them with insight on tools so that they quickly convert
Accessible dictation solution competitive with Dragon
Comprehensive AI solution with essential features at competitive pricing
Advanced oncology-focused solution with comprehensive AI tools
Contact our team to discuss enterprise pricing and custom features for your organization.
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