AI Doctor

Accelerating Clinical Insights with AI

Clinovia.ai delivers validated AI models to stratify patient risk, predict disease progression, and optimize clinical trial design—helping CROs, pharma, and clinicians reduce screen failure, accelerate enrollment, and enable earlier intervention.

Demos

A research-use-only platform supporting hospitals, CROs, and pharma in research. Applications include early detection, patient stratification, and trial enrichment.

Cardio Tool

This cardiology tool supports ASCVD and CH₂VC-D2 risk scoring, blood pressure–based risk stratification, and algorithmic ECG interpretation for research and clinical decision support.

ASCVD Risk Chart
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AD Classifier

Designed for Alzheimer’s and neurodegenerative research, this RUO tool was built on data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI): ADAS, CDR, FAQ, MOCA, and PTDEMOG with DXSUM. It was trained using XGBoost on a dataset of 2,618 patients with 94% accuracy.

SHAP Global Importance
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Trial Planner

This tool helps design clinical trials in cardiology, oncology, and neurology by integrating sample size calculations with patient risk assessment. It supports efficient trial planning and decision-making for CROs and pharma.

Trial Planner
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Related Papers

Explore peer-reviewed research and technical insights behind Clinovia’s AI-powered cardiovascular and neurodegenerative risk assessment tools.

Advancing Cardiovascular Risk Prediction: A Review of Machine Learning Models and Their Clinical Potential

Journal: Life (MDPI), 2025

This review examines the latest AI techniques for predicting cardiovascular risk, addressing strengths, limitations, and steps toward clinical integration.

Read Full Review

XGBoost Models Based on Non-Imaging Features for Prediction of Mild Cognitive Impairment in Older Adults

Journal: Scientific Reports, 2025

Uses features like demographics and cognitive scores (no imaging) to model MCI, leveraging SHAP for feature interpretability.

View on Scientific Reports

Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, XGBoost & Cox Models

Repository: arXiv (2024)

Compares survival transformer and XGBoost models in forecasting cognitive decline, highlighting their predictive accuracy and stability.

Read on arXiv
Clinovia’s tools are research-use-only (RUO) and built on peer-reviewed methodologies.

Research Use Only (RUO) Solutions

Clinovia demos are intended for Research Use Only (RUO). They are designed to support hospitals, contract research organizations (CROs), and pharmaceutical companies in advancing cardiovascular and neurological research.

Hospitals

Hospitals can use Clinovia’s AI diagnostic tools to conduct clinical research, explore new methods for assessing cardiovascular risk, and study cognitive decline in controlled environments.

Contract Research Organizations

CROs can integrate Clinovia demos into their study pipelines to provide advanced analytics, validate biomarkers, and generate explainable insights for sponsors.

Pharmaceutical Companies

Pharmaceutical companies can leverage Clinovia’s AI models to support drug discovery, clinical trial stratification, and post-market research focused on cardiology and neurology.