Upload blood tests, diagnostic reports & medical history. Our advanced neural engine analyzes data across 24+ specialties — predicting diseases before they manifest and recommending precision treatments.
A seamless pipeline from raw patient data to actionable medical intelligence — in seconds.
Specialists upload blood reports, MRI scans, X-rays, ECG data, and full medical history through our HIPAA-compliant interface.
Our multi-modal AI processes 10,000+ biomarkers simultaneously — cross-referencing against 15M+ clinical case studies.
Relevant specialists from cardiology to oncology are automatically notified. Cross-specialty insights emerge in real-time.
A complete report with current diagnosis, medicine suggestions, 5-year risk timeline, and recommended follow-up actions.
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Blood Test · MRI · X-Ray · ECG · Pathology Report
Every specialist discipline powered by dedicated AI models trained on domain-specific medical literature.
ECG analysis, heart failure prediction, arrhythmia detection & cholesterol risk assessment.
Brain MRI analysis, seizure prediction, Alzheimer's early detection & stroke risk scoring.
Diabetes management, thyroid disorders, hormonal imbalance detection & insulin resistance.
Lung function tests, COPD prediction, asthma severity scoring & respiratory failure risk.
Cancer biomarker detection, tumor staging assistance, chemo response prediction.
Bone density analysis, fracture risk scoring, arthritis progression & joint degeneration.
Kidney function tracking, CKD stage prediction, dialysis need assessment & GFR analysis.
Blood disorder detection, anemia classification, coagulation analysis & bone marrow insights.
Autoimmune disease detection, inflammation markers, lupus & RA risk prediction.
Liver function analysis, IBD monitoring, gut microbiome patterns & colorectal risk.
Retinal scan analysis, diabetic retinopathy, glaucoma detection & vision loss prediction.
Hereditary disease mapping, genomic risk scoring, pharmacogenomics & mutation analysis.
TorontoDigits Health isn't a replacement for doctors — it's their most powerful diagnostic partner.
Simultaneously process blood panels, imaging, ECG waveforms, pathology slides, and patient history through unified AI reasoning.
AI generates a 1–10 year disease risk timeline with probability scores, helping doctors intervene before critical events.
Personalized drug recommendations factoring in genotype, comorbidities, allergies, and drug interaction risk profiles.
End-to-end encryption, zero-knowledge storage, and full HIPAA/PIPEDA/GDPR compliance with audit logs for every access event.
When cardiac findings affect nephrology or an oncology result flags endocrine issues — our AI connects the dots automatically.
Multiple specialists review the same case simultaneously. AI-moderated second opinions with confidence-weighted consensus.
Each case improves the model. Federated learning across hospital networks keeps AI current without sharing raw patient data.
Seamlessly integrates with Epic, Cerner, Allscripts, and 40+ EHR systems. No workflow disruption — just smarter decisions.
Comprehensive diagnostic reports generated in under 3 seconds, formatted for clinical documentation and patient communication.
Our AI analyzes current biomarker trends and predicts future disease trajectories — giving doctors and patients a roadmap to prevention.
Personalized drug protocols based on diagnosis, genetics, comorbidities, and latest clinical guidelines — reviewed by specialist physicians.
Pre-diabetic intervention
Cholesterol management
Deficiency correction
Hypertension control
Evidence-based treatment rationale
Based on the patient's HbA1c of 6.2% (borderline pre-diabetic), fasting glucose of 108 mg/dL, and HOMA-IR score of 3.4, early pharmacological intervention with Metformin is indicated. ADA 2024 guidelines support this alongside lifestyle modification for patients with 2+ metabolic risk factors.
LDL-C of 142 mg/dL combined with a 10-year ASCVD risk of 12.3% places this patient in the borderline-high risk category. Statin therapy initiation with Atorvastatin is consistent with ACC/AHA Cholesterol Guidelines. Monitoring for myopathy and liver function recommended at 3-month follow-up.
25-OH Vitamin D level of 18 ng/mL indicates deficiency. Supplementation will support insulin sensitivity improvement, immune function, and reduce the modeled cardiovascular risk by an estimated 8–12% based on population-level meta-analyses.
"TorontoDigits Health caught a pre-cancerous biomarker pattern in a blood panel our team would have reviewed as borderline normal. It flagged a combination of CEA, AFP, and ferritin values that warranted immediate oncology referral. That patient is now in early-stage treatment."
"The cross-specialty reasoning is what sets this platform apart. When I upload a nephrology workup, it automatically surfaces implications for cardiovascular and metabolic health — connections I'd normally need to consult colleagues for."
"The 5-year prediction model has transformed how we counsel patients. Rather than reacting to disease, we're now having proactive conversations about prevention. Our early intervention rate has increased 340% since implementing this across our neurology practice."
Join 8,000+ healthcare professionals using TorontoDigits Health to save lives through faster, smarter, more accurate diagnoses.