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Intelligent Medical Diagnostics

Advanced AI-powered analysis of medical documents, imaging, and patient records. Get instant insights with clinical-grade accuracy.

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HIPAA Compliant
Real-time Analysis
99.2% Accuracy
Medical Technology
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Demo Mode — Sample Records Displayed

In the live version, clinicians upload patient files and the AI returns structured diagnostic results in seconds. Here's how it works:

1
Select files — drag & drop or browse for PDF, DICOM, JPG, PNG, or TXT medical documents.
2
AI processes — IntelliWebAI extracts text, runs computer vision on images, and cross-references clinical knowledge.
3
Results appear — structured findings, confidence scores, and recommendations populate in the panel on the right — exactly as shown below.
Drop files here

or click to browse

File upload is disabled in demo mode. Sample records are shown on the right.

Analysis Results

Sample Records Complete
Chest X-Ray Analysis
Patient: John D.  |  Analyzed: May 30, 2026, 10:14 AM
94% Confidence
94%
Normal
Findings:
  • No acute cardiopulmonary process
  • Lungs are clear bilaterally
  • Minor scarring in right upper lobe (benign)
AI Recommendation

No immediate intervention required. Routine follow-up recommended in 12 months. Consider pulmonary function tests if patient reports respiratory symptoms.

Blood Report — CBC Panel
Patient: Sarah M.  |  Analyzed: May 30, 2026, 11:02 AM
87% Confidence
Hemoglobin 13.5 g/dL ✓
WBC Count 11.2 K/μL ↑
Glucose (fasting) 118 mg/dL ↑
Platelets 250 K/μL ✓
Hematocrit 40% ✓
CRP 8.4 mg/L ↑
AI Recommendation

Elevated WBC and CRP suggest mild inflammation. Elevated fasting glucose warrants HbA1c follow-up to rule out pre-diabetes. Repeat CBC in 4 weeks.

ECG / Cardiac Analysis
Patient: Robert K.  |  Analyzed: May 31, 2026, 9:47 AM
91% Confidence
91%
Sinus Rhythm
Measurements:
  • Heart rate: 72 bpm (normal)
  • PR interval: 162 ms (normal)
  • QTc interval: 468 ms (borderline prolonged)
  • No ST-segment changes detected
AI Recommendation

Overall normal sinus rhythm. Borderline QTc prolongation noted — review current medications for QT-prolonging agents. Cardiology referral advised if patient is symptomatic (palpitations, dizziness).

Capabilities

Comprehensive AI Diagnostics

Leveraging state-of-the-art deep learning models for accurate medical analysis

Medical Imaging

Advanced analysis of X-rays, CT scans, MRIs, and ultrasounds with computer vision algorithms trained on millions of medical images.

Lab Report Parsing

Intelligent extraction and interpretation of laboratory results, identifying anomalies and trends across multiple biomarkers.

ECG Analysis

Real-time cardiac monitoring and arrhythmia detection with precise measurement of intervals and waveform morphology.

Risk Assessment

Predictive analytics for disease risk stratification based on patient history, genetics, and lifestyle factors.

Clinical Notes

NLP-powered processing of unstructured clinical text, extracting diagnoses, medications, and treatment plans automatically.

Trend Analysis

Longitudinal patient data analysis tracking disease progression and treatment efficacy over time.

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Documents Analyzed

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Medical Institutions

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Seconds Avg. Analysis