DiagnoseRadar

MET HEM PSY NEU EYE ENT PUL CV GI GU MUS DERM

Color = Risk

High Medium Low

Size = Prevalence

Less common Common More common

AI Analysis

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ICD-10 Diagnoses

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DiagnoSphere - Quick Guide

Getting Started

DiagnoSphere helps visualize potential diagnoses based on patient information. The application demonstrates how medical professionals can use data visualization to explore diagnostic possibilities.

Mock Flow Demo

To experience the full demonstration, follow these steps:

Start by entering patient information in the input box on the left side:

28-year-old female traveler recently returned from Southeast Asia presents with 3 days of high fever, severe headache, and a rash that started on her trunk and is now spreading to extremities.

Add more details in subsequent messages to build patient profile:

Patient also reports joint and muscle pain, with some petechial spots observed on examination. Mild gum bleeding noted when brushing teeth this morning. Temp 39.2°C, HR 102, BP 105/70.

Continue with more specific information:

Lab results show thrombocytopenia with platelet count of 85,000. Dengue NS1 antigen test is positive. Mild hepatomegaly on examination. Patient complains of increasing abdominal pain.

Complete the flow with critical information:

Patient's BP is now 85/50, with cold extremities and delayed capillary refill. Pulse is weak and thready. Repeat platelet count dropped to 42,000.

Key Features

Radar Visualization

Shows potential diagnoses mapped to body systems

Patient Data Card

Displays summarized patient information

Differential Mode

Compare two diagnoses side by side

Color Coding

Red: High risk diagnoses
Orange: Medium risk diagnoses
Green: Low risk diagnoses

Note: This is a prototype demonstration. In a real implementation, the system would connect to medical knowledge databases and use machine learning for diagnosis suggestions.

Analysis