Intelligent Imaging Diagnostic Platform

Intelligent Imaging Diagnostic Platform

Intelligent Imaging Diagnostic Platform

Explore a solution that enhances diagnosis efficiency and accuracy through automation and AI power

Explore a solution that enhances diagnosis efficiency and accuracy through automation and AI power

This is an exploration of an AI-based intelligent imaging diagnostic platform, which aims to increase the diagnostic accuracy and frequency, as well as tracking patient condition.


Below is a sneak peak.

What I did
Heuristic UI/UX redesign

Duration

1 week

Project Background

To provide doctors with convenient, and efficient imaging processing experience

To provide doctors with convenient, and efficient imaging processing experience

With the rapid advancement of technology, the significance of intelligent imaging systems is increasingly evident in medical fields. In the medical sector, doctors often face multiple challenges, including diagnostic accuracy and time pressures.


VistaMed aims to develop an innovative intelligent imaging system that focuses on user experience (UX) design. Through in-depth user research and user need analysis, we strive to optimize interface design, functional layout, and user interaction. The goal of this project is to provide doctors with an convenient, and efficient imaging processing experience, offering more reliable diagnostic support, allowing them to dedicate more time to patient care and treatment.

Information Architecture

Information Architecture

Design Rules

Design Rules

Final Design

Data management and image analysis

Data management and image analysis

Data management and image analysis

Patient record comparison and summary

Patient record comparison and summary

Patient record comparison and summary

FFR analysis

FFR analysis

Patient report generation and sharing

Patient report generation and sharing

Next project

Next project

Event Management platform 2.0

Event Management platform 2.0

View Case Study

View Case Study

View Case Study

View Case Study

Let's talk

Drop me a line

Let's talk

Drop me a line

Let's talk

Drop me a line