Imaginavo
A medical imaging platform that leverages AR and AI technologies to improve early detection and diagnostic accuracy, offering actionable insights and advanced features tailored for healthcare providers.
Roal
UX Designer
UX Researcher
Tools
Figma
After Effects
Duration
5 months
Skill
Observation, Interview, Affinity Mapping, Information Architecture, Product Design, Prototype
Overview
Introduction
Problem Statement
Limitations of Traditional Medical Image Viewing
Traditional medical imaging methods, limited by 2D visualization, manual analysis, fragmented software, and minimal interaction capabilities, reduce efficiency and accuracy while overwhelming cognitive demands hinder effective and timely medical decision-making.
Key Features
Key feature 1 - View one case
Key feature 2-AI provide results
When medical professionals import medical images into imaginavo and combine the patient's medical history with the lab result, imaginova's AI analyzes the images and related data and provides possible results based on the likelihood.
Key feature 3-Holographic View
Imaginavo focuses on forward-looking future concept design, and we provide a glasses-free AR display platform that opens up new possibilities for the way medical professionals view medical images in the future.
Project Goal
How might we transform medical imaging by integrating holographic projections and AI to enable medical professionals to interact with images more intuitively, enhancing diagnostic accuracy, reducing analysis time, and delivering deeper, actionable insights to improve patient care?
Target User
The target users are medical professionals—primarily radiologists, doctors, and surgeons—who regularly work with medical imaging data like CT, MRI, and X-ray scans
Research
Traditional way of viewing medical image
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2D Visualization: Medical images are typically viewed on flat, two-dimensional screens.
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Manual Analysis: Radiologists manually examine images to identify abnormalities, which can be time-consuming and prone to human error.
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Static Images: Images are static, allowing only limited angles and perspectives, which can obscure critical details.
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Limited Interaction: Minimal interaction with the image, primarily through basic functions like zoom and rotate on a flat plane.
Interview
After doing background research, I gained a certain level of understanding of the process of medical professionals viewing medical images and writing medical reports.
Then I collected interview questions and conducted detailed interviews with two medical professionals: an MRI radiographer and a CT radiographer about their work.
What factors improve the experience of viewing medical images for the medical professionals?
Intermediate Physician Imaging MRI
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Integration of a knowledge base, particularly for anatomical and disease imagery related to muscles and thighs.
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Faster access to radiology and pathology results without additional clicks.
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Enhanced detail in critical value listings to better grasp clinical urgencies.
Resident Physician
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Positive about using AI for diagnostic support, particularly due to its potential in improving prenatal diagnoses.
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Sees great value in 3D holographic projections for complex anatomical assessments like the fetal cardiovascular structure.
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Emphasizes the need for high diagnostic accuracy and reliability in AI recommendations to trust and integrate them into practice.
Design Solution
Integrates 3D holographic projections and AI-assisted analysis, enabling medical professionals to interact with and explore imaging data from various angles.
Holographic View
AI analysis
Probelm1: No detail in critical value listings to better grasp clinical urgencies.
Solution1: In the dashboard of the product homepage, I designed a section where the most urgent cases and upcoming meetings are displayed
Probelm2：Minimal interaction with the image.
Solution: Two new forms of interaction are provided: the interaction of sliding medical image and the 3D holographic projection of rotating organs, which makes the accuracy of medical diagnosis higher.
Problem3：Manual Analysis， Radiologists manually examine images to identify abnormalities, which can be time-consuming and prone to human error.
Solution: Provide AI analysis to add additional help.
