Medipixel is a health-tech startup located in Seoul, Korea, and it is working on developing interventional solutions based on AI and robotics. Their goal is to provide both diagnosis and treatment solutions for intervention procedures including percutaneous coronary intervention, peripheral intervention, ERCP, etc.

1. Interventional Solutions based on AI and Robotics

2. CVD (Cardiovascular Disease)
40seconds
1st
1/3of population

3. Intervention
Intervention is a minimally invasive method for both diagnosis and treatment for CVD
Devices for vision
Catheter Guidewire Stent
Devices for
treatment
Minimally Invasive
Both diagnosis and treatment
Physicians need medical devices for
vision and treatment

4. Problem
NOT enough
quantification
“Roughly
50~80%”
Difficulty in
Handling devices
NOT enough
visualization

5. Solution
Interventional solutions on which AI and Robot provides automated analysis and control
Accurate Diagnosis
w/ automated real-time analysis software
Successful Result
w/ automated device manipulation robot
Safe Progress
w/ guidance software

6. Technology
Medipixel has been building core technology modules that are integrated to products
Segmentati
on for
guidewire
Registratio
n between
CAG and
CT
Catheter
model
recommen
dation
Automated
navigation
at 2D
phantom
Stent
model
recommen
dation
Automated
pathmap
creation
Automated
navigation
at 3D
phantom
Segmentati
on for
main vessel
Preprocessi
ng for
state info
(crop,
overlay)
Automated
navigation
in animals
Automated
sub-goal
creation
Detection
for
guidewire
Anomaly
detection
for
catheter
Detection
for
catheter
Anomaly
detection
for
guidewire
Deep RL
algorithm
Automated
centerline
extraction
Detection
for
guidewireti
p
State
image
augmentati
on
Analysis for
Explainable
AI
(GradCam)
Automated
graph
structure
extraction
Automated
pipeline for
training
Data &
Log based
training
Heartbeat
phase
analysis
Location
estimation
for
guidewire
Assembling
frames to
one
pathmap
Registratio
n btw
MRCP and
Angio
Human
pose
estimation
Adapted
control &
Motion
signal
processing
Feature
extraction
from
segmented
vessel
Lesion
detection
based on
diameter
variation
Web-based
visualizatio
n
Framework
for AI
training &
test
QCA
Control for PCI
Guide & Planning
Control for ERCP

7. Product #1
AI-based Diagnosis for PCI
Existing Solutions: No use at cath room
- Manual segmentation
- Spending too much time in correction
- Being used at lab for research purpose
AI-based automated diagnosis
- Automated classification
- Automated segmentation
- Automated analysis
- Automated recommendation
Real-world product for cath room
- No manual operation needed
- Immediate real-time analysis
- More accurate, quantitative analysis

8. Product #2
AI-based Guidance for PCI including CTO
AS-IS: No guidance
- A part of vessel is not seen even with contrast
- Use too much contrast for device tracking
TO-BE: AI-based guidance
- AI-based automated CT-CAG registration restores
visualization
- Device tracking technology makes it possible to track
guidewire’s situation even with little contrast
Confident & safe intervention
- Doctors restores the view of the lost part of vessel
- Higher confidence with little chances of accident
- Lower side effects of contrast
Medipixel Coronary Roadmap v1.0
Copyright 2019-2020 | All rights reserved

9. Product #3
AI-based robotic intervention for PCI
Convolutional
NeuralNetwork
F
C
N
Q-value
command
state
reward
action
Cam
era
Coronary Phantom
Manipulator(AMC)
Guiding Catheter
MedipixelAI Engine
Guidewire
Difficulty handling devices
- Guidewire manipulation at bifurcation
- Variation in doctor’s skill
AI-based robot for device manipulation
- Well-trained AI engine issues order to robot
- Robot controls and delivers device to the lesion area
efficiently
Less time, higher efficiency
- Takes less time for guidewire manipulation
- Decreased radiation exposure
- Decreased complication

10. Product #4
AI-based robotic intervention for ERCP
Difficulty handling devices
- Guidewire manipulation at stricture
- Result: more time, lower success rate
AI-based robot for device manipulation
- Well-trained AI engine issues order to robot
- Robot controls device to pass through the stricture area
Less time, higher success rate
- Reduce 75% of extra time taken
- Reduce 50% of failure rate

11. Team
15 people including one PhD and two masters
Andy Song
Founder & CEO
Whi Kwon
CTO
Jin Ham
CSO

12. Milestones
Medipixel has achieved good partnership, recognition, funding, and now expects product shipping
Partnership
with two biggest and
most renowned hospitals
in Korea
Global Recognition
Winner of Johnson and
Johnson QCF
Funding
17.4M USD including
Series A (10M USD)
Product shipping
Diagnosis: 2021 1Q
Guidance: 2022
Robot for PCI: 2023
Robot for ERCP: 2024
$

13. http://www.medipixel.io
contact@medipixel.io
job@medipixel.io
The Road Not Taken.
- Will you join in our crusade?

14. 채용분야 담당업무 지원자격 우대사항
의료영상
리서치
엔지니어
- 의료 영상 기반 R&D
- 주요 R&D 분야
- 혈관 분할 / 병변 정량적 분석 / 최적의 시술도구 추천 모델 개발
- 시술도구 탐지/분할 / 심전도 분석 / 이종 영상 정합 모델 개발
- 주요 기술
- Object detection, Segmentation, Registration, Classification
- 알고리즘/딥러닝 R&D 2년 이상 경력자
- Python, PyTorch, Linux, CV 관련 패키지
및 Framework 사용에 능숙하신 분
- 유관 전공 석사/박사
- C++ 기반 알고리즘/딥러닝 개발
경력자
- Medical Imaging R&D 경력자
- 주도적으로 리서치를 이끈 경험이
있는 분
강화학습
리서치
엔지니어
- 강화학습 기반 시술도구 제어 기술 R&D
- 주요 R&D 분야
- 강화학습 기반 병변 도달 / 병변 극복 자동화 모델 개발
- 강화학습 기반의 이종 영상 정합 모델 개발
- 주요 기술
- DQN, DDPG, PPO
- DQN, DDPG, PPO 등 강화학습 알고리
즘 및 딥러닝 R&D 경력자
- Python, PyTorch, Linux, CV 관련 패키지
및 Framework 사용에 능숙하신 분
- 유관 전공 석사/박사
- 강화학습 기반 로봇 프로젝트 경
험자
- 주도적으로 리서치를 이끈 경험이
있는 분
로봇
임베디드
시스템
엔지니어
- 리눅스 기반 임베디드 시스템 소프트웨어 개발
- 리눅스 기반 디바이스 간 인터페이스 소프트웨어 개발
- 로봇 제어 시스템 설계 (센서, 모터, MCU 등 로봇 컴포넌트 구성)
- 임베디드 시스템 또는 리눅스 기반 소프
트웨어 개발 경력 2년 이상
- 로봇 시스템 개발 프로젝트 경험
자
인허가
전문가
- 국내/해외 인허가 업무 담당
- 제품별 인허가 계획 수립 및 관리
- 임상시험/인허가 관련 문서 작성
- CRO management
- 임상시험 또는 인허가 관련 업무 경력자
- 해외 인증(FDA/CE) 유경험자
- 영어 능력 우수자
- 의료기기 유관 전공자 (의공학, 간
호학 등)