Igor Rogelj's avatar

Igor Rogelj (igor-rogelj)

Hi I am the Head of ArrowFast - Medical Device Engineering. We help startups and innovators develop and certify medical devices & software.

Scalr
Scalr

Improving medical diagnostics through increasing the resolution of medical images by 16x using a novel combination of convolutional neural networks and variational auto-econders

1
Diabetes Detection using Retinopathy using Pytorch
Diabetes Detection using Retinopathy using Pytorch

Using the retina images of the eye, it can detect the possibility of diabetes in a person with the help of Pytorch

3
COVID-Z
COVID-Z

An online AI based platform for COVID-19 testing

1
TeleDoc - A late stage COVID-19 detection triage tool
TeleDoc - A late stage COVID-19 detection triage tool

AI-powered remote/non-invasive Telediagnostic detection and screening tool for diseases and infections

1
Medical Ultrasound Imaging Acceleration Based on CAPI
Medical Ultrasound Imaging Acceleration Based on CAPI

A CAPI Implementation of Parallel Delay-and-Sum algorithm on SuperVessel Platform

1
COVID-19 X-Ray Detector
COVID-19 X-Ray Detector

CoronaVirus (COVID-19) detection using X-Ray Images

2
AI MedAssist
AI MedAssist

A medical assistant, which diagnoses COVID-19 and predicts the evolution of each patient through the analysis of a chest X-Ray and 6 key factors of the clinic history

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3
POCOVIDSCREEN- AI to detect COVID-19 with POCUS ultrasounds
POCOVIDSCREEN- AI to detect COVID-19 with POCUS ultrasounds

We want to provide a new AI-based diagnosis tool to screen Covid-19 at early stages in an easy, precise and faster way with ultrasound image analysis (POCUS).

+ 5
9
CovidScan-An AI Radiology Tool For COVID-19 Pandemic
CovidScan-An AI Radiology Tool For COVID-19 Pandemic

CovidScan.ai is developed to be a secured AI platform with the purpose to assist radiologists with fast and accurate pneumonia dectection amid this COVID-19 pandemic.

+ 1
13
3Degrees
3Degrees

iOS/Android app for burn diagnostics & novel injury progression analytics using FLIR imaging

8
ScanShare
ScanShare

A collaborative mixed reality diagnostic tool for medical professionals.

2
X-COV
X-COV

Artificial Intelligence tool for automatic analysis of chest X-rays of COVID-19 patients to help physicians in their decisions. Trained with thousands of images, many of them from Madrid Hospitals.

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4
Healthentia
Healthentia

Healthentia is an eClinical solution that is already used to cover COVID-19 needs for symptom tracking, patient monitoring, epidemiological predictions and to support the lifting of lockdown measures

+ 3
7
Athelas
Athelas

Blood imaging and analysis from your smartphone. Automated, cheap disease diagnostics + cell-counts within seconds.

8
MedCheX
MedCheX

An e-Alert system for automatically detecting pneumonia from chest x-rays

1
VentLife
VentLife

VentLife is a simplified ventilator that can be easily mass produced for low-cost and meet the clinical requirements of treating patients with COVID-19.

3
Dr. Holo
Dr. Holo

Hololens AR App that focuses on optimizing patient care and reducing medical errors.

+ 1
1
SafeVoice
SafeVoice

A voice controlled system to manage appropriate insulin dosing in real time

1
Ubi+Health
Ubi+Health

Enabling continuous patients monitoring for a more efficient, qualitative and sustainable healthcare.

1
Cyan
Cyan

Platform that analyzes biosignal data from a device to initiate relaxation for people who may experience anxiety.

1
Quantiq - Cheap rapid test using IoMTs
Quantiq - Cheap rapid test using IoMTs

By using all-in-one connected medical devices and artificial intelligence, we give the likelihood of having covid-19

1
Hospital patient monitor
Hospital patient monitor

A health monitoring device designed from scratch

+ 1
1
Infineon Challenge: OpenVentApplication
Infineon Challenge: OpenVentApplication

Our idea is to provide a software solution that allows medical staff to monitor multiple ventilators simultaneously via app. Additionally, a risk score and push-up serive is implemented...

1
EarlyDeTech
EarlyDeTech

Detects early signs of Parkinson's Disease, through computer vision on electronic devices, which cannot be detected through medical screenings.

1