AI for Healthcare and Medical Imaging

Top Data Science is a trusted and flexible AI co-creation partner for healthcare technology companies, hospitals, academic research groups and startups. During the last years, we have successfully implemented over 20 research and clinical projects by applying cutting-edge Computer Vision, Predictive Analytics and Natural Language Processing technologies.

We know strict quality and regulatory affairs requirements in health care and medical industries. We can help our customers to swiftly plan, build and implement solutions from Proof-of-Concepts and MVPs to full-scale production solutions.

We are an active member company in Healthtech Finland industry association, which is part of Technology Industries of Finland.

AI for Medical Imaging and Cancer Detection

In a long-term research collaboration with the HUS hospital oncological research group, we have created a medical imaging AI suite with specialized deep learning algorithms and AI/ML models for analyzing medical imaging data, such as histopathological cancer images, MRI and CT images.

More info on our scientific publications in our News repository.

Video Analytics to Detect and Predict Patient Activities

A novel and scalable AI solution to detect and predict patient activities in a ward/hospital bed.

This embedded solution is tailorable and it is easy to train to cater new activity categories, postures and gestures.

AI for Parameter Estimation from X-rays

Computer vision for post-surgery artificial hip angle detection.

Client is a specialized hospital performing thousands of joint replacements per year.

 

Predicting Organ Dysfunction in ICU

Top Data Science and GE Healthcare collaboration in development of deep learning based AI models to predict and classify high and low risk patients in intensive care units.

Data includes vital signs, physiological parameters, laboratory tests, treatment information, drug and medicine information etc.

Semantic Segmentation for Quantifying Drug Side Effects

Semantic image segmentation algorithms for abdominal fat segmentation from MR images of mice.

Customer is one of the largest pharmaceutical companies in the world.

Document Analysis for a Regulative Database

Research and creation of a Natural Language Processing / Natural Language Understanding engine for a regulative database by using state-of-the-art NLP and Document Retrieval technologies.

Customer is a large international pharma company.

Ischemic Stroke Segmentation from Brain MRI

Top Data Science and DoctorNet Japan (https://dr-net.co.jp/en/) are developing semantic image segmentation algorithms for ischemic brain stroke segmentation from MRI images.

Want to hear more?

AI for Healthcare and Medical Imaging

Top Data Science is a trusted and flexible AI co-creation partner for healthcare technology companies, hospitals, academic research groups and startups. During the last years, we have successfully implemented over 20 research and clinical projects by applying cutting-edge Computer Vision, Predictive Analytics and Natural Language Processing technologies.

We know strict quality and regulatory affairs requirements in health care and medical industries and can help our customers to swiftly plan, build and implement solutions from Proof-of-Concepts and MVPs to full-scale productional solutions.

We have been an active member company in Healthtech Finland industry association, part of Technology Industries of Finland.

AI for Medical Imaging and Cancer Detection

In a long-term research collaboration with the HUS hospital oncological research group, we have created a medical imaging AI suite with specialized deep learning algorithms and AI/ML models for analyzing medical imaging data, such as histopathological cancer images, MRI and CT images.

More info on our scientific publications in our blog repository.

Video Analytics to Detect and Predict Patient Activities

A novel and scalable AI solution to detect and predict patient activities in a ward/hospital bed.

This embedded solution is tailorable and it is easy to train to cater new activity categories, postures and gestures.

AI for Parameter Estimation from X-rays

Computer vision for post-surgery artificial hip angle detection.

Client is a specialized hospital performing thousands of joint replacements per year.

Predicting Organ Dysfunction in ICU

Top Data Science and GE Healthcare collaboration in development of deep learning based AI models to predict and classify high and low risk patients in intensive care units.

Data includes vital signs, physiological parameters, laboratory tests, treatment information, drug and medicine information etc.

Semantic Segmentation for Quantifying Drug Side Effects

Semantic image segmentation algorithms for abdominal fat segmentation from MR images of mice.

Customer is one of the largest pharmaceutical companies in the world.

Document Analysis for a Regulative Database

Research and creation of a Natural Language Processing / Natural Language Understanding engine for a regulative database by using state-of-the-art NLP and Document Retrieval technologies.

Customer is a large international pharma company.

Ischemic Stroke Segmentation from Brain MR

Top Data Science and DoctorNet Japan (https://dr-net.co.jp/en/) are developing semantic image segmentation algorithms for ischemic brain stroke segmentation from MR images.

Want to hear more?