Today ContextVision held a company presentation in Oslo, Norway. CEO Fredrik Palm gave an update of the company’s development during 2019 and shared the company’s future direction.
We are pleased to invite you to a presentation of ContextVision and its 4th quarter and full year 2019 figures and give an update on the ongoing projects. The meeting will be held at the offices of Norne Securities AS (Oslo Office), Roald Amundsens gt. 6, Oslo.
ContextVision announced new growth within its market-leading medical image processing business. Newly signed customer contracts in both Asia and the United States are driving increased revenue in Q1 2020 and beyond.
STOCKHOLM – February 20, 2020 – ContextVision, a medical technology software company specializing in image analysis and artificial intelligence, today announced solid sales in Q4 to close out a record year for the company. With sales growth across its medical imaging offerings and patent approval for its unique method for high-quality digital pathology data generation, […]
ContextVision’s CEO Fredrik Palm discuss innovation around AI-powered diagnostic imaging and digital pathology at Sweden Korea Business Summit
“How AI transforms the Future Healthcare, Opportunities and Challenges” and discuss innovation around AI-powered diagnostic imaging and digital pathology.
ContextVision is pleased to announce that Arto Järvinen has been promoted to the company’s CTO position. Järvinen has been Director of R&D since 2011 and has been instrumental in leading the company’s operational R&D work. Järvinen has succeeded the former CTO and co-founder Martin Hedlund. Hedlund retired earlier this year but will resume in his board position for the company.
ContextVision announces first digital pathology patent granted for its unique and objective data-generation method
Master Annotation method has received patent protection in the U.S. The U.S. Patent and Trademark Office (USPTO) has granted a patent to ContextVision for this invention, titled “method and system for detecting pathological anomalies in a digital pathology image and method for annotating a tissue slide”.