Developing human-centred Artificial Intelligence is what we were born to do.
With 10 years of experience in developing AI solutions for medical applications that address significant unmet clinical needs and improve patient outcomes, we can safely claim to be at the forefront of human-centred AI innovation in the field.
Human-AI collaboration
Compared to standard software, AI can be more effective when designed to interact with humans. This means it has the potential to transform clinical practice. Our algorithms have been shown to assist physicians in the medical decision-making process.
Data harvesting
The effectiveness of any AI application depends on the quantity and quality of data used to train the algorithms. Our data harvesting workflows are designed to acquire sufficient high-quality information to eliminate bias and make a significant impact.
Results validation
In recent years, various studies have confirmed the effectiveness of our algorithms in enhancing the rate of detection of anomalies, helping physicians to make informed clinical decisions, and thus improving outcomes for patients.
President, Cosmo IMD
Video Gallery
AI in gastroenterology
AI in gastroenterology is real, and it is able to empower endoscopists today
AI should be designed comprehensively
AI solutions need to be designed taking into account the data harvesting process, the bottlenecks, and the clinical need
The importance of data quality
Data quantity is important to train an AI, but data quality is even more important
Hybrid team is more accurate than AI alone
We designed the artificial intelligence in GI Genius not to replace the endoscopist, but rather to work as a team.
Non experts with AI perform as experts
Artificial intelligence could have a role in the training of the future generation of endoscopists