Corporate Health International (CHI) have a proprietary remote video capsule endoscopy product which is used to conduct minimally invasive procedures to identify risk or presence of small bowel or colon cancer. The patient swallows a small camera that is used to capture the internal organ footage.
This is an invaluable test but, in its current fully manual diagnosis process, presents considerable challenges and limitations including long and laborious reading times as well as risk of human error in missing lesions in the film.
CHI approached NashTech to come up with a way to increase pace, resilience and accuracy into the life-saving tool and diagnostic process.
NashTech partnered with CHI and the University of Barcelona to develop an AI and ML solution that would rapidly process the film generated by the capsule and flag the anomalies found.
Partnering with CHI and the University of Barcelona, NashTech developed an AI and machine learning solution that would rapidly process the film generated by the capsule and flag the anomalies found so that medical practitioners can quickly navigate to the relevant image and conduct a more thorough clinical assessment and diagnosis.
Using ML and AI results in quicker detection of anomalies in the diagnosis process and helps to redirect the medical practitioners time to patient care. For CHI, this allows them to reap the benefits of ongoing digital innovation in MedTech to further medical science and diagnostics.