Revolutionizing Healthcare with these 3 Cutting-Edge Computer Vision Applications in MedTech

MedTech, an abbreviation for Medical Technology, is a rapidly growing industry that combines medical interventions with technology. It is currently influencing the way we approach healthcare with its multitude of innovative equipment and solutions. When combined with the cutting-edge capabilities of Computer Vision, its impact is magnified.

MedTech creates better, more advanced, and less invasive treatment options, which favor reducing the duration of hospital stay and requirements for rehabilitation. Today's issue of the Let's Dive into Deep Tech newsletter covers three trends in computer vision that have a crucial impact on the future of MedTech.

1. Telesurgery, remote surgery

It is expected that advancements in robotic surgery will continue to grow. Some experts predict that robotic surgery will become the standard of care for many procedures. Next to other sensors, the system uses advanced computer vision technology, allowing surgeons to “feel” what they do during a procedure. Artificial intelligence algorithms, fed with specialized cameras, will continue integrating into robotic surgical systems, allowing for more autonomous and precise operations. Advancements in virtual and augmented reality technologies will enhance the surgeon’s ability to visualize and manipulate surgical sites and enable them to train before surgery.

2. Human body understanding

One can observe a trend of using deep neural networks to understand many human body functions. Histology images are being examined with increasingly sophisticated computer vision methods to segment blood vessels, identify stroke etiology, or detect malignant tumors. Complex radiology assistant tools based on computer vision are being developed, but there is still an open question about the responsibility for diagnosis. Computer vision algorithms have been used to analyze functional magnetic resonance imaging to understand brain activities. Many efforts are put to push this technology forward and answer the question about the origin of procrastination, intelligence, etc.

3. Health monitoring

By leveraging computer vision technology, doctors can analyze health and fitness metrics to assist patients in making faster and better medical decisions. Today, it is being utilized by healthcare centers to measure the blood lost during surgeries, mainly during C-section procedures. This can assist in taking emergency measures if the quantity of blood lost reaches the last stage. The technology can also be leveraged to measure the body fat percentage of people using images taken from regular cameras. Human pose analysis algorithms aid rehabilitation or detect spine or postural defects.

Thank you for your interest in this newsletter. It was created in collaboration with Jan Glinko , Machine Learning Researcher at DAC.digital . We'd love to hear your comments on this matter.

Let’s dive into Deep Tech is a bi-weekly newsletter series about how to transform your business into the next big thing with cutting-edge technology. Subscribe to stay up-to-date with the latest trends, challenges, and opportunities at the junction of business and deep tech.