Creation of medical devices using artificial intelligence

Artificial intelligence (AI) opens up a wide range of opportunities for creating products for healthcare purposes. For example, some companies have already introduced the use of generative AI to create medical devices.

Generative AI involves the use of artificial intelligence to create or assist in the creation of structures based on initial criteria and constraints.

The company Meticuly (Thailand) uses generative artificial intelligence to create personalized bone implants. The technology for obtaining such products is as follows: computer tomograms of patients introduce an AI deep learning algorithm to develop an implant design, then the created design is printed on a 3D printer. Before using AI technology, bone implants were cast manually and then their shape was adjusted during surgery.

NuVasive (USA) uses generative design to create porous titanium spinal implants with the help of 3D printing. The combination of these technologies makes it possible to manufacture a titanium implant with micro-holes along the entire length, which makes it possible to make a more flexible implant. This prevents the implant from sagging and, as a result, reduces the frequency of associated complications of vertebral fusion operations.

It is worth noting that AI itself can be a medical device. As of May 2024, 32 devices based on AI technologies are represented in the register of registered medical devices of Roszdravnadzor.

The functional purpose of most products is the analysis of data from various studies (fluorography, radiography, computed tomography). MD designed to diagnose the new coronavirus infection COVID-19, signs of lung cancer, have also been registered.

In addition, various medical decision-making systems (Clinical decision support system, CDSS) have been developed and registered as MD. CDSS is a software that allows, by interpreting the information collected, to support a doctor's decision-making at all stages of the therapeutic and diagnostic process in order to reduce errors and improve the quality of medical care provided.