AI in Medical devices

AI in medical devices

Artificial Intelligence has been one of the most powerful technologies to emerge. It has the capability to work with different industries. AI in medical devices has revolutionized the healthcare industry, helping medical professionals diagnose and treat their patients. Medical devices have started to utilize AI capabilities. These include enhanced imaging systems, smart robots, wearable technology, AI-based data analysis, simulation platforms, etc.

Functions of AI in Medical Devices

The AI in medical devices developed by the companies has three main functions, which are as follows:

  • Chronic Disease Management: These devices will be able to monitor the patients and help in treatment or medication as per requirement. For example, diabetes patients could wear sensors to monitor their blood sugar levels and administer insulin to regulate them.
  • Medical Imaging Companies: These devices will be able to conduct medical imaging with better image quality and clarity. They will also reduce a patient’s exposure to radiation.
  • Internet of Things (IoT): It is a system of wireless, interrelated, and connected digital devices used by medical professionals. The purpose is to manage data, keep patients informed, reduce costs, monitor patients, and work more effectively and efficiently. It is used in collaboration with medical devices with artificial intelligence to improve patient outcomes.

Uses of AI in Medical Devices

AI has turned out to be very effective in the healthcare system. Some of the important uses of AI include the following:

  • Medical Image Analysis: It can be applied to medical images, such as X-ray and MRI scans and other structural image sequences to assist healthcare professionals in understanding the results.
  • Drug Discovery: AI can help in clinical research and drug discovery. This is usually required to detect side effects or find the most efficient combination of medicines.
  • Brain Diseases: AI-powered medical devices help treat and detect neurological disorders, like Alzheimer’s and Parkinson’s, by analyzing MRI scans.
  • Preventive Medicine: Analysis can be predicted by AI, which will help medical professionals to adjust the level of care they provide to prevent it from happening.

Reveal LINQ and LINQ II

Ashley Ross, regional business director at Medtronic, referred to Medtronic’s Reveal LINQ and LINQ II. These are implantable cardiac monitoring systems, which are worn underneath the skin. He said, “We are a hardware company historically, but we’re bringing AI in. Reveal LINQ has been around in one iteration or another for the last 20-odd years, and the way in which we’ve iterated is, let’s improve the hardware the way the hardware is being designed now is to allow the improvements to come from software, particularly from AI. So, it’s moving technology into cloud-based management of data, which then means we can roll out updates to the technology – in the same ways as you do a software update on your phone.”

He added that they had the potential to reach the full capabilities, “We can change the performance of our device just by enhancing the AI on the back of it. So, we’re a hardware company that’s seeing the benefits of AI to accelerate the development of how that device is used. We’re taking the approach where the hardware gives us the capability to effectively update the AI or the software remotely. We never used to have two-way communication with the device and they’d physically have to bring a patient back into a clinic to update the hardware.”

Smart Contact Lenses

The medical device Company Mojo Vision says that its smart contact lenses are a functional prototype with a micro-LED display and medical-grade micro-batteries.

Drew Perkins, the CEO of Mojo Vision, said that he was the first to get an “on-eye” demonstration of the company’s technology. Their goal is to make two lenses work as a pair, allowing the wearer to see images in 3D, similar to the way VR and AR currently work.

It has the following specifications:

  • Micro LED high-density display with 14,000 pixels per inch [0.2 inches (0.5mm) in diameter]

The wearer will be able to view a live compass and see blocks of text just like a teleprompter. The interface is controlled by eye movements.