Artificial intelligence is helping to improve numerous aspects of the healthcare industry and medical imaging tech is one of the fields that has benefited greatly. AI is being used to make imaging devices which can detect diseases earlier and guide diagnosis and early treatment.
Last month, technology company Nvidia unveiled the Nvidia Clara platform, which is a combination of software and hardware working together to bring AI to future medical instruments. The Clara software development kit will enable developers to apply a wide range of AI-powered applications to existing medical imaging equipment. Nvidia believes its technology can address the great challenges of medical instruments and process the enormous amount of data generated every second which is currently interpreted by doctors and scientists.
Nvidia may be stepping up its game in the world of medical AI but the company is certainly not alone in its endeavours. Here are four new devices featuring AI-powered medical imaging tech:
Earlier this year, deep learning start-up Aidoc revealed what it referred to as the world’s first comprehensive full body technology that can use AI to analyse computed tomography (CT) scans.
Aidoc’s AI-powered medical imaging technology can highlight any abnormal findings on a patient’s medical scan so they can be reviewed by radiologists. The AI solution aims to offer support to radiologists focusing on areas such as the chest, abdomen, spine and head.
The company received the CE mark for this technology last year, which made it accessible to medical institutions across Europe.
Deep learning company Subtle Medical is a member of the Nvidia Inception virtual accelerator program and is aiming to create MRI machines that acquire images in a quarter of the time while requiring just 10% of the contrast dosage to patients.
Subtle Medical founder Enhao Gong said: “We are using AI to improve workflow for MRI and PET exams. Nvidia’s Clara platform will enable us to seamlessly scale our technology to reduce risks from contrast and radiation, taking imaging efficiency and safety to the next level.”
Optical coherence tomography
Google’s DeepMind recently developed an AI system that can quickly detect over 50 eye disorders using routine medical scans.
Optical coherence tomography (OCT) relies on coherent light to capture micrometre-resolution, 2D and 3D images from within optical scattering media. Currently, eye condition diagnosis techniques require OCT 3D scans which are often hard to read and require experts to interpret. This can result in delayed treatment leading to a negative impact for patients and their vision.
DeepMind believes that its AI assistant for this medical imaging tech can tackle these issues by automatically identifying disease symptoms within seconds and has been designed to prioritise patients who need urgent care.
GE Healthcare introduced a new medical imaging tech in March in the form of the LOGIQ E10 radiology ultrasound system, which is aided by AI to quickly capture data and reconstruct images. The digital system employs closed connectivity and advanced algorithms to ensure 48 times more data throughput and ten times the processing power of previous systems.
The cloud connectivity feature of the system is called Tricefy and enables clinicians to share a variety of important medical information with their colleagues and patients such as images, diagnostic information and health records.
Credit: GE Healthcare