2024-04-26 03:25:28
The use of artificial intelligence technology in the medical industry many manufacturers have applied AI to suit various tasks after 691 items of this technology were approved for use by the US Food and Drug Administration. As a result, many products use different AI models, whether it be machine learning or large-scale language models. Which products are the top 10 most popular?
1.IQ3
A portable ultrasound machine from Butterfly Networks connects directly to a mobile phone. Inside the machine, there is a chip that uses semiconductors. To display high-quality images on smartphones, AI, hosted in the cloud on AWS, helps identify suspicious objects in the images, thus pinpointing abnormalities within the body.
2. Tempus One
medical virtual assistants Can access treatment profiles and patient information more easily and quickly You can also access other datasets. where doctors can search for information to help make treatment decisions The software is a virtual voice and text assistant using a large language model (LLM) to synthesize responses to questions and provide treatment recommendations. Arranging individual medicines, etc.
3. Aidoc
It is software for cardiovascular disease using AI. To review medical scans and collect data to inform abnormal spot findings There is a priority selection system. Improving the radiologist's workflow Helps to sequence treatment steps and follow up with patients on treatment
4.CT-5300
The Philips CT-5300 scanner uses AI to help generate scans to reduce radiation use by 80%, noise by 85%, and improve low-contrast detection by 60%. AI can also control the camera to identify automatic position It reduces the time needed to position a patient, and AI helps improve the quantity, speed, and quality of images scanned for various conditions. From cardiac imaging to trauma
5. Navina
is an assistant for collecting medical information EHR information can be searched for treatment and used in practice. This allows doctors to review cases. within minutes This tool can enable health care to interact with patients and improve AI outcomes, streamline pre-visit reviews with AI-powered HCC recommendations, and simplify workflows. From the risk adjustment team to the doctors. Our algorithm identifies possible diagnoses based on all patient information. Do it more precisely.
6. Sonic DL
Developed by GE Healthcare, it is a deep learning technology that enables magnetic resonance imaging to be 12 times faster than conventional techniques, fast enough to capture high-quality images of the heart in a region of a single heartbeat, reducing time. The overall scan can be up to 83% and does not require the patient to hold their breath repeatedly.
7. AI-Rad Companion
It is a technology that uses AI algorithms to automate post-processing of image datasets. To improve radiologist workflow and handle high-volume cases Consists of various modules For different body shapes and parts, such as for lung CT, lung nodules are highlighted and volume is calculated. diameter and tumor burden, etc.
8. Aquillon One/Genesis SP
CT scanning platform that relies on deep learning to improve imaging Can take pictures of various aspects of the heart in the area of a single heartbeat It includes images of multiple anatomical areas during a single inhalation and with a single injection of contrast. Adaptive repeated dose reduction was used to reduce radiation exposure while achieving 0.5 mm resolution.
9. Microsoft Fabric
The Microsoft Cloud for Healthcare analytics platform has built-in customized offerings to manage healthcare analytics and AI workloads. including electronic health records Image storage and communication systems laboratory systems Claim systems and medical equipment
10. Curie
It is an AI-powered data management framework for medical images. It includes an application that allows data standardization. Including specifying the relevance and consistency of treatment. It allows real-time and historical image analysis. and create an image database to increase research efficiency
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