Medgnosis Description
Medgnosis, an innovative medical app, is designed to help radiologists interpret X-ray images. The application uses advanced machine learning algorithms in order to analyze and predict possible abnormalities within selected X-ray readings. This tool is a valuable tool that adds an extra layer of knowledge to the diagnostic process. Medgnosis, which uses deep learning and neural network training on large datasets, accurately identifies many conditions from X ray images. Its performance is comparable to or better than traditional methods. A system that is designed for continuous improvements keeps it at the forefront of diagnostic technology. Medgnosis produces comprehensive, instantly accessible diagnostic reports that combine detailed identification of health issues, severity assessments, as well as recommended next steps, into a clear and accessible format. This streamlined approach helps healthcare providers make informed decisions quickly.
Medgnosis Alternatives
InformAI
InformAI is a healthcare company that focuses on AI solutions for medical diagnosis at the point of care and improving radiologist productivity. The Texas Medical Center is the largest medical center complex in the world. We developed our AI-enabled image classifications and patient outcome predictors. InformAI, along with its partners, is changing the way healthcare is delivered. InformAI partners with leading medical imaging companies, national physician groups, and renowned healthcare organizations to create solutions that improve patient outcomes. Our team includes leaders in healthcare, medicine, and artificial intelligence. InformAI Sinus Image Classifier was built using a 3D convolutional neural net (CNN), which is trained on radiology-validated 3D CT scan image libraries that contain 6 million images.
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WRDensity
WRDensity aids radiologists in interpreting breast densities to ensure uniform density assessments at the practice level. Its goal is to aid in early detection1 and give patients peace of mind through consistency, confidence, quality, and care. WRDensity was trained with deep learning based upon over 600,000 images taken by Mallinckrodt Institute of Radiology. This is one of the most respected radiology research institutes in the world. WRDensity's powerful deep-learning model is able to accurately classify breast density. The batching and sorting feature of WRDensity can increase productivity by up to 20% for users. WRDensity can be accessed within the existing workstation of radiologist, making relevant information about tissue density available in context.
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Altis Labs Nota
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Caption Health
Our AI technology allows healthcare providers to perform high quality ultrasound exams wherever and whenever patients require them. Ultrasound is a safe and highly effective diagnostic tool. However, it can be difficult to master and requires years of specialized training. Image quality can also vary. The exam requires unnatural hand-eye coordination as well as unintuitive visuals. Traditional ultrasound software doesn’t give instructions on how to move an ultrasound transducer to capture a picture, nor any feedback on the quality of the images being captured. Poor quality images can lead to missed opportunities and misdiagnosis, repeat study, inconsistent interpretation, and even misses. The true value and benefits that ultrasound has to offer have not been fully appreciated. With our technology, any healthcare professional can now capture diagnostic-quality images using ultrasound thanks to AI that guides them through each step of the scanning process.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Autogon
Headquarters:
United States
Website:
medgnosis.ai/
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Product Details
Platforms
SaaS
Android
Type of Training
Documentation
In Person
Customer Support
Online
Medgnosis Features and Options
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