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Artificial Intelligence

Image: The XVS allows surgeons to see and navigate inside a patient’s body through skin and tissue, for easier, faster and safer surgeries (Photo courtesy of Augmedics).

AR Surgical System Enables See-Through Spine Surgery

Augmedics, a developer of an augmented-reality (AR) surgical navigation system, has successfully completed its second cadaver study using its xvision-spine system (XVS) with surgeons from Johns Hopkins Hospital, as well as two surgeons from hospitals in Israel. During the study, the surgeons placed 120 pedicle screws in five separate cadavers with a screw placement accuracy of 96.7% when employing the combined Heary-Gertzbein grading scheme. More...
26 Apr 2018
Image: The Second Read (SR) system is designed to identify various cell types and features within whole slide images (Photo courtesy of Ibex Medical Analytics).

AI-Based Cancer Diagnosis System Eliminates Errors

The first-ever artificial intelligence (AI)-based digital pathology diagnostic system has been deployed in a live clinical setting, following a pilot period, in which the system identified isolated major errors in retrospective prostate core needle biopsies (PCNBs) that had been diagnosed as benign. More...
25 Apr 2018
Image: The IDx-DR system is designed to analyze images of the eye taken with a retinal camera and detect diabetic retinopathy (Photo courtesy of IDx).

AI Device for Diabetic Retinopathy Receives FDA Approval

The first-ever medical device to use artificial intelligence (AI) for detecting diabetic retinopathy has received marketing approval from the US Food and Drug Administration (FDA). The AI-based diagnostic system named IDx-DR, which has been developed by privately-held AI diagnostics company IDx, is the first device to be authorized for marketing that provides a screening decision without the need for a clinician to also interpret the image or results. This means that the device can also be used by health care providers who may not normally be involved in eye care. More...
24 Apr 2018
Image: JLK Inspection has developed an AI-based platform designed to assist doctors in quickly classifying the cause of a stroke (Photo courtesy of JLK Inspection).

AI-Based Platform Designed to Classify Strokes Quickly

An artificial intelligence (AI)-based stroke diagnosis platform designed to assist doctors in quickly classifying the cause of a stroke has completed clinical trials and is expected to provide key information to determine treatment for stroke, leading to faster and more-precise decision-making for patients. More...
24 Apr 2018

Breast Density Assessment Software Receives FDA Clearance

The US Food and Drug Administration (FDA) has given 510(k) clearance to a machine learning breast density assessment software that empowers radiologists with standardized, personalized and automated density reports to optimize women’s breast health and follow-up care decisions. The software is now cleared for clinical use in the US, Europe, Canada and Australia, and is the first of several follow-on products to be launched by Densitas Inc., a developer of breast imaging analytics. More...
24 Apr 2018
Image: A new artificial-intelligence-based approach to image reconstruction – called AUTOMAP – yields higher quality images from less data, reducing radiation doses for CT and PET and shortening scan times for MRI. Shown here are MR images reconstructed from the same data with conventional approaches (left) and AUTOMAP (right) (Photo courtesy of Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital).

New AI Technique Dramatically Improves Quality of Medical Imaging

Researchers have developed a new technique based on artificial intelligence (AI) and machine learning that enables radiologists to acquire higher quality images without having to collect additional data at the cost of increased radiation dose for computed tomography (CT) and positron emission tomography (PET) or uncomfortably long scan times for magnetic resonance imaging (MRI). More...
05 Apr 2018

Canon Medical Systems Initiates Collaborative Research On AI in MR Imaging

Canon Medical Systems Corporation, along with Kumamoto University and the University of Bordeaux, has initiated collaborative research on the application of Deep Learning Reconstruction (DLR), an Artificial Intelligence (AI)-based technology in magnetic resonance (MR) imaging. More...
05 Apr 2018
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 The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.