Artificial Intelligence

This channel includes news and technology innovations for artificial intelligence (AI) software, also referred to as deep learning, cognitive computing and machine learning. AI technology is being integrated in radiology for imaging appropriate use criteria (AUC), clinical decision support, predictive analytics and to assist radiologists with improved workflow.

FDA 510(k) clearance for AI-enabled Philips MR for Calculating Attenuation (MRCAT) Head and Neck radiotherapy application expands range of MR-only workflows
News | Magnetic Resonance Imaging (MRI)
Philips Advances MR Radiotherapy Imaging and Simulation for Head and Neck Cancers

October 20, 2022 — Royal Philips, a global leader in health technology, announced two new advances in MR-only workflows ...

Time October 20, 2022
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Blue Earth Diagnostics, a Bracco company and recognized leader in the development and commercialization of innovative PET radiopharmaceuticals, today announced the signing of a data-sharing agreement with Siemens Healthineers and the University Hospital of the Technical University of Munich (TUM) for anonymized 18F-rhPSMA-7.3 clinical data and images.
News | PET Imaging
Blue Earth Diagnostics Announces Data-sharing Agreement with Siemens Healthineers and the University Hospital of Technical University of Munich (TUM) for 18F-rhPSMA-7.3

October 19, 2022 — Blue Earth Diagnostics, a Bracco company and recognized leader in the development and ...

Time October 19, 2022
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Annalise Enterprise CTB, the world's most comprehensive decision-support solution for non-contrast CT brain, will improve clinical accuracy and efficiency
News | Artificial Intelligence
Austrailian Healthtech Leader Analise.ai Releases Next-Generation CT Brain AI Solution for Clinical Use

October 18, 2022 — Global medical imaging AI leader annalise.ai announced that its latest product release, an AI-enabled ...

Time October 18, 2022
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Carestream’s leading AI solutions help improve clinical outcomes and patient care
News | Artificial Intelligence
Carestream Scientist to Discuss Role of Artificial Intelligence in Radiology at RSNA 2022

October 17, 2022 — Carestream Health will demonstrate the value and impact of artificial intelligence (AI) in radiology ...

Time October 17, 2022
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With the DDR image data, Dr. Hussain was able to visualize changes in shoulder pathology and, using the proof-of-concept AI tool, acquire measurements to calculate the scapulohumeral rhythm (SHR).
News | Digital Radiography (DR)
Emory Healthcare Researcher Wins Two Awards Using Konica Minolta’s AI Analysis Tool With Dynamic Digital Radiography in Shoulder Pathology

October 17, 2022 — Konica Minolta Healthcare Americas, Inc., congratulates the Emory Healthcare researchers that won two ...

Time October 17, 2022
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By integrating Medo’s AI, Exo enables more caregivers in more settings to capture and interpret medical images – allowing faster and more accurate diagnoses and treatment
News | Artificial Intelligence
Exo Acquires Medo AI to Make Medical Imaging as Easy as Snapping a Smartphone Photo

October 7, 2022 — Exo (pronounced “echo”), a pioneering health information and medical devices company, announced that ...

Time October 07, 2022
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MULTI and Enlitic collaborate to deliver the Enlitic Curie platform to market through MULTI’s expansive hospital network
News | Artificial Intelligence
Multi Inc. and Enlitic Partner to Deliver AI Powered Workflow Advantages to Radiologists

October 6, 2022 — Enlitic, a leading healthcare IT company, announced a new partnership with MULTI Inc., a provider of ...

Time October 06, 2022
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Avicenna.AI are a medical imaging AI developer, optimizing radiologists’ manual tasks and identifying acute abnormalities. This partnership involves their stroke product suite, which enables automatic identification and triage for acute stroke.
News | Artificial Intelligence
Avicenna.AI Partners With deepc to Revolutionize Stroke Patient Care

September 22, 2022 — Medical imaging specialist Avicenna.AI announced a groundbreaking partnership with the MedTech ...

Time September 22, 2022
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As legacy systems continue to be retired due to outdated technology and design, I believe we will see a strong move toward cloud native solutions.
Feature | Information Technology | By Jef Williams
A Change Is Coming

I took my family to Blockbuster this weekend to pick out a movie, hoping there would be something good left to rent ...

Time September 21, 2022
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Feature | Breast Imaging | By Christine Book
Artificial Intelligence System Reduces False-Positive Finding in the Interpretation of Breast Ultrasound Exams

Findings from a clinical trial that used artificial intelligence (AI) in an effort to reduce false positives on breast ...

Time September 21, 2022
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The digital pathology market will continue to grow for the next several years, significantly outpacing the growth rate of picture archiving and communication systems and vendor neutral archives
Feature | Digital Pathology | By Michael Valante
The Collaborative and Diagnostic Benefits Digital Pathology is Delivering to Radiology

With digital pathology now being adopted by institutions around the globe, it is not surprising that we are seeing a ...

Time September 21, 2022
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In conclusion of this two-part series, ITN summarizes the RSNA21 panel of radiologists and biomedical imaging experts discussing the present, and future, state of artificial intelligence in radiology
Feature | Artificial Intelligence | By Christine Book
The State of AI: A Fireside Chat with AI Leaders

What follows is the second part of our coverage of the “Radiology: Artificial Intelligence Fireside Chat” conducted at ...

Time September 16, 2022
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Bridging Gaps Between Understanding Infrastructure, Applications, and End-user Workflows
Sponsored Content | Whitepapers | Information Technology
Healthcare IT and Imaging Applications Monitoring

Large-scale mergers and acquisitions are causing increased strain on IT teams responsible for consolidating and managing ...

Time September 15, 2022
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Analysis of nontumorous portion of pancreas with or without secondary signs of pancreatic cancer by classification models. Blue outline represents the portion of the pancreas analyzed with classification models. The tumor (red outline) was not identified by the segmentation model; thus, it was not analyzed by classification models. (A) Unannotated CT image in a patient with pancreatic head cancer. (B) Nontumorous portion of the pancreas shows secondary signs of pancreatic cancer (dilation of pancreatic duct
News | Artificial Intelligence
AI Helps Detect Pancreatic Cancer

September 14, 2022 — An AI tool is highly effective at detecting pancreatic cancer on CT, according to a study published ...

Time September 14, 2022
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Deciphex, a Dublin, Ireland-based provider of digital pathology software and services, has announced the launch of their Diagnexia service in the United States.
News | Digital Pathology
Deciphex Launches its Diagnostics as a Service (DxaaS) in US

September 13, 2022 — Deciphex, a Dublin, Ireland-based provider of digital pathology software and services, has ...

Time September 13, 2022
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The innovation centre will explore the role of AI in detecting abnormalities for musculoskeletal, chest, and neuro condition
News | Artificial Intelligence
Qure.ai and Erasmus MC Launch AI Innovation Centre for Medical Imaging

September 9, 2022 — Leading health tech firm Qure.ai has partnered with Erasmus MC, University Medical Center Rotterdam ...

Time September 09, 2022
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Image courtesy of Siemens Healthineers
News | Computed Tomography (CT)
Novel Photon-Counting CT Improves Myeloma Bone Disease Detection

September 6, 2022 — New CT technology paired with artificial intelligence (AI)-based noise reduction offers superior ...

Time September 06, 2022
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TB is an infectious disease of the lungs that kills more than a million people worldwide every year.
News | Artificial Intelligence
AI-based System Shows Promise in Tuberculosis Detection

August 31, 2022 — An artificial intelligence (AI) system detects tuberculosis (TB) in chest X-rays at a level comparable ...

Time August 31, 2022
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AI technology for MRI data analysis by Prof. Dr. Shadi Albarqouni, Professor of Computational Medical Imaging Research at University Hospital Bonn and Helmholtz AI Junior Research Group Leader at Helmholtz Munich. Image courtesy of © Johann F. Saba, University Hospital Bonn (UKB)
News | Magnetic Resonance Imaging (MRI)
Efficient AI Technology for MRI Data Analysis

August 26, 2022 — An algorithm developed by researchers from Helmholtz Munich, the Technical University of Munich (TUM) ...

Time August 26, 2022
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Example of how improper feature removal from imaging data may lead to bias. (A) Chest radiograph in a male patient with pneumonia. (B) Segmentation mask for the lung, generated using a deep learning model. (C) Chest radiograph is cropped based on the segmentation mask. If the cropped chest radiograph is fed to a subsequent classifier for detecting consolidations, the consolidation that is located behind the heart will be missed (arrow, A). This occurs because primary feature removal using the segmentation m
News | Artificial Intelligence
Special Report Lays Out Best Practices for Handling Bias in Radiology AI

August 26, 2022 — With the increasing use of artificial intelligence (AI) in radiology, it is critical to minimize bias ...

Time August 26, 2022
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