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Artificial Intelligence

Machine Learning Shows Promise for Supporting Medical Decisions

A number of studies presented at the 67th Annual Scientific Session of the American College of Cardiology demonstrated how machine learning can be used to accurately predict clinical outcomes in patients with known or potential heart problems. The findings of these studies indicate that machine learning can usher in a new era in digital health care tools capable of enhancing health care delivery by aiding routine processes and helping physicians to assess the patients’ risk. More...
01 Mar 2018
Image: The software engine named Transpara DBT is intended to assist radiologists in reading digital breast tomosynthesis and mammography exams (Photo courtesy of ScreenPoint Medical).

AI-Driven Software Assists Radiologists in Reading Exams

An Artificial Intelligence (AI)-driven decision support software engine, which assists radiologists in reading digital breast tomosynthesis (DBT) and mammography exams on breast-reading workstations, was launched at the European Congress of Radiology (ECR), Vienna, Austria, February 28 – March 4, 2018. The software engine named Transpara DBT was launched by ScreenPoint Medical, which develops and markets image analysis technology and services for automated reading of mammograms and digital breast tomosynthesis exams, exploiting Big Data, Deep Learning and the latest developments in AI. More...
01 Mar 2018
Image: When Oncology AI is used in combination with the company’s web-based offering, clinicians can measure and track tumors or potential cancers and apply radiological standards (Photo courtesy of Arterys).

AI Oncology Imaging Suite Gains FDA Clearance

Arterys Inc., a provider of intelligent cloud-based medical imaging software solutions, has received its fifth 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its Arterys Oncology AI suite. More...
27 Feb 2018

AI Algorithm Could Help Fight TB and Gonorrhea

Researchers from the Viterbi School of Engineering at the University of Southern California have created an algorithm that could help public health programs better locate and treat people with undiagnosed infectious diseases, such as tuberculosis, malaria and gonorrhea. More...
27 Feb 2018

AI Applications Predict Part Failures in Imaging Modalities

Machine data analytics company, Glassbeam, Inc. has built Artificial Intelligence (AI) applications powered by Machine Learning (ML) models for predicting part failures in expensive imaging modalities. The new applications delivered in real time through cloud-based dashboards and rules-based alerts are expected to change the way equipment maintenance is currently performed by in-house support staff at healthcare providers, independent service organizations (ISOs), and OEMs. More...
23 Feb 2018
Image: The Viz.AI Contact triage software uses an AI algorithm to analyze images for indicators associated with a stroke (Photo courtesy of Viz.ai).

Stroke Detection Software Receives FDA Clearance

The US FDA has approved a new clinical decision support software that notifies neurologists about a potential stroke in their patients by analyzing computed tomography (CT) results. The tool named Contact has been developed by Viz.ai, a direct-to-intervention healthcare company that uses artificial intelligence (AI) and deep learning algorithms to analyze medical data and improve medical workflow. More...
21 Feb 2018

AI in Medical Imaging to Surge in Coming Years

The use of machine learning or artificial intelligence (AI) technology by hospitals and imaging centers is expected to surge by 2020, with its highest application to be in the area of breast imaging. More...
21 Feb 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.
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