Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Imaging groups collaborate on ethics in AI draft document

The American College of Radiology (ACR) is asking for comments to be submitted by April 15.

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Verily, Google launch AI-powered screening program for eye disease

Verily and Google have launched a new program that brings machine learning-powered screening for two diabetic eye diseases to patients in India.

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Imaging societies collaborate on draft document about ethics of AI in radiology

Several imaging societies, including the American College of Radiology (ACR) and European Society of Radiology, have published a consensus draft document focused on the ethics of AI in radiology.

Google, Verily develop AI algorithm to detect diabetic eye disease from imaging exams

Google and its sister company Verily announced on Monday, Feb. 25, the development of an AI-based algorithm that can screen eye imaging exams for diabetic retinopathy and diabetic macular edema—two of the leading causes of preventable blindness in adults with diabetes, according to a recent report by CNBC.  

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2 AI algorithms designed to flag acute conditions gain CE mark

Zebra Medical Vision, a Shefayim, Israel-based medical imaging analytics company, announced that it has received CE certification for two AI-based algorithms aimed at improving care in the emergency department (ED).

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AI solution for pulmonary embolism workflow receives CE certification

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced that its AI-based solution for improving pulmonary embolism (PE) workflow has received CE certification.

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AI detects schizophrenia from fMRIs with 87% accuracy

A new AI-based software called the Ensemble Algorithm with Multiple Parcellations for Schizophrenia Prediction, or EMPaSchiz, can identify schizophrenia on fMRI scans with 87 percent accuracy, according to a recent report by AI in Healthcare.  

Aidoc announces CE mark for the first AI-based workflow tool for Pulmonary Embolism

Aidoc’s solution for flagging and prioritizing pulmonary embolisms is now commercially available in Europe