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. 

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Neuroimaging experts are using AI to establish imaging biomarkers for brain disorders

Experts at Georgia State University are using thousands of datasets and various imaging modalities to investigate bipolar disorder, schizophrenia and depression.

AI–spectroscopy combo rats out fentanyl and its illicit kin

Researchers have developed an AI algorithm that can identify illegally cooked-up fentanyl, teaching itself to spot dangerous new impostors as it goes.

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AI safeguards imaging devices from ‘malicious’ cyberattacks

Researchers with Ben-Gurion University of the Negev in Israel presented their work at the 2020 International Conference on Artificial Intelligence in Medicine.

Using virtual imaging trials to optimize care for COVID-19 patients

Duke University researchers described their experience with COVID imaging simulators, Friday in AJR.

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Brain imaging may be a critical tool to the future of mental health care

A machine learning algorithm proved highly accurate at diagnosing neurological disorders on MRI scans, experts out of Tokyo reported recently.

Testing Exam

ABR taps experts for online testing help; SimonMed’s AI deal, plus more radiology vendors news

Also, RSNA reveals virtual exhibition details, Change acquires Nucleus.io and the FDA clears two artificial intelligence offerings from Siemens. 

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‘Selfies’ that save lives: AI detects heart disease using photographs

The AI algorithm was trained using photographs of more than 5,000 patients. 

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Smartphone cameras use AI to detect diabetes

It has been estimated that more than 200 million people around the world have diabetes and don’t know it. Could AI technology and smartphone cameras help reverse that trend?