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. 

Why AI has fallen well short of outsmarting COVID-19

Understood as a virtual army in the war against COVID-19, AI has vast stockpiles of potential weaponry with which to wage many a battle. That’s the good news.

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Advanced imaging IDs antibody for potential COVID-19 treatment

“We are very excited to have found this potent neutralizing antibody that we hope will participate in ending the COVID-19 pandemic,” said project co-lead David Veesler, PhD, with the University of Washington in Seattle.

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University receives $5.9M grant for neuroimaging, clinical research into mood disorders

“By examining cognitive dysfunction patterns within an individual, we can develop better risk assessment tools that will allow quick therapeutic interventions before relapses occur,” said co-investigator of the project Olusola Ajilore, MD, PhD, with the University of Illinois at Chicago.

AI’s ‘radical potential’ to personalize medicine using population data

Clinicians equipped with machine learning can, in theory, apply what works for one patient to the care of another—and another, and another—and so on.

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Health system launches ‘second opinion’ AI for diagnosing COVID-19 in chest scans

The algorithm's sensitivity edged out that of trained radiologists at identifying signs of the disease on chest CT scans, Mount Sinai researchers explained recently.

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Machine learning uses imaging to predict heart damage in COVID-19 patients

Johns Hopkins has scored a $195,000 grant from the National Science Foundation, with its scientists now beginning the first phase of the one-year research project.

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Artificial intelligence-based imaging reconstruction may lead to incorrect diagnoses, experts caution

That’s according to the results of a new investigation, led by University of Cambridge experts and published 
in the Proceedings of the National Academy of Sciences. 
 

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Deep learning automatically measures key features of TBI

If validated further, the algorithm could be used to flag urgent scans in radiology workflows, especially in resource-strapped regions.