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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artificial intelligence industry

Industry Watcher’s Digest

Buzzworthy developments of the last few days.

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7 AI powerhouses make 8 commitments on model development

Seven of the most competitive tech companies have publicly pledged to follow some specific guidelines when advancing AI technologies.

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Evidence supporting use of radiomics is 'insufficient' and 'weak,' according to new meta-analysis

Although the predictive power of radiomics has been touted as a tool that could improve patient outcomes, the method has a long way to go before it can be reliably introduced into real-world clinical environments.

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Scientists train artificial intelligence to mimic the gaze of radiologists reading images

"This system is bringing with it a greater humanization of AI and therefore a more realistic representation of what we do as radiologists,” one member of the specialty said. 

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5 roles radiologists can fill in the burgeoning $576M imaging AI industry

“When choosing a role, radiologists should consider their unique strengths, availability, and personal and financial risk tolerance," experts advised. 

artificial intelligence industry digest

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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Voices from the AI beat on Llama 2, Meta’s freebie bid to outpace ChatGPT

Mark Zuckerberg’s Meta is offering the latest version of its large language AI model, Llama 2, for free and on an open-source basis.

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AI trained on adult data set performs adequately when turned toward pediatric population

Despite an explosion in new AI tools available to assist radiologists in their work, there remains a paucity of options in the pediatric space. 

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