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Harnessing AI for Clinical and Operational Efficiency in Radiology: In Conversation with Sriram Mannava, MD, Columbus Radiology

Aidoc

The implementation of AI in radiology has been nothing short of transformative, offering both financial and clinical benefits. We spoke with Sriram Mannava, MD, President of Columbus Radiology, a Radiology Partners practice, on the positive impact Aidoc has brought to his practice.

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Jury still out on clinical use of ChatGPT

AuntMinnie

ChatGPT has been effective in 84% of radiology research studies, yet it is still too soon to confirm its complete proficiency for clinical applications, according to a team at the University of California, Los Angeles. between ChatGPT's outcomes compared to radiologists’ decisions and/or guidelines as reference standards.

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The Next Generation of Radiologists and Clinical AI

Aidoc

Lee, MD, MBA, Chair, Department of Diagnostic Radiology, Einstein Healthcare Network – Jefferson Health, shared his perspective on how the next generation of radiologists may expand clinical AI use cases. The post The Next Generation of Radiologists and Clinical AI appeared first on Healthcare AI | Aidoc Always-on AI.

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AI model comparable to radiologists for finding prostate cancer on MRI

AuntMinnie

A deep-learning model performs comparably to an abdominal radiologist when it comes to finding clinically significant prostate cancer on MRI, researchers have reported. The study findings were published August 6 in Radiology. External 0.86 External 0.86 The complete study can be found here.

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Experts Outline Considerations to Deploy AI in Radiology

Imaging Technology

RSNA and the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society have led a series of joint panels and seminars focused on the present impact and future directions of AI in radiology. The article also emphasizes the importance of collaboration to improve clinical deployment.

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ChatGPT-4 matches radiologists in flagging errors on reports

AuntMinnie

ChatGPT-4 matched radiologists when tasked with detecting errors in imaging reports, with the study suggesting the technology may be useful for improving reporting accuracy, according to a study published April 16 in Radiology. ChatGPT-4 matched radiologists in detecting errors in radiology reports.

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Qure.ai and Strategic Radiology Announce Collaboration to Assist Radiology Workflow with Innovative AI Algorithms

Imaging Technology

Strategic Radiology , a coalition of independently owned and operated local private radiology practices, and Qure.ai , a global leader in healthcare AI, have formed a partnership to advance clinical accuracy and operational efficiency through easier access to cutting-edge medical imaging AI technology. Recently, Qure.ai

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