Imaging Informatics: Page 17

GPT-4V generates mixed results in online image quiz

A recent study shows the GPT-4 Vision multimodal AI model erred when answering medical quiz questions based on clinical images and a text summary.

July 23, 2024

SCCT: CT-derived CAD metrics raise concern about air pollution

People at high risk of atherosclerotic cardiovascular disease may benefit most from strategies that reduce their exposure to air pollution.

July 20, 2024

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SCCT: AI identifies at-risk cardiac patients from CT images

By Amerigo Allegretto

AI helps identify patients who may benefit from preventive cardiology services via CT images.

July 20, 2024

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Breast Cancer Canada launches research funding fellowship

By AuntMinnie.com staff writers

Breast Cancer Canada is launching a 1-million-Canadian-dollar ($730,695 U.S.) fellowship to expand breast cancer research funding.

July 15, 2024

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AI in radiology: The kids are alright

By Amerigo Allegretto

Young people are optimistic about the use of AI in medicine, including in radiology.

July 15, 2024

CMS proposes coverage of CT colonography screening

By Kate Madden Yee, Erik L. Ridley

The U.S. Centers for Medicare and Medicaid Services (CMS) has proposed to provide Medicare reimbursement for CT colonography for colorectal cancer screening.

July 11, 2024

Experts outline how best to deploy AI in radiology

By AuntMinnie.com staff writers

The RSNA and the MICCAI Society have published a special report on how best to deploy AI tools into clinical radiology practice.

July 11, 2024

AI improves evaluations of knee osteoarthritis on x-rays

A commercially available AI algorithm improved the performance of junior radiologists when grading knee osteoarthritis on x-rays.

July 9, 2024

An example of the study platform as seen by a reader receiving assistance from the AI tool. On the left is the overlay generated by the AI tool. On the right is the grading panel. Note that the grading fields are prefilled with the outputs of the AI tool. In this study, the left knee was to be graded. When the right was to be graded, the grading panel was on the left. The size of some user interface elements, primarily text and buttons, have been enhanced to improve legibility. JSN = joint space narrowing, KL = Kellgren-Lawrence, OST = osteophytes, PA = posteroanterior, SCL = subchondral sclerosis. Image and caption courtesy of Radiology.

Direct imaging inputs improve performance of large language models

By Amerigo Allegretto

Using direct radiologic image inputs can improve the diagnostic accuracy of large language models.

July 9, 2024

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AI increases breast MRI's cancer detection 4-fold

By Amerigo Allegretto

An AI approach for supplemental breast MRI is about four times more efficient at detecting breast cancers than traditional methods.

July 9, 2024

(A) Case A was a 13-mm large BI-RADS 4 finding on MRI that corresponded to a 13-mm large invasive cancer as diagnosed in the surgical specimen. (B) Case B was a 9-mm large BI-RADS 4 finding on MRI that corresponded to an 8-mm invasive cancer and 14-mm ductal cancer in situ. (C) Case C was three suspicious lesions within a total area of 60 mm, BI-RADS 5 finding on MRI, that corresponded to a 50-mm multifocal invasive lobular cancer. (D) Case D was two suspicious lesions, the largest 13 mm, BI-RADS 3 on MRI, which corresponded to a 10-mm invasive lobular cancer with 85-mm extent including ductal cancer in situ. Images courtesy of Nature Medicine. Licensed under CC BY 4.0.

Radiology departments can adopt responsible frameworks to deploy AI

By Amerigo Allegretto

Adopting a responsible framework could help overcome challenges in applying AI to medical imaging.

July 8, 2024

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Machine learning with echo improves heart tumor diagnosis

By Amerigo Allegretto

Machine learning can help improve echocardiography interpretation of heart tumors.

July 2, 2024

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