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Radiologists August 10, 2023

Are Doctors Overpaid? August 10, 2023

A new study on physician salaries is raising questions about pay for US physicians and whether it contributes to rising healthcare costs.

Artificial Intelligence August 7, 2023

Grading AI Report Quality August 7, 2023

How can you tell whether the quality of a radiology report generated by an AI algorithm is comparable to that of a radiologist?

Breast Imaging August 3, 2023

Mammography AI’s Leap Forward August 3, 2023

AI for mammography screening cut radiologist workload almost by half without affecting cancer detection or recall rates in a new study out of Sweden.

Breast Imaging July 31, 2023

Breast Ultrasound Gets Wearable July 31, 2023

Wearable devices are all the rage in personal fitness – could wearable breast ultrasound be next?

Artificial Intelligence July 27, 2023

Does ‘Automation Neglect’ Limit AI’s Impact? July 27, 2023

Findings from a new study raise questions about whether AI really should be used as a collaborative tool by radiologists.

CT Scanners July 24, 2023

AI Automates Liver Fat Detection July 24, 2023

A new study shows how AI can make opportunistic screening a reality by analyzing abdominal CT scans for signs of fatty liver.

Brain Imaging July 20, 2023

CMS May Shake Up PET Payments July 20, 2023

In a major victory for PET advocates, CMS this week said it was opening a review of its reimbursement policy on PET scans for Alzheimer’s disease.

CT Scanners July 17, 2023

How COVID Crashed CT Scanners in China July 17, 2023

In the early days of the COVID-19 pandemic in China, hospitals were performing so many lung scans of infected patients that CT scanners were crashing.

Brain Imaging July 13, 2023

MRI Findings Linked to Psychosis July 13, 2023

Brain abnormalities were common on MRI in patients presenting with psychosis for the first time, suggesting scans should be a routine part of their evaluation.

Imaging Service July 10, 2023

Undermining the Argument for NPPs July 10, 2023

Non-physician practitioners are reading more medical imaging exams, but new findings raise questions about whether this emerging trend is good for healthcare.

Artificial Intelligence July 6, 2023

Can You Believe the AI Hype? July 6, 2023

A new study found that marketing materials for one-fifth of FDA-cleared AI applications don’t agree with the language in their regulatory submissions.

Artificial Intelligence June 29, 2023

H1 Radiology Recap June 29, 2023

In our wrap-up of the top radiology stories for the first half of 2023, new developments in the use of ChatGPT for imaging clearly generated the most headlines.

Theranostics June 26, 2023

Theranostics Grabs SNMMI Spotlight June 26, 2023

The emerging field of theranostics is one of the most exciting in medicine, and nowhere is this more evident than at this week’s SNMMI 2023.

CT Scanners June 22, 2023

Is There Hope for CT Lung Screening? June 22, 2023

A new study has found CT lung cancer screening rates of 21.2%, much higher than previous estimates.

Imaging IT June 20, 2023

Better Together at SIIM June 20, 2023

In-person meetings like SIIM still have relevance despite the proliferation of Zoom calls and remote work.

Artificial Intelligence June 15, 2023

AI Reinvigorates SIIM 2023 June 15, 2023

The rise of AI has given SIIM a shot in the arm from a content perspective, and the return of in-person meetings plays to the conference’s strength as a hub for networking.

Breast Imaging June 12, 2023

Taking Ultrasound Beyond Breast Density June 12, 2023

Dense breast tissue shouldn’t be the only factor used to decide whether women get supplemental imaging during mammography screening.

Artificial Intelligence June 8, 2023

Mayo’s AI Model June 8, 2023

Mayo Clinic is rolling the AI platform concept out across its entire healthcare enterprise to help clinicians enjoy the benefits of AI without the implementation headache.

Artificial Intelligence June 5, 2023

When AI Goes Wrong June 5, 2023

Radiologists who received incorrect AI results were more likely to make incorrect decisions on patient follow-up.

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