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Cloud-based imaging: The new catalyst for healthcare transformation

AuntMinnie

When it comes to medical imaging, radiology is what most often comes to mind, and for good reason. A large percentage of medical imaging created by most hospitals tends to come from the radiology department. In most cases, medical images and scans are placed into an electronic medical record (EMR) as a link.

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ARRS: Dartmouth poster wins for CVD risk prediction potential using mammograms

AuntMinnie

Produced by Jessica Hitchcock, MD, and researchers from Dartmouth Hitchcock Medical Center in New Hampshire, the poster demonstrated how fat-enlarged nodes may be associated with high CVD risk, type 2 diabetes, and hypertension. In the future, this work could improve risk stratification without additional cost or additional testing.

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ChatGPT identifies incidental CT findings

AuntMinnie

A team led by Rajesh Bhayana, MD, from Toronto General Hospital in Canada found that the large language model achieved a perfect F1 score for incidental adrenal nodules and highlighted that their results show that such models can be applied flexibly in medical settings. for new adrenal nodules.

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Patient access to imaging reports faster post-Cures Act enactment

AuntMinnie

Researchers led by Nelly Tan, MD, from the Mayo Clinic in Phoenix, AZ, also found that after implementing institutional policies to comply with the act’s information-blocking provisions, more patients accessed their reports before the ordering provider did.

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Standardized reporting categorizes breast cancer detection methods

AuntMinnie

Alan Zhu from the Mayo Clinic in Phoenix, AZ, and colleagues determined that such a system led to high reporting accuracy at a sustained rate that improved over time. For the standardized system, radiologists were asked to research the electronic medical record and categorize the method of detection for each breast finding undergoing biopsy.

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Key interventions cut delays for MRIs performed on sedated patients

AuntMinnie

The group -- which included radiologists, MRI technologists, radiology and outpatient clinic nursing staff, anesthesiologists, and a pediatrician -- identified particular stages in the imaging process where delays could occur. The hospital performs 32,000 MRI exams per year.)

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

The investigators used patient demographic data taken from electronic medical records and identified instances of cancer from a regional tumor registry. Senior author Constance Lehman, MD, PhD, of Harvard Medical School in Boston said the team is poised to translate these findings into improved clinical care for patients.