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Philips inks Indonesian AI memorandum of understanding

AuntMinnie

Philips has inked a memorandum of understanding (MOU) with Siloam Hospitals Group, a private healthcare provider in Indonesia. The MOU will allow Philips to offer its AI capabilities to the Indonesian healthcare sector.

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Key interventions cut delays for MRIs performed on sedated patients

AuntMinnie

A team led by Aric Lee, MBBS, of National University Hospital in Singapore found that relatively straightforward initiatives such as workflow standardization and preadmission patient counseling cut delays for these types of exams by more than 30%. The hospital performs 32,000 MRI exams per year.) Of these, 88.7%

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New Non-Acute Care Roadmap: HIMSS Digital Maturity Model Strategy

Imaging Technology

C-COMM is a modernized rendition of the Outpatient Electronic Medical Record Adoption Model, which measured digital maturity of outpatient clinics. “The majority of the world’s population seek their health services outside the traditional hospital setting,” said Toni Laracuente , HIMSS Sr.

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C-COMM: HIMSS New Non-Acute Care Digital Maturity Model

Imaging Technology

C-COMM is a modernized rendition of the Outpatient Electronic Medical Record Adoption Model, which measured digital maturity of outpatient clinics. “The majority of the world’s population seek their health services outside the traditional hospital setting,” said Toni Laracuente , HIMSS Sr.

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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.

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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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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

The findings offer another way to foster breast cancer early detection, improve patient survival rates across different populations, and reduce disparity in survival rates, said study lead author Leslie Lamb, MD, of Massachusetts General Hospital (MGH) in Boston in a statement. “In Image and caption courtesy of RSNA.