Clinic Image Interpretation Patient Care 
AuntMinnie
APRIL 2, 2025
of office-based studies were interpreted by the ordering provider, and 58.5% were interpreted within the ordering provider's practice -- results that could have negative ramifications for patient care, according to study coauthor Vijay Rao, MD, of Thomas Jefferson University in Philadelphia. An HPI team found that 43.6%
AuntMinnie
FEBRUARY 4, 2025
Radiologists highly prefer patient clinical histories generated by large language models (LLMs) for oncologic imaging requisitions to those typically produced by referring physicians,according to research published February 4 in Radiology.
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AuntMinnie
MAY 29, 2024
Proponents of AI in radiology highlight the technology’s potential in assistant radiologists with image interpretation as well as improving patient care. “Biased data results in biased AI models,” Yahyavi said.
AuntMinnie
JANUARY 30, 2024
AI improves chest x-ray imaging interpretation by nonradiologist practitioners, which could be useful in low-resource settings, according to research published January 29 in Chest. That last part can be challenging for nonradiologists who do not constantly interpret diagnostic imaging exams.
Imaging Technology
NOVEMBER 14, 2024
This new approach strives to put clinicians in the driver’s seat, allowing them to evaluate the utility of different AI technologies and ultimately, determine which solutions have the greatest promise to advance patient care.” Only verified healthcare professionals can participate in challenges that contribute to the rankings.
Aidoc
FEBRUARY 16, 2025
The rising demand for imaging services, coupled with an aging population and ever-increasing shortage of radiologists, creates the perfect storm for backlogs on a reading list. At seven days post-imaging, nearly half had unreported brain and chest CT scans, while 59% had unreported chest radiographs. The consequences are significant.
Imaging Technology
JULY 28, 2023
The intent of the NCCN Guidelines is to assist in the decision-making process of individuals involved in cancer care—including physicians, nurses, pharmacists, payers, patients and their families—with the ultimate goal of improving patient care and outcomes. POSLUMA was approved by the U.S. Teoh, MBBS, MRCP, FRCR, D.Phil.,
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