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Video: Howard Chen talks AI implementation and development trends
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AI policy expert Rohini Kosoglu delivered the keynote address at the opening session of SIIM on May 21.
SIIM: Who will win the AI revolution in health care?
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SIIM: Are foundation models the future for AI in radiology?
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Video: Howard Chen talks AI implementation and development trends
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We caught up in Portland with Howard Chen, MD, of the Cleveland Clinic to hear about the latest trends in radiology AI technology development and implementation.
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In a video interview, Florence Doo, MD, of the University of Maryland spoke about sustainability issues with radiology AI technology.
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The question facing the healthcare industry is, "Who will win the AI revolution?"
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AI policy expert Rohini Kosoglu delivered the keynote address at the opening session of SIIM on May 21.
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AI foundation models are booming in health care and hold significant promise in radiology.
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Training program leads to lung ultrasound success for paramedics
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Paramedics who underwent a short training program saw their lung ultrasound skills improve.
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Fine-tuned large language models (LLMs) may enhance error detection in radiology reports, a study suggests.
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Abbreviated MRI suffices in imaging dense breasts
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Abbreviated MRI produces images at a comparable quality to that of multiparametric MRI in imaging dense breasts.
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Abbreviated axial MRI images show a 7-mm irregular mass with irregular margin (arrows) in the right upper inner quadrant with early rapid enhancement (BIRADS 4). The participant was recalled and underwent an MRI-guided vacuum-assisted biopsy that showed sclerosing adenosis with microcalcifications and usual ductal hyperplasia and focal apocrine metaplasia. On the full-protocol images (not shown), the lesion was T2-weighted hypointense and showed diffusion restriction and washout kinetics in the delayed phase, characteristics that would not have reversed the decision to recall the participant.
How accurate is the 'Final Destination Bloodlines' MRI scene?
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FAPI-SPECT/CT shows promise diagnosing gastrointestinal cancer
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Representative F-18 FDG-PET/CT and Tc-99m FAPI-SPECT/CT scans for five study patients with gastrointestinal cancer. FDG-PET/CT and FAPI-SPECT/CT images show that uptake occurred in metastatic lymph nodes (LNs) (patient number 50, D) and bone metastases (patient number 33, C). FAPI-SPECT/CT outperformed FDG-PET/CT in detecting liver metastases (patient number 3, A; and 15,B) and peritoneal spread metastases (patient number 27, E). Red arrows indicate foci additionally found by FAPI-SPECT/CT.
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Is more reliance on advanced imaging leading to higher workloads?
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The increased use of advanced imaging exams may be tied to increased radiology workloads, and the COVID-19 pandemic may have played a part.
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