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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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SIIM: Who will win the AI revolution in health care?
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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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Paramedics who underwent a short training program saw their lung ultrasound skills improve.
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Cystic lung lesions with nodular wall thickening are associated with increased risk of malignancy.
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LLMs may boost error detection in x-ray reports
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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 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.
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FAPI-SPECT/CT is comparable to FDG-PET/CT for detecting lesions in patients with gastrointestinal cancer, a study shows.
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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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