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    Latest in Home
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    DEXA reveals tea consumption supports bone health
    August 12, 2026
    Breast Mammo Computer 400 (3)
    AI tools may not meet breast radiologists' expectations in practice
    August 12, 2026
    Nominations Are Open — 2026 Minnies
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    August 6, 2026
    Example cases illustrate the double-edged role of large language model (LLM) rationale quality. (A) A 50-year-old female patient with a palpable anterior chest wall mass (correct diagnosis: solitary fibrous tumor of the pleura). The LLM incorrectly suggested synovial sarcoma but provided a persuasive rationale (quality score: 4 of 5), describing a well-defined nodule at axial contrast-enhanced CT spanning the pleura and intercostal space with heterogeneous strong enhancement. Four of five readers (80%) accepted the incorrect suggestion. FDG = fluorodeoxyglucose. (B) A 61-year-old male patient with diabetes presented with cough, sputum, and dyspnea (correct diagnosis: mucormycosis). The LLM correctly suggested mucormycosis with an excellent rationale (quality score: 5 of 5), integrating the reverse halo sign on serial axial CT images and rapidly progressive cavitary lesions. Three of five readers initially selected incorrect diagnoses; after LLM output, all five selected the correct diagnosis (100% acceptance). Blue and orange reader icons denote high- and low-expertise readers, respectively.
    Model confidence, reader expertise affect reader-LLM collaboration
    August 11, 2026
    More in Home
    DEXA reveals tea consumption supports bone health
    By Will Morton
    Moderate-frequency tea consumption was associated with better bone mineral status and more favorable longitudinal changes.
    August 12, 2026
    Adobe Stock 285124452
    AI tools may not meet breast radiologists' expectations in practice
    By Amerigo Allegretto
    AI tools in breast imaging may have more modest clinical impact on recall and biopsy rates.
    August 12, 2026
    Breast Mammo Computer 400 (3)
    Stepped reminders boost CT lung cancer screening
    By Will Morton
    Trial findings directly address the current lack of effective lung cancer screening interventions.
    August 11, 2026
    Lung Cancer
    Model confidence, reader expertise affect reader-LLM collaboration
    By Amerigo Allegretto
    Successful human-LLM collaboration is associated with model confidence and reader expertise in chest imaging.
    August 11, 2026
    Example cases illustrate the double-edged role of large language model (LLM) rationale quality. (A) A 50-year-old female patient with a palpable anterior chest wall mass (correct diagnosis: solitary fibrous tumor of the pleura). The LLM incorrectly suggested synovial sarcoma but provided a persuasive rationale (quality score: 4 of 5), describing a well-defined nodule at axial contrast-enhanced CT spanning the pleura and intercostal space with heterogeneous strong enhancement. Four of five readers (80%) accepted the incorrect suggestion. FDG = fluorodeoxyglucose. (B) A 61-year-old male patient with diabetes presented with cough, sputum, and dyspnea (correct diagnosis: mucormycosis). The LLM correctly suggested mucormycosis with an excellent rationale (quality score: 5 of 5), integrating the reverse halo sign on serial axial CT images and rapidly progressive cavitary lesions. Three of five readers initially selected incorrect diagnoses; after LLM output, all five selected the correct diagnosis (100% acceptance). Blue and orange reader icons denote high- and low-expertise readers, respectively.
    PET/CT predicts response to neoadjuvant therapy in breast cancer
    By Will Morton
    Monitoring neoadjuvant therapy response in HER2-positive breast cancer is challenging with existing tools.
    August 11, 2026
    Ga-68 HER2-PET/CT images before neoadjuvant therapy, at end of second cycle, and before surgery. (A) Baseline scan demonstrated soft-tissue lesion measuring approximately 2.3 × 2.2 cm in upper outer quadrant of left breast, with marked radiotracer uptake and SUVmax of 10.1. (B) At end of second cycle, imaging revealed residual lesion of approximately 2.2 × 1.0 cm in same region, without abnormal radiotracer accumulation. (C) Preoperative imaging demonstrated further reduction in lesion size to approximately 2.0 × 0.6 cm, with no abnormal tracer uptake detected.
    5 factors that led to California workplace MRI accident
    By Liz Carey
    What happened at a Redwood City hospital in California in 2023.
    August 11, 2026
    The Invisible Force Podcast Album Cover Auntminnie Jan 2026 Thumbnails
    NME breast lesions have high malignancy rate on MRI-guided biopsy
    By Amerigo Allegretto
    Biopsies from women with a known ipsilateral malignancy have a higher frequency of breast cancer.
    August 10, 2026
    Mri Breast 400
    Many women interested in AI-based risk assessment for breast cancer
    By Amerigo Allegretto
    Survey findings also show that most women at higher risk are interested in additional screening tests.
    August 10, 2026
    Breast Cancer 400
    CT 5-star quality rating system supports optimization
    By Will Morton
    The rating framework demonstrated robust reproducibility, with three-reader concordance reaching up to 93% in highly standardized centers.
    August 7, 2026
    Radiation Symbol
    READ-DVT model performs well in finding DVT from ultrasound reports
    By Amerigo Allegretto
    The AI model accurately identified the presence or absence of deep vein thrombosis on unstructured ultrasound reports.
    August 7, 2026
    Radiological Report 400
    Bone scan testing has fallen 35% among Medicare beneficiaries
    By Will Morton
    Declines in testing were greatest among certain underserved groups.
    August 7, 2026
    Dexa
    MRI-based models may predict atypical brain development in children
    By Amerigo Allegretto
    The models could provide a framework for identifying which adolescents are at higher risk of developing psychiatric conditions.
    August 7, 2026
    Child Girl Stuffed Animal 400
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