Advanced Visualization Special Feature

Jan 17, 2022

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How to generate patient-specific augmented reality models

How to generate patient-specific augmented reality models

Researchers from New York University discussed the benefits of augmented reality (AR) and shared their workflow for creating patient-specific AR models. Read more

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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

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Nominations Are Open — 2026 Minnies

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

DEXA reveals tea consumption supports bone health

Moderate-frequency tea consumption was associated with better bone mineral status and more favorable longitudinal changes.

August 12, 2026

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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

Trial findings directly address the current lack of effective lung cancer screening interventions.

August 11, 2026

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

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

What happened at a Redwood City hospital in California in 2023.

August 11, 2026

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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

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

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CT 5-star quality rating system supports optimization

The rating framework demonstrated robust reproducibility, with three-reader concordance reaching up to 93% in highly standardized centers.

August 7, 2026

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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

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Bone scan testing has fallen 35% among Medicare beneficiaries

Declines in testing were greatest among certain underserved groups.

August 7, 2026

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

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