Teleradiology and malpractice: interpreting the risk in context

Insights into Imaging · Published 2026-06-03 · DOI 10.1186/s13244-025-02032-3

Free full text

Authors (4)

Mustafa S. Alhasan, Ahmed Y. Azzam, Anjali Agrawal, Arjun Kalyanpur

Abstract

DOAJ holds no abstract for this record.

Read the article at the publisher →

Publication details

Year

2026

Citation

Alhasan, M., Azzam, A., Agrawal, A., et al. (2026). Teleradiology and malpractice: interpreting the risk in context. Insights into Imaging. https://doi.org/10.1186/s13244-025-02032-3

Related articles

• Deep learning–based CT slice synthesis improves radiomic feature reproducibility and discriminative performance in lung nodule assessment · Insights into Imaging · 2026 · Same journal
• Percentage signal recovery plus relative cerebral blood volume: a practical dual-parameter strategy for differentiating post-stereotactic radiosurgery tumour progression from radiation necrosis in brain metastases · Insights into Imaging · 2026 · Same journal
• A pre-trained foundation model framework for multiplanar MRI classification of extramural vascular invasion and mesorectal fascia invasion in rectal cancer · Insights into Imaging · 2026 · Same journal
• A radio-pathological fusion model for predicting PD-L1 expression and immunotherapy response in non-small cell lung cancer · Insights into Imaging · 2026 · Same journal
• Reduced environmental impact in body CT imaging with deep learning reconstruction: experience of a high-volume tertiary referral center · Insights into Imaging · 2026 · Same journal
• Multi-component radiological model based on intratumoral CT threshold segmentation for predicting visceral pleural invasion in lung adenocarcinoma ≤ 30 mm · Insights into Imaging · 2026 · Same journal
• Critical dialogue: Interstitial lung abnormalities: an evolving concept · Insights into Imaging · 2026 · Same journal
• A review of radiological characteristics and patterns of fat necrosis after different autologous breast surgery techniques · Insights into Imaging · 2026 · Same journal
• MRI- and report-based multimodal model with SHAP-based explanation for preoperative prediction of deep stromal invasion in early-stage cervical cancer · Insights into Imaging · 2026 · Same journal
• Assessment of inter-reader agreement and diagnostic performance of Node-RADS in colon cancer · Insights into Imaging · 2026 · Same journal