Radiologists
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Cross-Modal Clinical Knowledge Integration for Mammography Report Generation
arXiv:2605.31093v1 Announce Type: new Abstract: Breast cancer is a major global health concern, and mammography screening plays a central role in early detection. The large volume of screening examinations creates a substantial workload for radiologists, making accurate and consistent report generation a critical clinical challenge. Existing automated mammography report generation methods primarily focus on direct visual-to-text mapping, while overlooking the structured clinical reasoning...
A unified multi-task framework enables interpretable chest radiograph analysis
arXiv:2606.03417v1 Announce Type: new Abstract: While multimodal deep learning has advanced medical imaging analysis, existing black-box systems \textcolor{black}{may remain confined to isolated tasks, often overlooking} the trust-sensitive nature of clinical diagnosis as a multi-task process. We propose IMT-CXR (Interpretable Multi-task Transformer for Chest X-ray Analysis), a framework that emulates radiologists' diagnostic workflow through three evidence-driven stages: 1) Disease...
DSU-Net: An Attention-Enhanced Dense Skip U-Net for Breast Lesion Segmentation in Mammographic Images
Announce Type: cross Abstract: Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide, making early detection essential for effective treatment. Mammography is the primary screening modality; however, accurate delineation of suspicious lesions remains challenging and subject to inter-observer variability. Automated segmentation methods can assist radiologists by providing consistent and efficient lesion localization.
Visuotactile and Explicitly Force-Controlled Robotic Ultrasound for Abdominal Volumetric Reconstruction
Announce Type: new Abstract: In this paper, we present a robotic ultrasound acquisition system that integrates stereo vision, touch-based feedback, and expert-informed strategies to perform autonomous and adaptive abdominal scans. The system records freehand motion and force data from expert radiologists, creating a framework to capture transducer motion, applied forces, and anatomical scanning strategies. This expert data is replayed to replicate characteristic scans with the robot, forming...
Astra: a generalizable report generation foundation model for 3D computed tomography
arXiv:2605.31437v2 Announce Type: replace Abstract: CT interpretation requires radiologists to review hundreds of volumetric slices per examination, making reporting time-consuming and highly expertise-dependent. Automated CT report generation offers a promising route to improving clinical efficiency, yet the field still lacks a generalizable CT report generation foundation model that supports multi-region reporting and remains robust across external real-world cohorts. Intrinsic...
The world will be 100 million cancer workers short by 2050, according to Lancet
A new report warns the world is heading towards a cancer care crisis, with cases sharply rising and the workforce failing to keep pace. The world will need nearly 100 million more cancer workers by 2050, a new study warns. The largest gaps will be among nurses and diagnostic specialists, particularly radiologists and pathologists, with Africa and Asia set to be the hardest hit.
Astra: a generalizable report generation foundation model for 3D computed tomography
Announce Type: new Abstract: CT interpretation requires radiologists to review hundreds of volumetric slices per examination, making reporting time-consuming and highly expertise-dependent. Automated CT report generation offers a promising route to improving clinical efficiency, yet the field still lacks a generalizable CT report generation foundation model that supports multi-region reporting and remains robust across external real-world cohorts. Intrinsic inconsistencies in reporting style...
Allegations of double billing and charging for no service at Kalgoorlie hospital
Allegations of double billing and charging for no service at Kalgoorlie hospital Sun 7 Jun 2026 at 10:57am In short: A public hospital been billing Medicare for some private imaging services which are not eligible for bulk billing, according to an internal memo obtained by the ABC. Integral Diagnostics's subsidiary, Apex Radiology, operates at the Kalgoorlie Health Campus in WA's Goldfields-Esperance region. WA Health Minister Meredith Hammat says she has sought advice and will make...
Medical imaging provider to investigate improper Medicare billing allegations
Medical imaging provider to investigate improper Medicare billing allegations Tue 9 Jun 2026 at 1:50pm In short: Integral Diagnostics says it will conduct an external audit to confirm there are no Medicare billing "anomalies" at Kalgoorlie Health Campus. The WA Country Health Service enters billings for some of the radiology services conducted by the company's subsibiary, Apex Radiology. WA's health minister says the matter has been referred to the state's Corruption and Crime Commission.
Sparse-View Lung Nodule Volumetry from Digitally Reconstructed Radiographs via AReT: Anatomy-Regularized TensoRF
arXiv:2606.02639v1 Announce Type: cross Abstract: We identify and resolve a previously unreported failure mode in TensoRF when applied to X-ray attenuation fields: the default density shift of -10, originally introduced for RGB scene reconstruction, suppresses density gradients and prevents sparse-view medical reconstruction regardless of learning rate or regularization strategy. Setting the density shift to zero restores gradient flow and enables stable volumetric reconstruction of...