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Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study
arXiv:2606.03693v1 Announce Type: new Abstract: Medical Vision-Language Models (VLMs) are typically evaluated on English radiology visual question answering benchmarks, leaving their robustness under non-English clinical language largely unexplored. We introduce IndoRad-VQA, an Indonesian adaptation of VQA-RAD, to assess whether medical VLMs retain radiology reasoning ability when questions are asked in Bahasa Indonesia. Radiology question-answer pairs are translated into Indonesian with...
Florida man arrested after allegedly trying to sell stolen radiological device that could have made people ill on Facebook Marketplace
Florida man arrested after allegedly trying to sell stolen radiological device that could have made people ill on Facebook Marketplace Improper handling or damage to the device could have caused severe health complications due to radiation exposure - Bookmark A Florida man was arrested after investigators tracked a stolen radiological device to his home using a Facebook Marketplace listing, authorities said. The suspect, 24-year-old Marco Antonio Benitez Jr., was taken into custody following...
A Vision-language Framework for Comparative Reasoning in Radiology
Announce Type: replace Abstract: Medical imaging artificial intelligence has achieved strong performance in isolated image interpretation, but remains poorly aligned with radiological practice, where diagnosis and follow-up rely on comparison across prior studies and analogous reference cases. Here we formulate radiological comparison as an entity-aware cross-image reasoning problem and introduce a framework that supports both reference-case retrieval and temporal comparative interpretation....
A Vision-language Framework for Comparative Reasoning in Radiology
Announce Type: new Abstract: Medical imaging artificial intelligence has achieved strong performance in isolated image interpretation, but remains poorly aligned with radiological practice, where diagnosis and follow-up rely on comparison across prior studies and analogous reference cases. Here we formulate radiological comparison as an entity-aware cross-image reasoning problem and introduce a framework that supports both reference-case retrieval and temporal comparative interpretation. We...
RadOT-Eval: Auditable Structured-Evidence Transport for Radiology Report Evaluation
arXiv:2606.08769v1 Announce Type: new Abstract: Automatic evaluation is critical for high-stakes text generation, where errors often involve omitted findings, hallucinated content, polarity reversals, location changes, uncertainty mismatches, and temporal-comparison errors rather than low surface similarity alone. Radiology report generation provides a challenging test case because generated reports must preserve structured clinical evidence across sources. We present RadOT-Eval, an...
GLINT: Sparsely Gated Vision-Language Alignment for Fine-Grained Radiology Representations
arXiv:2606.03180v1 Announce Type: new Abstract: Vision-language models (VLMs) for radiology have emerged as a scalable paradigm by leveraging image-report pairs naturally produced in clinical workflows. However, this pairing reveals a mismatch in scale: each finding occupies only a small region of the image, yet supervision is provided only at the global image-report level. This poses a central challenge: prior approaches spread weight densely across all patches rather than concentrating on...
RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network
arXiv:2606.02035v1 Announce Type: new Abstract: Medical imaging interpretation is a foundational pillar of modern clinical diagnostics, yet the manual generation of radiology reports remains a time-consuming process prone to interpretation inconsistencies. Within the field of medical AI, automating these descriptions through deep learning promises to streamline clinical workflows and standardise diagnostic output.
Surrogate distributed radiological sources III: quantitative distributed source reconstructions
arXiv:2412.02926v3 Announce Type: replace Abstract: In this third part of a multi-paper series, we present quantitative image reconstruction results from aerial measurements of eight different surrogate distributed gamma-ray sources on flat terrain. We show that our quantitative imaging methods can accurately reconstruct the expected shapes, and, after appropriate calibration, the absolute activity of the distributed sources. We conduct several studies of imaging performance versus various...
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.
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...