CT AI
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Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework
Announce Type: replace Abstract: Renal mass segmentation has important potential to enhance the clinical workflow, especially in settings requiring quantitative assessments. Kidney volume could serve as an important biomarker for renal diseases, with changes in volume correlating directly with kidney function. Currently, clinical practice often relies on subjective visual assessment for evaluating kidney size and kidney lesions, including tumors and cysts, which are typically staged based on...
RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography
Announce Type: replace Abstract: Vision-language models (VLM) have markedly advanced AI-driven interpretation and reporting of complex medical imaging, such as computed tomography (CT). Yet, existing methods largely relegate clinicians to passive observers of final outputs, offering no interpretable reasoning trace for them to inspect, validate, or refine. To address this, we introduce RadAgent, a tool-using AI agent that generates CT reports through a stepwise and interpretable process.
The forgotten organ that could predict how long you live
The forgotten organ that could predict how long you live A forgotten immune organ may be one of the strongest hidden predictors of longevity, disease risk, and cancer treatment success. - Date: - June 1, 2026 - Source: - Mass General Brigham - Summary: - A long-overlooked organ may hold surprising clues to healthy aging and cancer survival.
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...
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...
Senate Judiciary Committee unanimously approves AI chatbot age verification
Senate Judiciary Committee unanimously approves AI chatbot age verification The Senate Judiciary Committee has unanimously approved a bipartisan bill aimed at requiring AI companies to limit chatbot use among minors. The proposed legislation would mandate age verification systems for chatbots as well as prohibiting AI companions for minors and blocking the services from showing younger users sexually explicit content or encouraging self-harm. The bill was co-sponsored by Senators Josh Hawley...
Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel
arXiv:2606.02156v1 Announce Type: cross Abstract: Anastomotic leak remains one of the most serious complications following colorectal cancer surgery, substantially affecting patient outcomes, recovery trajectories, and healthcare costs. Despite advances in imaging technology, current preoperative assessment relies only on clinical assessment, a process that is subjective, error-prone, and highly dependent on individual expertise.
Doctors say Trump’s medical report ‘lacks crucial information about his cardiac health’
Doctors say Trump’s medical report ‘lacks crucial information about his cardiac health’ Doctors said the medical record lacked details regarding the health of his heart, including how much blood it’s pumping, according to a report - Bookmark - CommentsGo to comments A White House report describing Donald Trump’s recent medical examination lacks crucial information around the results of his cardiovascular testing, physicians who read the memorandum have told the Wall Street Journal. Trump...
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...