medical imaging
Also known as: medical imaging, imaging
Facts (11)
Sources
On Hallucinations in Artificial Intelligence–Generated Content ... jnm.snmjournals.org 3 facts
claimIn medical imaging, some studies define hallucinations narrowly as the addition of nonexistent tissue components, while others define them more broadly to include the addition or removal of image structures, such as the omission of lesions.
claimArtificial Intelligence-Generated Content (AIGC) in medical imaging can appear visually accurate but may contain hallucinations when compared against reference CT attenuation correction (AC) images.
claimSome researchers in medical imaging define hallucinations based on the deceptive and realistic-looking appearance of the generated content, while others include implausible or dreamlike content in the definition.
Medical Hallucination in Foundation Models and Their ... medrxiv.org Mar 3, 2025 2 facts
claimWang et al. (2022) demonstrate that knowledge graphs can be applied to medical imaging to enable the integration of multimodal data, which reduces diagnostic errors in imaging analysis workflows.
claimLarge Language Models (LLMs) used in Medical Question Answering and Clinical Documentation Automation require accurate descriptions of medical imaging or laboratory results.
Neuroimaging in psychedelic drug development: past, present, and ... nature.com Sep 27, 2023 2 facts
Pharmacological Uses of New Bioactive Compounds from Medicinal ... academia.edu 1 fact
claimNanoformulation strategies are being developed for phytocompounds to enable applications in drug delivery, phototherapy, and imaging, as reported by Han et al. (2021).
Tracking Inflammation Through Biomarkers rupahealth.com Jul 24, 2024 1 fact
claimIntegrating biomarker testing with imaging and clinical assessments enables a more comprehensive evaluation of inflammation and its underlying causes.
Middle East conflict economic impacts chips | Sourceability sourceability.com 7 days ago 1 fact
claimHelium is an essential resource for semiconductor manufacturing, medical imaging, and other technology industry applications.
A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Dec 9, 2025 1 fact
referenceRasheed et al. (2024) published a study in Bioengineering titled 'Integrating convolutional neural networks with attention mechanisms for magnetic resonance imaging-based classification of brain tumors,' which explores the application of neural networks in medical imaging.