The American college of radiology diagnostic fluoroscopy dose index registry pilot: Dosimetric performance and benchmarking challenges. [PDF]
Mann SD +11 more
europepmc +1 more source
Future prospects for the radiology information system
Dr. Ruchi Baraya +1 more
openaire +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Intelligent Soft Opto‐Magnetic Robot for Minimally Invasive Interventional Therapy
An intelligent soft opto‐magnetic (iSOM) robot is developed that integrates remote magnetic actuation, skin‐mimic tactile perception, and photothermal ablation in a near‐millimeter‐scale design. It enables precise intraluminal navigation and localized ablation while providing real‐time optical feedback to support safe and accurate minimally invasive ...
Jingjing Guo +13 more
wiley +1 more source
Agentic AI and Large Language Models in Radiology: Opportunities and Hallucination Challenges. [PDF]
Salehi S +4 more
europepmc +1 more source
Paraventricular CRF neurons in the hypothalamus project to glutamatergic neurons of the spinal trigeminal caudal nucleus, enhancing neuronal activation and CRFR2 signaling. This pathway increases CRF release and excitatory drive, promoting central sensitization and migraine‐related behaviors. Targeting the PVN–SP5C circuit provides a potential strategy
Jiang Bian +13 more
wiley +1 more source
From "Black Box" to Learning System: Formative Viewpoint on Digital Health Governance for Childhood Cancer Information in Japan. [PDF]
Kubota K, Urakawa R.
europepmc +1 more source
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng +8 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Will AI Replace Physicians in the Near Future? AI Adoption Barriers in Medicine. [PDF]
Obuchowicz R +5 more
europepmc +1 more source

