Results 201 to 210 of about 256,807 (298)
ABSTRACT Background Natural language processing (NLP) was used to extract structured information from large numbers of radiology reports with the aim of showing the feasibility of this approach for system monitoring, conducting clinical research and improving practice.
Michael Birry +3 more
wiley +1 more source
Chest X-Ray evaluation using GPT for tube thoracostomy or conservative care in non-tension spontaneous pneumothorax. [PDF]
Günsoy E +4 more
europepmc +1 more source
ABSTRACT Introduction Accurate preoperative physiological assessment is critical for high‐risk patients undergoing lung resection to predict postoperative lung function. This study compared quantitative dual‐energy CT (DECT) perfusion with SPECT/CT for lobar perfusion mapping in an at‐risk oncological cohort.
Jack Edward Liu +6 more
wiley +1 more source
Self-request chest x-ray services-reducing barriers to diagnosis of lung cancer. [PDF]
Start JL +10 more
europepmc +1 more source
ABSTRACT Background Photon‐counting detector CT (PCD‐CT) is a technology that directly counts individual photons and their energy, compared to conventional energy‐integrating detector CT (EID‐CT) which measures the total deposited X‐ray energy without distinguishing photon energies.
Ben Milne +4 more
wiley +1 more source
Data Augmentation Strength, Training Stability, and Clinical Trade-Offs in Transfer Learning for Chest X-ray Pneumonia Classification. [PDF]
Dias Will A.
europepmc +1 more source
A Review of the Australian MRI Linac Program: From Pie in the Sky to Research Milestone
ABSTRACT The Australian Magnetic Resonance Imaging (MRI) Linear Accelerator program (MRI linac) was a major research project that aimed to build and test a unique MRI linac prototype for cancer treatment. It aimed to improve radiotherapy anatomical targeting and explore physiological targeting. The purpose of this report is to summarise the development
Michael Bernard Barton +10 more
wiley +1 more source
Adaptive Normalization Enhances the Generalization of Deep Learning Model in Chest X-Ray Classification. [PDF]
Singthongchai J, Wangkhamhan T.
europepmc +1 more source
Abstract Purpose To evaluate the evidence of internal structure validity of the nursing outcome (NO) “Mechanical Ventilation Weaning Response: Adult (0412)” of the NOs classification for critically ill COVID‐19 patients. Methods A methodological study focused on internal structural validation, part of a multicenter study, was carried out in the ...
Aline Batista Maurício +8 more
wiley +1 more source

