AIMC Topic: Radiography

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An artificial intelligence model for the radiographic diagnosis of osteoarthritis of the temporomandibular joint.

Scientific reports Sep 25, 2023
The interpretation of the signs of Temporomandibular joint (TMJ) osteoarthritis on cone-beam computed tomography (CBCT) is highly subjective that hinders the diagnostic process. The objectives of this study were to develop and test the performance of...
Osteoarthritis Cone-Beam Computed Tomography Radiography Humans Temporomandibular Joint Artificial Intelligence
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Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs.

Pediatric radiology Sep 23, 2023
BACKGROUND: Pediatric fractures are challenging to identify given the different response of the pediatric skeleton to injury compared to adults, and most artificial intelligence (AI) fracture detection work has focused on adults.
Young Adult Humans Elbow Fractures, Bone Artificial Intelligence Child Neural Networks, Computer Retrospective Studies Radiography
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Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy.

La Radiologia medica Sep 20, 2023
PURPOSE: Not diagnosed or mistreated scapholunate ligament (SL) tears represent a frequent cause of degenerative wrist arthritis. A newly developed deep learning (DL)-based automated assessment of the SL distance on radiographs may support clinicians...
Scaphoid Bone Wrist Injuries Lunate Bone Ligaments, Articular Arthroscopy Rupture Radiography Wrist Humans Deep Learning
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Aortic Annulus Detection Based on Deep Learning for Transcatheter Aortic Valve Replacement Using Cardiac Computed Tomography.

Journal of Korean medical science Sep 18, 2023
BACKGROUND: To propose a deep learning architecture for automatically detecting the complex structure of the aortic annulus plane using cardiac computed tomography (CT) for transcatheter aortic valve replacement (TAVR).
Humans Tomography Radiography Transcatheter Aortic Valve Replacement Retrospective Studies Deep Learning
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Assessing AI-Powered Patient Education: A Case Study in Radiology.

Academic radiology Sep 14, 2023
RATIONALE AND OBJECTIVES: With recent advancements in the power and accessibility of artificial intelligence (AI) Large Language Models (LLMs) patients might increasingly turn to these platforms to answer questions regarding radiologic examinations a...
Patient Education as Topic Artificial Intelligence Reproducibility of Results Radiography Radiology Humans
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Artificial Intelligence for Assessment of Endotracheal Tube Position on Chest Radiographs: Validation in Patients From Two Institutions.

AJR. American journal of roentgenology Sep 13, 2023
Timely and accurate interpretation of chest radiographs obtained to evaluate endotracheal tube (ETT) position is important for facilitating prompt adjustment if needed. The purpose of our study was to evaluate the performance of a deep learning (DL...
Artificial Intelligence Retrospective Studies Humans Male Middle Aged Radiography Female Aged Trachea Intubation, Intratracheal
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AI in medical imaging grand challenges: translation from competition to research benefit and patient care.

The British journal of radiology Sep 12, 2023
Artificial intelligence (AI), in one form or another, has been a part of medical imaging for decades. The recent evolution of AI into approaches such as deep learning has dramatically accelerated the application of AI across a wide range of radiologi...
Radiography Humans Diagnostic Imaging Artificial Intelligence Patient Care Radiology
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Generation of fluoroscopy-alike radiographs as alternative datasets for deep learning in interventional radiology.

Physical and engineering sciences in medicine Sep 11, 2023
In fluoroscopy-guided interventions (FGIs), obtaining large quantities of labelled data for deep learning (DL) can be difficult. Synthetic labelled data can serve as an alternative, generated via pseudo 2D projections of CT volumetric data. However, ...
Algorithms Fluoroscopy Radiology, Interventional Deep Learning Radiography
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Deep learning for automated measurement of CSA related acromion morphological parameters on anteroposterior radiographs.

European journal of radiology Sep 9, 2023
BACKGROUND: The Critical Shoulder Angle Related Acromion Morphological Parameter (CSA- RAMP) is a valuable tool in the analyzing the etiology of the rotator cuff tears (RCTs). However, its clinical application has been limited by the time-consuming a...
Acromion Shoulder Shoulder Joint Humans Radiography Deep Learning Rotator Cuff Injuries
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Orthodontic craniofacial pattern diagnosis: cephalometric geometry and machine learning.

Medical & biological engineering & computing Sep 6, 2023
Efficient and reliable diagnosis of craniofacial patterns is critical to orthodontic treatment. Although machine learning (ML) is time-saving and high-precision, prior knowledge should validate its reliability. This study proposed a craniofacial ML d...
Reproducibility of Results Machine Learning Radiography Algorithms Cephalometry
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