AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Ribs

Showing 1 to 10 of 18 articles

Clear Filters

Traumatic rib fracture patterns associated with bone mineral density statuses derived from CT images.

Frontiers in endocrinology
BACKGROUND: The impact of decreased bone mineral density (BMD) on traumatic rib fractures remains unknown. We combined computed tomography (CT) and artificial intelligence (AI) to measure BMD and explore its impact on traumatic rib fractures and thei...

Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning.

Sensors (Basel, Switzerland)
Chest radiography is one of the most widely used diagnostic methods in hospitals, but it is difficult to read clearly because several human organ tissues and bones overlap. Therefore, various image processing and rib segmentation methods have been pr...

Computer vision system using deep learning to predict rib and loin yield in the fish Colossoma macropomum.

Animal genetics
Computer vision system (CVSs) are effective tools that enable large-scale phenotyping with a low-cost and non-invasive method, which avoids animal stress. Economically important traits, such as rib and loin yield, are difficult to measure; therefore,...

Robotic First Rib Resection and Robotic Chest Wall Resection.

Thoracic surgery clinics
Robot-assisted thoracoscopic surgery for the treatment of thoracic outlet syndrome and chest wall lesions are burgeoning topics on thoracic surgery. Following publication of the Society of Vascular Surgeons expert statement in 2016, the diagnosis and...

An automatic fresh rib fracture detection and positioning system using deep learning.

The British journal of radiology
OBJECTIVE: To evaluate the performance and robustness of a deep learning-based automatic fresh rib fracture detection and positioning system (FRF-DPS).

Technical Aspects of Robotic First Rib Resection.

Thoracic surgery clinics
Robot-assisted thoracoscopic surgery for the treatment of thoracic outlet syndrome is a novel approach that continues to increase in popularity due to advantages compared with traditional open first rib resection. Following publication of the Society...

Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography.

International journal of computer assisted radiology and surgery
PURPOSE: Scanning path planning is an essential technology for fully automated ultrasound (US) robotics. During biliary scanning, the subcostal boundary is critical body surface landmarks for scanning path planning but are often invisible, depending ...

A deep learning-based pipeline for developing multi-rib shape generative model with populational percentiles or anthropometrics as predictors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Rib cross-sectional shapes (characterized by the outer contour and cortical bone thickness) affect the rib mechanical response under impact loading, thereby influence the rib injury pattern and risk. A statistical description of the rib shapes or the...

A proposal for cut marks classification using machine learning: Serrated vs. non-serrated, single vs. double-beveled knives.

Journal of forensic sciences
In tool mark identification, there is still a lack of characteristics and methodologies standardization used to analyze and describe sharp force trauma marks on skeletal remains. This study presents a classification method for cut marks on human bone...