AIMC Topic: Humans

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Automated prognosis of renal function decline in ADPKD patients using deep learning.

Zeitschrift fur medizinische Physik
An accurate prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) is crucial for early intervention. Current biomarkers used are height-adjusted total kidney volume (HtTKV), estimated glomerular filtration rate (...

Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.

Medical physics
BACKGROUND: Artificial intelligence/computer-aided diagnosis (AI/CADx) and its use of radiomics have shown potential in diagnosis and prognosis of breast cancer. Performance metrics such as the area under the receiver operating characteristic (ROC) c...

Reference standard for the evaluation of automatic segmentation algorithms: Quantification of inter observer variability of manual delineation of prostate contour on MRI.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to investigate the relationship between inter-reader variability in manual prostate contour segmentation on magnetic resonance imaging (MRI) examinations and determine the optimal number of readers required to e...

OCIF: automatically learning the optimized clinical information fusion method for computer-aided diagnosis tasks.

International journal of computer assisted radiology and surgery
PURPOSE: In computer-aided diagnosis, the fusion of image features extracted from neural networks and clinical information is crucial to improve diagnostic accuracy. How to integrate low-dimensional clinical information (LDCF) with high-dimensional n...

Robotic inguinal hernia repair with the new Hugo RAS system: first worldwide case series report.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
INTRODUCTION: Robotic-assisted surgery has been a part of surgical procedures for more than two decades. Recently new robotic platforms with a different design entered the market. The modular design with independent arms enables increased flexibility...

Machine Learning Predicting Atrial Fibrillation as an Adverse Event in the Warfarin and Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial.

The American journal of medicine
BACKGROUND: Atrial fibrillation and heart failure commonly coexist due to shared pathophysiological mechanisms. Prompt identification of patients with heart failure at risk of developing atrial fibrillation would allow clinicians the opportunity to i...

The impact of a dedicated operating room team on robotic transplant program growth and fellowship training.

Clinical transplantation
INTRODUCTION: Despite considerable interest in robotic surgery, successful incorporation of robotics into transplant programs has been challenging. Lack of a dedicated OR team with expertise in both robotics and transplant is felt to be a major barri...

Non-destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review.

Comprehensive reviews in food science and food safety
The egg is considered one of the best sources of dietary protein, and has an important role in human growth and development. With the increase in the world's population, per capita egg consumption is also increasing. Ground-breaking technological dev...

First human surgery using a surgical assistance robotics device for laparoscopic cholecystectomies.

Surgical endoscopy
BACKGROUND: Over the past 20 years, surgeons involved in soft tissue minimally invasive surgery have experienced the pros and cons of both conventional and tele-robotic laparoscopic approaches. The Maestro System, developed by Moon Surgical (Paris, F...