AIMC Topic: Humans

Clear Filters Showing 43921 to 43930 of 95995 articles

AI-based optimization for US-guided radiation therapy of the prostate.

International journal of computer assisted radiology and surgery
OBJECTIVES: Fast volumetric ultrasound presents an interesting modality for continuous and real-time intra-fractional target tracking in radiation therapy of lesions in the abdomen. However, the placement of the ultrasound probe close to the target s...

Deep Learning and Imaging for the Orthopaedic Surgeon: How Machines "Read" Radiographs.

The Journal of bone and joint surgery. American volume
➤: In the not-so-distant future, orthopaedic surgeons will be exposed to machines that begin to automatically "read" medical imaging studies using a technology called deep learning.

Deep learning-based multimodal image analysis for cervical cancer detection.

Methods (San Diego, Calif.)
Cervical cancer is the fourth most common cancer in women, and its precise detection plays a critical role in disease treatment and prognosis prediction. Fluorodeoxyglucose positron emission tomography and computed tomography, i.e., FDG-PET/CT and PE...

Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text.

European journal of radiology
INTRODUCTION: Proximal humeral fractures account for a significant proportion of all fractures. Detailed accurate classification of the type and severity of the fracture is a key component of clinical decision making, treatment and plays an important...

Machine Learning-Based Ultrasound Radiomics for Evaluating the Function of Transplanted Kidneys.

Ultrasound in medicine & biology
The aim of the study described here was to investigate the value of different machine learning models based on the clinical and radiomic features of 2-D ultrasound images to evaluate post-transplant renal function (pTRF). We included 233 patients who...

Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer.

Journal of biomedical informatics
The multi-modal and unstructured nature of observational data in Electronic Health Records (EHR) is currently a significant obstacle for the application of machine learning towards risk stratification. In this study, we develop a deep learning framew...

Quality of life and secondary outcomes for open versus robot-assisted radical cystectomy: a double-blinded, randomised feasibility trial.

World journal of urology
PURPOSE: This study aims to examine quality of life (QoL) before and after radical cystectomy (RC) and compare robot-assisted laparoscopy with intracorporeal urinary diversion (iRARC) to open radical cystectomy (ORC).

Deep learning-based 3D MRI contrast-enhanced synthesis from a 2D noncontrast T2Flair sequence.

Medical physics
PURPOSE: Gadolinium-based contrast agents (GBCAs) have been successfully applied in magnetic resonance (MR) imaging to facilitate better lesion visualization. However, gadolinium deposition in the human brain raised widespread concerns recently. On t...

ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.

Journal of cellular and molecular medicine
Increasing the information depth of single kidney biopsies can improve diagnostic precision, personalized medicine and accelerate basic kidney research. Until now, information on mRNA abundance and morphologic analysis has been obtained from differen...