AIMC Topic: Image Interpretation, Computer-Assisted
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Clinical Artificial Intelligence Applications: Musculoskeletal.
Radiologic clinics of North America
Nov 1, 2021
We present an overview of current clinical musculoskeletal imaging applications for artificial intelligence, as well as potential future applications and techniques.
Clinical Artificial Intelligence Applications in Radiology: Neuro.
Radiologic clinics of North America
Nov 1, 2021
Radiologists have been at the forefront of the digitization process in medicine. Artificial intelligence (AI) is a promising area of innovation, particularly in medical imaging. The number of applications of AI in neuroradiology has also grown. This ...
Deep Learning for Clinical Image Analyses in Oral Squamous Cell Carcinoma: A Review.
JAMA otolaryngology-- head & neck surgery
Oct 1, 2021
IMPORTANCE: Oral squamous cell carcinoma (SCC) is a lethal malignant neoplasm with a high rate of tumor metastasis and recurrence. Accurate diagnosis, prognosis prediction, and metastasis detection can improve patient outcomes. Deep learning for clin...
A Bayesian optimization approach for rapidly mapping residual network function in stroke.
Brain : a journal of neurology
Aug 17, 2021
Post-stroke cognitive and linguistic impairments are debilitating conditions, with limited therapeutic options. Domain-general brain networks play an important role in stroke recovery and characterizing their residual function with functional MRI has...
Added value of deep learning-based computer-aided diagnosis and shear wave elastography to b-mode ultrasound for evaluation of breast masses detected by screening ultrasound.
Medicine
Aug 6, 2021
Low specificity and operator dependency are the main problems of breast ultrasound (US) screening. We investigated the added value of deep learning-based computer-aided diagnosis (S-Detect) and shear wave elastography (SWE) to B-mode US for evaluatio...
Republic of Korea
Female
Elasticity Imaging Techniques
Humans
Sensitivity and Specificity
Breast Neoplasms
Ultrasonography, Mammary
Deep Learning
Prospective Studies
Middle Aged
Breast
Early Detection of Cancer
Diagnosis, Computer-Assisted
Image Interpretation, Computer-Assisted
Diagnosis, Differential
Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion.
Proceedings of the National Academy of Sciences of the United States of America
Aug 3, 2021
Single-particle tracking (SPT) is a key tool for quantitative analysis of dynamic biological processes and has provided unprecedented insights into a wide range of systems such as receptor localization, enzyme propulsion, bacteria motility, and drug ...
A Deep Learning-Based Approach for Glomeruli Instance Segmentation from Multistained Renal Biopsy Pathologic Images.
The American journal of pathology
Aug 1, 2021
Glomeruli instance segmentation from pathologic images is a fundamental step in the automatic analysis of renal biopsies. Glomerular histologic manifestations vary widely among diseases and cases, and several special staining methods are necessary fo...
CORR Synthesis: When Should the Orthopaedic Surgeon Use Artificial Intelligence, Machine Learning, and Deep Learning?
Clinical orthopaedics and related research
Jul 1, 2021
Artificial Intelligence-Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples.
American journal of clinical pathology
Jun 17, 2021
OBJECTIVES: This study aimed to develop and validate a deep learning algorithm to screen digitized acid fast-stained (AFS) slides for mycobacteria within tissue sections.
Rapid classification of glaucomatous fundus images.
Journal of the Optical Society of America. A, Optics, image science, and vision
Jun 1, 2021
We propose a new method for training convolutional neural networks (CNNs) and use it to classify glaucoma from fundus images. This method integrates reinforcement learning along with supervised learning and uses it for transfer learning. The training...
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