AIMC Topic:
Image Interpretation, Computer-Assisted

Clear Filters Showing 1351 to 1360 of 2720 articles

Artificial Intelligence in plastic surgery: What is it? Where are we now? What is on the horizon?

Annals of the Royal College of Surgeons of England Aug 11, 2020
INTRODUCTION: An increasing quantity of data is required to guide precision medicine and advance future healthcare practices, but current analytical methods often become overwhelmed. Artificial intelligence (AI) provides a promising solution. Plastic...
Plastic Surgery Procedures Breast Image Interpretation, Computer-Assisted Humans Artificial Intelligence Female Breast Neoplasms Big Data Mammography
View on PubMed DOI

Personal identification with orthopantomography using simple convolutional neural networks: a preliminary study.

Scientific reports Aug 11, 2020
Forensic dental examination has played an important role in personal identification (PI). However, PI has essentially been based on traditional visual comparisons of ante- and postmortem dental records and radiographs, and there is no globally accept...
Image Interpretation, Computer-Assisted Tooth Deep Learning Adolescent Radiography, Panoramic Forensic Dentistry Adult Male Middle Aged Diagnosis, Computer-Assisted Humans Female Neural Networks, Computer Aged Aged, 80 and over Young Adult
View on PubMed DOI

Optic Disc Classification by Deep Learning versus Expert Neuro-Ophthalmologists.

Annals of neurology Aug 7, 2020
OBJECTIVE: To compare the diagnostic performance of an artificial intelligence deep learning system with that of expert neuro-ophthalmologists in classifying optic disc appearance.
Humans Female Aged Deep Learning Image Interpretation, Computer-Assisted Adult Optic Disk Sensitivity and Specificity Diagnostic Techniques, Ophthalmological Male Ophthalmologists Middle Aged
View on PubMed DOI

TISNet-Enhanced Fully Convolutional Network with Encoder-Decoder Structure for Tongue Image Segmentation in Traditional Chinese Medicine.

Computational and mathematical methods in medicine Aug 7, 2020
Extracting the tongue body accurately from a digital tongue image is a challenge for automated tongue diagnoses, as the blurred edge of the tongue body, interference of pathological details, and the huge difference in the size and shape of the tongue...
Mathematical Concepts Computational Biology Tongue Diseases Humans Medicine, Chinese Traditional Neural Networks, Computer Tongue Databases, Factual Image Interpretation, Computer-Assisted Deep Learning
View on PubMed DOI

Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Aug 5, 2020
The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve pathologist-level performance at Gle...
Reproducibility of Results Male Diagnosis, Computer-Assisted Deep Learning Humans Pathologists Microscopy Image Interpretation, Computer-Assisted Observer Variation Predictive Value of Tests Prostatic Neoplasms Neoplasm Grading Biopsy
View on PubMed DOI

Rapid whole-heart CMR with single volume super-resolution.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 3, 2020
BACKGROUND: Three-dimensional, whole heart, balanced steady state free precession (WH-bSSFP) sequences provide delineation of intra-cardiac and vascular anatomy. However, they have long acquisition times. Here, we propose significant speed-ups using ...
Heart Defects, Congenital Predictive Value of Tests Heart Workflow Image Interpretation, Computer-Assisted Male Humans Aged Middle Aged Prospective Studies Time Factors Aged, 80 and over Female Deep Learning Child, Preschool Young Adult Reproducibility of Results Adolescent Child Adult Magnetic Resonance Imaging
View on PubMed DOI

Artificial Intelligence in Lung Cancer: Bridging the Gap Between Computational Power and Clinical Decision-Making.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jul 31, 2020
Lung cancer remains the most common cause of cancer death worldwide. Recent advances in lung cancer screening, radiotherapy, surgical techniques, and systemic therapy have led to increasing complexity in diagnosis, treatment decision-making, and asse...
Lung Lung Neoplasms Diagnostic Imaging Image Interpretation, Computer-Assisted Humans Artificial Intelligence Clinical Decision-Making
View on PubMed DOI

Utilizing Artificial Intelligence for Head and Neck Cancer Outcomes Prediction From Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jul 31, 2020
Artificial intelligence (AI)-based models have become a growing area of interest in predictive medicine and have the potential to aid physician decision-making to improve patient outcomes. Imaging and radiomics play an increasingly important role in ...
Diagnostic Imaging Image Interpretation, Computer-Assisted Humans Artificial Intelligence Prognosis Head and Neck Neoplasms
View on PubMed DOI

Probing the neural dynamics of mnemonic representations after the initial consolidation.

NeuroImage Jul 31, 2020
Memories are not stored as static engrams, but as dynamic representations affected by processes occurring after initial encoding. Previous studies revealed changes in activity and mnemonic representations in visual processing areas, parietal lobe, an...
Image Interpretation, Computer-Assisted Hippocampus Cerebral Cortex Humans Memory, Episodic Support Vector Machine Mental Recall Memory Consolidation Young Adult Female Pattern Recognition, Visual Magnetic Resonance Imaging Spatial Memory Brain Mapping Adult Association Learning Cues Male Adolescent
View on PubMed DOI

Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI.

Neuroradiology Jul 23, 2020
PURPOSE: Pituitary macroadenoma consistency can influence the ease of lesion removal during surgery, especially when using a transsphenoidal approach. Unfortunately, it is not assessable on standard qualitative MRI. Radiomic texture analysis could he...
Data Mining Humans Image Interpretation, Computer-Assisted Machine Learning Magnetic Resonance Imaging Retrospective Studies Endoscopy Pituitary Neoplasms Female Male Adenoma Aged Middle Aged Predictive Value of Tests Adult Adolescent
View on PubMed DOI
Popular Topics
Recent Journals