AI Medical Compendium Topic:
Tomography, Optical Coherence

Clear Filters Showing 751 to 760 of 778 articles

Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology?

European journal of dermatology : EJD
Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and dermoscopic inspection of a lesion. Diagnostic tools such as the different types of dermoscopy, confocal microscopy and optical coherence tomography (OCT)...

[Application of Deep Learning in Early Diagnosis Assistant System of Keratoconus].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
In view of the problem that there is no standard diagnosis for early stage keratoconus disease,at the same time to assist the special examiner and ophthalmologist to make the early diagnosis effectively,the advantages and disadvantages of each testin...

Artificial intelligence in glaucoma.

Current opinion in ophthalmology
PURPOSE OF REVIEW: The use of computers has become increasingly relevant to medical decision-making, and artificial intelligence methods have recently demonstrated significant advances in medicine. We therefore provide an overview of current artifici...

Volumetric analysis of breast cancer tissues using machine learning and swept-source optical coherence tomography.

Applied optics
In breast cancer, 20%-30% of cases require a second surgery because of incomplete excision of malignant tissues. Therefore, to avoid the risk of recurrence, accurate detection of the cancer margin by the clinician or surgeons needs some assistance. I...

Deep Learning for Prediction of AMD Progression: A Pilot Study.

Investigative ophthalmology & visual science
PURPOSE: To develop and assess a method for predicting the likelihood of converting from early/intermediate to advanced wet age-related macular degeneration (AMD) using optical coherence tomography (OCT) imaging and methods of deep learning.

Macular Vessel Density and Ganglion Cell/Inner Plexiform Layer Thickness and Their Combinational Index Using Artificial Intelligence.

Journal of glaucoma
PURPOSE: To evaluate the relationship between macular vessel density and ganglion cell to inner plexiform layer thickness (GCIPLT) and to compare their diagnostic performance. We attempted to develop a new combined parameter using an artificial neura...

[Deep learning to support therapy decisions for intravitreal injections].

Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft
Significant progress has been made in artificial intelligence and computer vision research in recent years. Machine learning methods excel in a wide variety of tasks where sufficient data are available. We describe the application of a deep convoluti...