AIMC Topic: Diagnosis, Computer-Assisted

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Artificial intelligence in healthcare: Ethical considerations.

Healthcare management forum
The term Artificial Intelligence (AI) is systematically ambiguous between electronic expert systems that are used by healthcare professionals in carrying out their tasks and full AIs, which are stand-alone independent electronic entities that functio...

A new machine learning technique for an accurate diagnosis of coronary artery disease.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is one of the commonest diseases around the world. An early and accurate diagnosis of CAD allows a timely administration of appropriate treatment and helps to reduce the mortality. Herein, we de...

Is it possible to detect cerebral dominance via EEG signals by using deep learning?

Medical hypotheses
Each brain hemisphere is dominant for certain functions such as speech. The determination of speech laterality prior to surgery is of paramount importance for accurate risk prediction. In this study, we aimed to determine speech laterality via EEG si...

Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice.

The Journal of pathology
The use of artificial intelligence will transform clinical practice over the next decade and the early impact of this will likely be the integration of image analysis and machine learning into routine histopathology. In the UK and around the world, a...

Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports on 25-2...

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.

BMC medical informatics and decision making
BACKGROUND: With the advancement of powerful image processing and machine learning techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of medicine including ophthalmology. These methods continue to provide reliable and s...