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Role of
artificial
intelligence
in diagnostic oral pathology-A
modern
approach
Krishna, Ayinampudi ; Tanveer, Azra ; Bhagirath, Pancha ; Gannepalli, Ashalata
Journal of oral and maxillofacial pathology : JOMFP, 2020-01, Vol.24 (1), p.152-156
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題名:
Role of
artificial
intelligence
in diagnostic oral pathology-A
modern
approach
著者:
Krishna, Ayinampudi
;
Tanveer, Azra
;
Bhagirath, Pancha
;
Gannepalli, Ashalata
主題:
Accuracy
;
Artificial
intelligence
;
Automation
;
Brain
;
Cancer therapies
;
CAT scans
;
Classification
;
Computed tomography
;
Data mining
;
Decision making
;
Diagnostic imaging
;
Diseases
;
Health
;
Keratin
;
Machine learning
;
Magnetic resonance imaging
;
Mammography
;
Medical diagnosis
;
Medical imaging equipment
;
Neural networks
;
Neuroimaging
;
Optimization techniques
;
Oral cancer
;
Pathology
;
Patients
;
Pearls
;
Researchers
;
Short Communication
;
Tomography
;
Ultrasound
所屬期刊:
Journal of oral and maxillofacial pathology : JOMFP, 2020-01, Vol.24 (1), p.152-156
描述:
Over the decades, new equipment was emerged in medical field, and we have witnessed the importance of medical imaging such as computed tomography, magnetic resonance imaging, ultrasound, mammography and X-ray and their contribution in successful diagnosis and treatment of various diseases. Now, we are in era of
artificial
intelligence
(AI), where machines were modeled after human brain's ability to take inputs and produce outputs from given data. AI has a wide range of uses and applications in health services industry. Factors such as increase in workload, complexity of work and potential fatigue of doctors may compromise diagnostic ability and outcome. AI components in imaging machines would reduce this workload and drive greater efficiency. They also have access to a greater wealth of data than human counterparts and can detect cancer with more accuracy than humans. This study presented an overview of AI, its recent advances in pathology and future prospects.
出版者:
Chennai: Wolters Kluwer India Pvt. Ltd
語言:
英文
識別號:
ISSN: 0973-029X
EISSN: 1998-393X
DOI: 10.4103/jomfp.JOMFP_215_19
PMID: 32508465
資源來源:
Publicly Available Content Database
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