AIMC Topic: Artificial Intelligence

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Whole-slide imaging, tissue image analysis, and artificial intelligence in veterinary pathology: An updated introduction and review.

Veterinary pathology
Since whole-slide imaging has been commercially available for over 2 decades, digital pathology has become a constantly expanding aspect of the pathology profession that will continue to significantly impact how pathologists conduct their craft. Whil...

The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain.

Neural networks : the official journal of the International Neural Network Society
The vastness of the design space that is created by the combination of numerous computational mechanisms, including machine learning, is an obstacle to creating artificial general intelligence (AGI). Brain-inspired AGI development; that is, the reduc...

Complexity and data mining in dental research: A network medicine perspective on interceptive orthodontics.

Orthodontics & craniofacial research
Procedures and models of computerized data analysis are becoming researchers' and practitioners' thinking partners by transforming the reasoning underlying biomedicine. Complexity theory, Network analysis and Artificial Intelligence are already appro...

Artificial intelligence for quality control of oscillometry measures.

Computers in biology and medicine
BACKGROUND: The forced oscillation technique (FOT) allows non-invasive lung function testing during quiet breathing even without expert guidance. However, it still relies on an operator for excluding breaths with artefacts such as swallowing, glottis...

Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression.

Computers in biology and medicine
BACKGROUND AND OBJECTIVES: Although ML has been studied for different epidemiological and clinical issues as well as for survival prediction of COVID-19, there is a noticeable shortage of literature dealing with ML usage in prediction of disease seve...

Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments.

Dento maxillo facial radiology
The digital workflow process follows different steps for all dental specialties. However, the main ingredient for the diagnosis, treatment planning and follow-up workflow recipes is the imaging chain. The steps in the imaging chain usually include al...

Inevitable Influences: AI-Based Medical Devices at the Intersection of Medical Devices Regulation and the Proposal for AI Regulation.

European journal of health law
In recent years, the use of Artificial Intelligence (AI) in the medical field has attracted increased attention. Due to their impressive advantages, AI systems offer excellent prospects for medical device manufacturers using these systems to upgrade ...

SIRVD-DL: A COVID-19 deep learning prediction model based on time-dependent SIRVD.

Computers in biology and medicine
COVID-19 is one of the biggest challenges that human beings have faced recently. Many researchers have proposed different prediction methods for establishing a virus transmission model and predicting the trend of COVID-19. Among them, the methods bas...

[Digitalized psychiatry : Critical considerations on a new paradigm].

Der Nervenarzt
Digitalization and artificial intelligence hold the prospect of new procedures for psychiatry. Machine learning techniques combined with big data should enable algorithmized diagnostics, prediction and therapy that are superior to clinical observatio...