AIMC Topic: Artificial Intelligence

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Computer-assisted technology for enhanced abdominal surgery.

The British journal of surgery
The application of computer-based technology to surgery has the potential to enhance the accuracy and outcomes of surgical procedures and perioperative care. Such innovative technologies include the integration of artificial intelligence into surgica...

Automated Creation of Expert Systems with the InteKRator Toolbox.

Studies in health technology and informatics
Expert systems have a long tradition in both medical informatics and artificial intelligence research. Traditionally, such systems are created by implementing knowledge provided by experts in a system that can be queried for answers. To automatically...

Robotics, imaging, and artificial intelligence in the catheterisation laboratory.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
The catheterisation laboratory today combines diagnosis and therapeutics, through various imaging modalities and a prolific list of interventional tools, led by balloons and stents. In this review, we focus primarily on advances in image-based corona...

Trading off accuracy and explainability in AI decision-making: findings from 2 citizens' juries.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To investigate how the general public trades off explainability versus accuracy of artificial intelligence (AI) systems and whether this differs between healthcare and non-healthcare scenarios.

Automatic contour segmentation of cervical cancer using artificial intelligence.

Journal of radiation research
In cervical cancer treatment, radiation therapy is selected based on the degree of tumor progression, and radiation oncologists are required to delineate tumor contours. To reduce the burden on radiation oncologists, an automatic segmentation of the ...

[Machine learning and its epidemiological applications].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
As an important branch of artificial intelligence, machine learning is widely used in various fields. Machine learning has similarity to classical statistical methods, but can solve many problems which are difficult for traditional statistics, so it ...

The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare.

British medical bulletin
INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields in various sectors, including healthcare. This article reviews AI's present applications in healthcare, including its benefits, limitations and future sc...

Machine learning and applications in microbiology.

FEMS microbiology reviews
To understand the intricacies of microorganisms at the molecular level requires making sense of copious volumes of data such that it may now be humanly impossible to detect insightful data patterns without an artificial intelligence application calle...

A reinforcement learning model to inform optimal decision paths for HIV elimination.

Mathematical biosciences and engineering : MBE
The 'Ending the HIV Epidemic (EHE)' national plan aims to reduce annual HIV incidence in the United States from 38,000 in 2015 to 9300 by 2025 and 3300 by 2030. Diagnosis and treatment are two most effective interventions, and thus, identifying corre...

Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.

Briefings in bioinformatics
Accurate predictions of druggability and bioactivities of compounds are desirable to reduce the high cost and time of drug discovery. After more than five decades of continuing developments, quantitative structure-activity relationship (QSAR) methods...