AIMC Topic: Artificial Intelligence

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Multiple instance convolutional neural network for gallbladder assessment from laparoscopic images.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: We present an artificial intelligence framework for vascularity classification of the gallbladder (GB) wall from intraoperative images of laparoscopic cholecystectomy (LC).

Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.

Experimental biology and medicine (Maywood, N.J.)
Auscultation plays an important role in the clinic, and the research community has been exploring machine learning (ML) to enable remote and automatic auscultation for respiratory condition screening via sounds. To give the big picture of what is goi...

Robust automated prediction of the revised Vienna Classification in colonoscopy using deep learning: development and initial external validation.

Journal of gastroenterology
BACKGROUND: Improved optical diagnostic technology is needed that can be used by also outside expert centers. Hence, we developed an artificial intelligence (AI) system that automatically and robustly predicts the pathological diagnosis based on the ...

An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: The need for developing new biomarkers is increasing with the emergence of many targeted therapies. Artificial Intelligence (AI) algorithms have shown great promise in the medical imaging field to build predictive models. We developed a p...

Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos.

Physics in medicine and biology
To assess the performance and added value of processing complete digital endoscopic video sequences for the automatic recognition of stone morphological features during a standard-of-care intra-operative session.A computer-aided video classifier was ...

Using Artificial Intelligence to extract information on pathogen characteristics from scientific publications.

International journal of hygiene and environmental health
Health risk assessment of environmental exposure to pathogens requires complete and up to date knowledge. With the rapid growth of scientific publications and the protocolization of literature reviews, an automated approach based on Artificial Intell...

Modeling and Optimization for a New Compliant 2-dof Stage for Locating Biomaterial Samples by an Efficient Approach of a Kinetostatic Analysis-Based Method and Neural Network Algorithm.

Computational intelligence and neuroscience
The nanoindentation technique is employed to characterize the behaviors of biomaterials. Nevertheless, there is a lack of development of a miniaturized precise positioner for in situ nanoindentation. Besides, modeling behaviors of the positioner are ...

Artificial Intelligence Algorithm-Based MRI in the Diagnosis of Complications after Renal Transplantation.

Contrast media & molecular imaging
This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by residual segmentation attention dual channel network (DRSA-U-Net) in the diagnosis of complications after renal transplantation and to provide a more effe...

Human Resource Data Integration System Based on Artificial Intelligence Environment.

Journal of environmental and public health
In an AI environment, this article suggests an HR data integration system based on a hidden semantic model to address the low integration of HR raw data. It provides a decision-making framework for enterprise personnel recruitment and employee traini...

Artificial Intelligence in Allergy and Immunology: Comparing Risk Prediction Models to Help Screen Inborn Errors of Immunity.

International archives of allergy and immunology
BACKGROUND: Inborn errors of immunity (IEI) are underdiagnosed disorders, leading to increased morbimortality and expenses for healthcare system.