AIMC Topic: Artificial Intelligence

Clear Filters Showing 24651 to 24660 of 26332 articles

Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review.

World journal of gastroenterology
Upper gastrointestinal (GI) cancers are the leading cause of cancer-related deaths worldwide. Early identification of precancerous lesions has been shown to minimize the incidence of GI cancers and substantiate the vital role of screening endoscopy. ...

The breakthrough in protein structure prediction.

The Biochemical journal
Proteins are the essential agents of all living systems. Even though they are synthesized as linear chains of amino acids, they must assume specific three-dimensional structures in order to manifest their biological activity. These structures are ful...

The Potential of an Artificial Intelligence for Disability Advocacy: The WikiDisability Project.

Studies in health technology and informatics
Human rights monitoring for people with disabilities is in urgent need for disability data that is shared and available for local and international disability stakeholders (e.g., advocacy groups). Our aim is to use a Wikibase for editing, integrating...

How Artificial Intelligence for Healthcare Look Like in the Future?

Studies in health technology and informatics
Research on artificial intelligence (AI) for healthcare gained interest in recent years. However, the use of AI in daily clinical practice is still rare. We created and distributed an online survey among professionals working within the health inform...

Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches.

Studies in health technology and informatics
Unstructured medical text labeling technologies are expected to be highly demanded since the interest in artificial intelligence and natural language processing arises in the medical domain. Our study aimed to assess the agreement between experts who...

Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review.

Studies in health technology and informatics
The ongoing COVID-19 pandemic has become the most impactful pandemic of the past century. The SARS-CoV-2 virus has spread rapidly across the globe affecting and straining global health systems. More than 2 million people have died from COVID-19 (as o...

Performance of SURF and SIFT Keypoints for the Automated Differentiation of Abnormality in Chest Radiographs.

Studies in health technology and informatics
In this work, automated abnormality detection using keypoint information from Speeded-Up Robust feature (SURF) and Scale Invariant Feature Transform (SIFT) descriptors in chest Radiographic (CR) images is investigated and compared. Computerized image...

Towards a Knowledge Graph-Based Explainable Decision Support System in Healthcare.

Studies in health technology and informatics
The decisions derived from AI-based clinical decision support systems should be explainable and transparent so that the healthcare professionals can understand the rationale behind the predictions. To improve the explanations, knowledge graphs are a ...

Investigating the Impact of Misinformation Sources on Health Issues: Implications for Public Health.

Studies in health technology and informatics
The aim of this work is to shortly provide the public with an overview about fake news and artificial intelligence (AI) technology. Especially in our days, where there is a high speed of spreading news, the impact of fake news on public health is cru...

Patient and Graph Embeddings for Predictive Diagnosis of Drug Iatrogenesis.

Studies in health technology and informatics
In the context of the IA.TROMED project we intend to develop and evaluate original algorithmic methods that will rely on semantic enrichment of embeddings by combining new deep learning algorithms, such as models founded on transformers, and symbolic...