AIMC Topic: Artificial Intelligence

Clear Filters Showing 9991 to 10000 of 26332 articles

Computational pathology in cancer diagnosis, prognosis, and prediction - present day and prospects.

The Journal of pathology
Computational pathology refers to applying deep learning techniques and algorithms to analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led to an explosion in innovation in computational pathology, ranging fro...

Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study.

PLoS neglected tropical diseases
BACKGROUND: Deep learning, which is a part of a broader concept of artificial intelligence (AI) and/or machine learning has achieved remarkable success in vision tasks. While there is growing interest in the use of this technology in diagnostic suppo...

Exploring intelligent hospital management mode based on artificial intelligence.

Frontiers in public health
OBJECTIVE: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intelligent hospital management mode specifically tailored to COVID-19 patients.

How artificial intelligence is reshaping the autonomy and boundary work of radiologists. A qualitative study.

Sociology of health & illness
The application of artificial intelligence (AI) in medical practice is spreading, especially in technologically dense fields such as radiology, which could consequently undergo profound transformations in the near future. This article aims to qualita...

Application of Intelligent Medical Sensing Technology.

Biosensors
With the popularization of intelligent sensing and the improvement of modern medical technology, intelligent medical sensing technology has emerged as the times require. This technology combines basic disciplines such as physics, mathematics, and mat...

Algorithmic bias in artificial intelligence is a problem-And the root issue is power.

Nursing outlook
BACKGROUND: Artificial intelligence (AI) in health care continues to expand at a rapid rate, impacting both nurses and communities we accompany in care.

Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles?

Expert review of pharmacoeconomics & outcomes research
OBJECTIVES: Artificial intelligence-powered tools, such as ASReview, could reduce the burden of title and abstract screening. This study aimed to assess the accuracy and efficiency of using ASReview in a health economic context.

Towards reproducible radiomics research: introduction of a database for radiomics studies.

European radiology
OBJECTIVES: To investigate the model-, code-, and data-sharing practices in the current radiomics research landscape and to introduce a radiomics research database.

Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence.

Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia
OBJECTIVE: Clinical data on which artificial intelligence (AI) algorithms are trained and tested provide the basis to improve diagnosis or treatment of infectious diseases (ID). We aimed to identify important data for ID research to prioritise effort...