AIMC Topic: Humans

Clear Filters Showing 41691 to 41700 of 95995 articles

Using natural language processing and machine learning to replace human content coders.

Psychological methods
Content analysis is a common and flexible technique to quantify and make sense of qualitative data in psychological research. However, the practical implementation of content analysis is extremely labor-intensive and subject to human coder errors. Ap...

Occupational health and safety risk assessment using a fuzzy multi-criteria approach in a hospital in Chennai, India.

International journal of occupational safety and ergonomics : JOSE
Hospitals provide direct and indirect employment benefits to medical professionals. Accidents in hospitals often lead to disastrous consequences such as fatalities, property damage and economic losses. It is, therefore, imperative to have an occupat...

Development of artificial intelligence model for supporting implant drilling protocol decision making.

Journal of prosthodontic research
Purpose This study aimed to develop an artificial intelligence (AI) model to support the determination of an appropriate implant drilling protocol using cone-beam computed tomography (CBCT) images.Methods Anonymized CBCT images were obtained from 60 ...

Deep learning-based landmark recognition and angle measurement of full-leg plain radiographs can be adopted to assess lower extremity alignment.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PURPOSE: Evaluating lower extremity alignment using full-leg plain radiographs is an essential step in diagnosis and treatment of patients with knee osteoarthritis. The study objective was to present a deep learning-based anatomical landmark recognit...

Targeting the Future: Developing a Training Curriculum for Robotic Assisted Neurosurgery.

World neurosurgery
OBJECTIVE: Technological advances have significantly fostered the use of robotics in neurosurgery. Due to their novelty, there is a need to develop training methods within neurosurgical residency programs that provide trainees the skills to utilize t...

Natural Language Processing in Radiology: Update on Clinical Applications.

Journal of the American College of Radiology : JACR
Radiological reports are a valuable source of information used to guide clinical care and support research. Organizing and managing this content, however, frequently requires several manual curations because of the more common unstructured nature of ...

[Artificial intelligence and radiomics : Value in cardiac MRI].

Radiologie (Heidelberg, Germany)
CLINICAL/METHODICAL ISSUE: Cardiac diseases are the leading cause of death. Many diseases can be specifically treated once a valid diagnosis is established. Cardiac magnetic resonance imaging (MRI) plays a central role in the workup of many cardiac p...

Trends in artificial intelligence in nursing: Impacts on nursing management.

Journal of nursing management
OBJECTIVE: To investigate the academic use of artificial intelligence (AI) in nursing.

Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.

Computers in biology and medicine
COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject of several studies. Deep Neural Networks with hundreds or even millions of parameters (weights) are referred to as "black boxes" because their behavior...

Implementation of an Intelligent Exam Supervision System Using Deep Learning Algorithms.

Sensors (Basel, Switzerland)
Examination cheating activities like whispering, head movements, hand movements, or hand contact are extensively involved, and the rectitude and worthiness of fair and unbiased examination are prohibited by such cheating activities. The aim of this r...