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Performance of AI to exclude normal chest radiographs to reduce radiologists' workload.
European radiology
May 17, 2024
INTRODUCTION: This study investigates the performance of a commercially available artificial intelligence (AI) system to identify normal chest radiographs and its potential to reduce radiologist workload.
Psychological and Brain Responses to Artificial Intelligence's Violation of Community Ethics.
Cyberpsychology, behavior and social networking
May 17, 2024
Human moral reactions to artificial intelligence (AI) agents' behavior constitute an important aspect of modern-day human-AI relationships. Although previous studies have mainly focused on autonomy ethics, this study investigates how individuals judg...
Computational reconstruction of mental representations using human behavior.
Nature communications
May 17, 2024
Revealing how the mind represents information is a longstanding goal of cognitive science. However, there is currently no framework for reconstructing the broad range of mental representations that humans possess. Here, we ask participants to indicat...
Machine Learning Differentiates Extracorporeal Membrane Oxygenation Mortality Risk Profiles Among Trauma Patients.
The American surgeon
May 16, 2024
BACKGROUND: Extracorporeal membrane oxygenation (ECMO) is resource intensive with high mortality. Identifying trauma patients most likely to derive a survival benefit remains elusive despite current ECMO guidelines. Our objective was to identify uniq...
Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study.
BMC medical ethics
May 16, 2024
BACKGROUND: Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses ethical challenges.
Value of vendor-agnostic deep learning image denoising in brain computed tomography: A multi-scanner study.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
May 15, 2024
To evaluate the effect of a vendor-agnostic deep learning denoising (DLD) algorithm on diagnostic image quality of non-contrast cranial computed tomography (ncCT) across five CT scanners.This retrospective single-center study included ncCT data of 15...
Pure tone audiogram classification using deep learning techniques.
Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery
May 15, 2024
OBJECTIVE: Pure tone audiometry has played a critical role in audiology as the initial diagnostic tool, offering vital insights for subsequent analyses. This study aims to develop a robust deep learning framework capable of accurately classifying aud...
Application of convolutional neural network for differentiating ovarian thecoma-fibroma and solid ovarian cancer based on MRI.
Acta radiologica (Stockholm, Sweden : 1987)
May 15, 2024
BACKGROUND: Ovarian thecoma-fibroma and solid ovarian cancer have similar clinical and imaging features, and it is difficult for radiologists to differentiate them. Since the treatment and prognosis of them are different, accurate characterization is...
Users' continuance intention towards an AI painting application: An extended expectation confirmation model.
PloS one
May 15, 2024
With the rapid advancement of technology, Artificial Intelligence (AI) painting has emerged as a leading intelligence service. This study aims to empirically investigate users' continuance intention toward AI painting applications by utilizing and ex...
An ergonomic evaluation using a deep learning approach for assessing postural risks in a virtual reality-based smart manufacturing context.
Ergonomics
May 14, 2024
This study proposes an integrated ergonomic evaluation designed to identify unsafe postures, whereby postural risks during industrial work are assessed in the context of virtual reality-based smart manufacturing. Unsafe postures were recognised by id...
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