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Estimation method for distance cost to access medical services: Policy and patient privacy implications in Taiwan [PDF]

open access: yesFrontiers in Public Health, 2022
IntroductionIndicators of healthcare access with high reliability, validity, timeliness, and easy application can aid in an understanding of the supply and demand of a region's medical resources and assist governments in allocating resources more ...
Siao-Jing Guo   +3 more
doaj   +2 more sources

Artificial intelligence ethics in precision oncology: balancing advancements in technology with patient privacy and autonomy [PDF]

open access: yesExploration of Targeted Anti-tumor Therapy, 2023
Precision oncology is a rapidly evolving field that uses advanced technologies to deliver personalized cancer care based on a patient’s unique genetic and clinical profile.
Bahareh Farasati Far
doaj   +2 more sources

Awareness of radiology staff in Saudi Arabia regarding patient privacy, ethical, and legal implications of sharing medical imaging on online platforms [PDF]

open access: yesFrontiers in Medicine
BackgroundThe digitization of radiology through online platforms has introduced significant challenges in maintaining patient privacy and complying with ethical and legal standards, particularly in Saudi Arabia’s rapidly evolving healthcare system.AimTo ...
Wejdan M. Arif
doaj   +2 more sources

Mediating effect of moral sensitivity in the relationship between mental workload and patient privacy protection among operating room nurses in China: a cross-sectional study [PDF]

open access: yesFrontiers in Medicine
BackgroundPatient privacy protection is a fundamental ethical obligation in healthcare, particularly in operating rooms where anesthesia and complex surgical procedures increase patients’ vulnerability.
Ruyi Tan   +6 more
doaj   +2 more sources

Electronic Privacy: Patient Concerns [PDF]

open access: yesCommunications of the IIMA, 2015
This study postulates issues related to electronic privacy and addresses the factors that directly effect personal electronic information. There is no positivist study done to measure patient privacy concerns using Smith et a 1(1996) privacy model and the effect of previous experience and media on these concerns. This study measures the four dimensions
Akram, Anza A.
openaire   +4 more sources

Implementation of patient pagers in radiation oncology waiting rooms for patient privacy and satisfaction [PDF]

open access: yesBMC Research Notes, 2018
Objective In order to improve privacy, quality, and coordination of care, a patient pager system was introduced to notify patients of daily treatment in the Department of Radiation Oncology.
Tasneem Kaleem   +5 more
doaj   +2 more sources

An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks

open access: yesSensors, 2021
Recent research in computer vision has shown that original images used for training of deep learning models can be reconstructed using so-called inversion attacks.
Nagesh Subbanna   +3 more
doaj   +1 more source

The National Institutes of Health COVID-19 NeuroDatabank and NeuroBiobank: A National Resource for Learning, Discovery, and Progress

open access: yesFrontiers in Neurology, 2021
Patients suffering from COVID-19 experience a wide range of symptoms and sequelae, including increasingly recognized neurological problems. A concerted effort is necessary to identify and characterize these issues, whether newly appearing as a result of ...
Andrea B. Troxel   +2 more
doaj   +1 more source

An FPGA Based Tracking Implementation for Parkinson’s Patients

open access: yesSensors, 2020
This paper presents a study on the optimization of the tracking system designed for patients with Parkinson’s disease tested at a day hospital center. The work performed significantly improves the efficiency of the computer vision based system in terms ...
Giuseppe Conti   +3 more
doaj   +1 more source

Federated Learning in Ocular Imaging: Current Progress and Future Direction

open access: yesDiagnostics, 2022
Advances in artificial intelligence deep learning (DL) have made tremendous impacts on the field of ocular imaging over the last few years. Specifically, DL has been utilised to detect and classify various ocular diseases on retinal photographs, optical ...
Truong X. Nguyen   +6 more
doaj   +1 more source

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