An overview of clinical decision support systems: benefits, risks, and strategies for success
Computerized clinical decision support systems, or CDSS, represent a paradigm shift in
healthcare today. CDSS are used to augment clinicians in their complex decision-making …
healthcare today. CDSS are used to augment clinicians in their complex decision-making …
Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review
Cloud computing offers an innovative method of delivering IT services efficiently. Extant
literature suggests that cloud technology can enhance the level of services in various …
literature suggests that cloud technology can enhance the level of services in various …
A blockchain-based medical data sharing and protection scheme
Electronic health record (EHR) has recorded the process of occurrence, development, and
treatment of diseases. So it has high medical value. Owing to the private and sensitive …
treatment of diseases. So it has high medical value. Owing to the private and sensitive …
[HTML][HTML] Tamper-resistant mobile health using blockchain technology
Background: Digital health technologies, including telemedicine, mobile health (mHealth),
and remote monitoring, are playing a greater role in medical practice. Safe and accurate …
and remote monitoring, are playing a greater role in medical practice. Safe and accurate …
Smartphones let surgeons know WhatsApp: an analysis of communication in emergency surgical teams
Background Outdated communication technologies in healthcare can place patient safety at
risk. This study aimed to evaluate implementation of the WhatsApp messaging service within …
risk. This study aimed to evaluate implementation of the WhatsApp messaging service within …
A sco** review of cloud computing in healthcare
L Griebel, HU Prokosch, F Köpcke… - BMC medical informatics …, 2015 - Springer
Background Cloud computing is a recent and fast growing area of development in
healthcare. Ubiquitous, on-demand access to virtually endless resources in combination …
healthcare. Ubiquitous, on-demand access to virtually endless resources in combination …
Big data analytics for genomic medicine
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …
VAULT: Reducing paging overheads in SGX with efficient integrity verification structures
M Taassori, A Shafiee… - Proceedings of the Twenty …, 2018 - dl.acm.org
Intel's SGX offers state-of-the-art security features, including confidentiality, integrity, and
authentication (CIA) when accessing sensitive pages in memory. Sensitive pages are …
authentication (CIA) when accessing sensitive pages in memory. Sensitive pages are …
Recent advances in deep learning and medical imaging for head and neck cancer treatment: MRI, CT, and PET scans
M Illimoottil, D Ginat - Cancers, 2023 - mdpi.com
Simple Summary Deep learning techniques have significant potential in head and neck
cancer imaging, particularly in tumor detection, segmentation, and outcome prediction using …
cancer imaging, particularly in tumor detection, segmentation, and outcome prediction using …
Privacy preservation in e-health cloud: taxonomy, privacy requirements, feasibility analysis, and opportunities
Electronic health records (EHRs) are increasingly employed to maintain, store and share
varied types of patient data. The data can also be utilized for various research purposes …
varied types of patient data. The data can also be utilized for various research purposes …