ArticleSensors (Basel, Switzerland)2023
Managing Security of Healthcare Data for a Modern Healthcare System.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 133 citations in OpenAlex.
- Artificial Intelligence Applications in Medical Devices for Personalized Health Care Solutions: Systematic Review.Journal of medical Internet research · 2026Pooled it
- A federated learning-enabled energy-aware anomaly detection algorithm for secure big data analytics in IoT-based smart healthcare systems.Scientific reports · 2026Article
- Self-care strategies and interventions to address antimicrobial resistance: evidence review and recommendations for national programs, service providers, caregivers, and self-carers.Frontiers in public health · 2026Review
- An IoT-based healthcare system using blockchain technology and multiscale stacked Residual-GRU for secure data transmission.Scientific reports · 2025Article
- AI-embedded IoT healthcare optimization with trust-aware mobile edge computing.Scientific reports · 2025Article
- Edge-Driven Disability Detection and Outcome Measurement in IoMT Healthcare for Assistive Technology.Bioengineering (Basel, Switzerland) · 2025Article
- Integrating advanced neural network architectures with privacy enhanced encryption for secure and intelligent healthcare analytics.Scientific reports · 2025Article
- Data-driven FMEA approach for hazard identification and risk evaluation in digital health.Scientific reports · 2025Article
- Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?Journal of medical Internet research · 2025Article
- Employing large language models safely and effectively as a practicing neurosurgeon.Acta neurochirurgica · 2025Review
- Young Adult Perspectives on Artificial Intelligence-Based Medication Counseling in China: Discrete Choice Experiment.Journal of medical Internet research · 2025Article
- Enhancing smart healthcare networks: Integrating attribute-based encryption for optimization and anti-corruption mechanisms.Heliyon · 2025Article
- EnDuSecFed: an ensemble approach for privacy preserving Federated Learning with dual-security framework for sustainable healthcare.Frontiers in big data · 2025Article
- Strengthening primary health care service competency: a scoping review of challenges, influencing factors, and enhancement strategies.Frontiers in public health · 2025Article
- eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.Sensors (Basel, Switzerland) · 2024Article
- Correlation between psychological traits and the use of smart medical services in young and middle-aged adults: An observational study.World journal of psychiatry · 2024Article
- Article
- Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.Diagnostics (Basel, Switzerland) · 2024Article
- New Horizons of Artificial Intelligence in Medicine and Surgery.Journal of clinical medicine · 2024Article
- Image annotation and curation in radiology: an overview for machine learning practitioners.European radiology experimental · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created previously unimaginable opportunities for boosting clinical and patient services, reducing costs and improving community health. Yet, a fundamental challenge that the modern healthcare management system faces is storing and securely transferring data. Therefore, this research proposes a novel Lionized remora optimization-based serpent (LRO-S) encryption method to encrypt sensitive data and reduce privacy breaches and cyber-attacks from unauthorized users and hackers. The LRO-S method is the combination of hybrid metaheuristic optimization and improved security algorithm. The fitness functions of lion and remora are combined to create a new algorithm for security key generation, which is provided to the serpent encryption algorithm. The LRO-S technique encrypts sensitive patient data before storing it in the cloud. The primary goal of this study is to improve the safety and adaptability of medical professionals' access to cloud-based patient-sensitive data more securely. The experiment's findings suggest that the secret keys generated are sufficiently random and one of a kind to provide adequate protection for the data stored in modern healthcare management systems. The proposed method minimizes the time needed to encrypt and decrypt data and improves privacy standards. This study found that the suggested technique outperformed previous techniques in terms of reducing execution time and is cost-effective.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.