Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 90792 - 90826

Published: Jan. 1, 2022

The smart healthcare system has improved the patients quality of life (QoL), where records are being analyzed remotely by distributed stakeholders. It requires a voluminous exchange data for disease prediction via open communication channel, i.e., Internet to train artificial intelligence (AI) models efficiently and effectively. nature channels puts privacy at high risk affects model training collected centralized servers. To overcome this, an emerging concept, federated learning (FL) is viable solution. performs client nodes aggregates their results global model. concept local preserves privacy, confidentiality, integrity patient's which contributes effectively process. applicability FL in domain various advantages, but it not been explored its extent. existing surveys majorly focused on role diverse applications, there exists no detailed or comprehensive survey informatics (HI). We present relative comparison recent with proposed survey. strengthen increase QoL patients, we FL-based layered architecture along case study electronic health (FL-EHR). discuss models, statistical security challenges adoption medical setups. Thus, review presents useful insights both academia practitioners investigate application HI ecosystems.

Language: Английский

---

Non-invasive smart implants in healthcare: Redefining healthcare services delivery through sensors and emerging digital health technologies

Sensors International, Journal Year: 2022, Volume and Issue: 3, P. 100156 - 100156

Published: Jan. 1, 2022

The adoption of non-invasive smart implants is inevitable due to recent technological advancements in and the increasing demand provide pervasive personalized care. integration presents unprecedented opportunities for effective disease prevention, real-time health data collection, early detection diseases, monitoring chronic virtual patient care, patient-tailored treatment, minimally invasive management diseases. Even though research work this area nascent, study potential benefits use healthcare while reflecting on challenges limitations their utilization. With current advancements, regaining momentum managing conditions diseases such as cancer, cardiovascular cognitive impairment; orthopedic surgery, dental surgery; remotely infectious novel coronavirus 2019 (COVID-19). However, full utilization still encounter barriers lack policies frameworks regulating use, limited memory space, consequences implants' failure, clinical challenges, hazards imposed by implants, security, privacy risks. Therefore, there a need robust security measures well formulation guiding development implants. gained experience from next generation may include sophisticated modern computational techniques that can analyze suggest adequate therapeutic actions.

Language: Английский

---

Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Year: 2023, Volume and Issue: 31, P. 2399 - 2423

Published: Jan. 1, 2023

Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches that employ artificial intelligence and notably deep learning, have been extensively embraced with promising outcomes. This study dispenses an exhaustive review between 2016 January 2023 on learning techniques used in prognosis evolution of symptoms characteristics disease based gait, upper limb movement, speech facial expression-related information as well fusion more than one aforementioned modalities. The search resulted selection 87 original research publications, which we summarized relevant regarding utilized development process, demographic information, primary outcomes, sensory equipment related information. Various algorithms frameworks attained state-of-the-art performance many PD-related tasks by outperforming conventional machine approaches, according to reviewed. In meanwhile, identify significant drawbacks existing research, including a lack data availability interpretability models. fast advancements rise accessible provide opportunity address these difficulties near future for broad application this technology clinical settings.

Language: Английский

---

Health apps and patient engagement: A review of effectiveness and user experience

World Journal of Advanced Research and Reviews, Journal Year: 2023, Volume and Issue: 21(2), P. 432 - 440

Published: Feb. 28, 2023

This paper reviews the effectiveness of health apps and their impact on patient engagement, focusing role user experience (UX) in enhancing engagement healthcare outcomes. A comprehensive literature analysis categorizes types evaluates improving Key UX principles essential for app design are outlined, influence is analyzed. The review identifies technological ethical challenges development, including privacy concerns need inclusive design. Future research directions suggested, highlighting areas further exploration engagement. findings emphasize importance effective superior fostering with implications providers, patients, developers leveraging digital technologies to enhance delivery well-being.

Language: Английский

---

Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(11), P. 6854 - 6854

Published: June 5, 2023

Digital transformation, characterised by advanced digitalisation, blockchain, the Internet of Things, artificial intelligence, machine learning technologies, and robotics, has played a key role in revolutionising various industries, especially healthcare sector. The adoption transition (from traditional) to new technology will bring challenges, opportunities, disruptions existing systems. According European Union, we must pursue both digital green transitions achieve sustainable, human-centric, resilient industries world prosperity for all. study aims present novel approach education training health field that is inspired fifth industrial revolution paradigm. paper highlights interventions are required support future so students can develop capacity recognise exploit potential technologies. This article briefly discuss challenges opportunities related systems era transformation beyond. Then, look at enabling technologies from an Industry 5.0 perspective supports health. Finally, teaching paradigm strategies embed academic curricula their capacities embrace minimise disruption inevitably accompany it. By incorporating principles into education, believe gain deeper understanding industry skills enable them deliver more efficient, effective, sustainable system.

Language: Английский

---