Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 31 - 43
Опубликована: Янв. 1, 2025
Язык: Английский
Journal of Personalized Medicine, Год журнала: 2023, Номер 13(6), С. 951 - 951
Опубликована: Июнь 5, 2023
Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses following key aspects: (i) medical imaging diagnostics, (ii) virtual patient care, (iii) research drug discovery, (iv) engagement compliance, (v) rehabilitation, (vi) other administrative applications. The impact observed detecting clinical conditions diagnostic services, controlling outbreak coronavirus disease 2019 (COVID-19) with early diagnosis, providing care using AI-powered tools, managing electronic health records, augmenting compliance treatment plan, reducing workload professionals (HCPs), discovering new drugs vaccines, spotting prescription errors, extensive data storage analysis, technology-assisted rehabilitation. Nevertheless, this science pitch meets several technical, ethical, social challenges, including privacy, safety, right to decide try, costs, information consent, access, efficacy, while integrating into governance crucial for safety accountability raising HCPs' belief enhancing acceptance boosting significant consequences. Effective prerequisite precisely address regulatory, trust issues advancing implementation AI. Since COVID-19 hit global system, concept has created revolution healthcare, such an uprising could be another step forward meet future needs.
Язык: Английский
Процитировано
357
IEEE Access, Год журнала: 2023, Номер 11, С. 12765 - 12795
Опубликована: Янв. 1, 2023
The rapid progress in digitalization and automation have led to an accelerated growth healthcare, generating novel models that are creating new channels for rendering treatment at reduced cost. Metaverse is emerging technology the digital space which has huge potential enabling realistic experiences patients as well medical practitioners. a confluence of multiple technologies such artificial intelligence, virtual reality, augmented internet devices, robotics, quantum computing, etc. through directions providing quality healthcare services can be explored. amalgamation these ensures immersive, intimate personalized patient care. It also provides adaptive intelligent solutions eliminates barriers between providers receivers. This article comprehensive review emphasizing on state art, adopt applications, related projects. issues adaptation applications identified plausible highlighted part future research directions.
Язык: Английский
Процитировано
336
IEEE Access, Год журнала: 2023, Номер 11, С. 69686 - 69707
Опубликована: Янв. 1, 2023
In recent times, the emergence of Metaverse has garnered worldwide attention as an innovative digital space that holds immense potential to provide a wide range health services medical professionals and patients. With increasing stress on healthcare systems, it become crucial explore latest cost-effective solutions can fast reliable services. The focus this study, therefore, is applications metaverse in various care systems elaborate how efficiently improve clinical management Consequently, in-depth assessment been carried out, while covering its core fundamentals, key technologies, diverse medicine, including but not limited to, emergency response learning, hands-on experience anatomy orthopaedics, paediatrics so on. To carry out we have used exploratory approach analyze qualitative data our systematic review. Relevant articles from scientific databases such Web Science, Springer, Scopus, IEEE identified, analysis conducted using PRISMA reporting guideline ensure transparent comprehensive reporting. results study suggest transform by introducing novel methods for delivering Metaverse's AR/VR technologies enable remote consultations training, benefiting patients professionals. Additionally, access health-related information resources, empowering them manage their better make more informed decisions.
Язык: Английский
Процитировано
105
Electronics, Год журнала: 2023, Номер 12(17), С. 3541 - 3541
Опубликована: Авг. 22, 2023
The Internet of Medical Things (IoMT) has become an attractive playground to cybercriminals because its market worth and rapid growth. These devices have limited computational capabilities, which ensure minimum power absorption. Moreover, the manufacturers use simplified architecture offer a competitive price in market. As result, IoMTs cannot employ advanced security algorithms defend against cyber-attacks. IoMT easy prey for due access valuable data rapidly expanding market, as well being comparatively easier exploit.As intrusion rate is experiencing surge. This paper proposes novel Intrusion Detection System (IDS), namely SafetyMed, combining Convolutional Neural Networks (CNN) Long Short-Term Memory (LSTM) networks from sequential grid data. SafetyMed first IDS that protects malicious image network traffic. innovative ensures optimized detection by trade-off between False Positive Rate (FPR) (DR). It detects intrusions with average accuracy 97.63% precision recall, F1-score 98.47%, 97%, 97.73%, respectively. In summary, potential revolutionize many vulnerable sectors (e.g., medical) ensuring maximum protection intrusion.
Язык: Английский
Процитировано
46
IEEE Access, Год журнала: 2024, Номер 12, С. 20603 - 20623
Опубликована: Янв. 1, 2024
The Internet of Medical Things (IoMT) is the subset (IoT) that connects multiple medical devices, collect information/data from and transmits process data in real-time. IoMT crucial for increasing electronic device accuracy, reliability, productivity healthcare industry. has emerged as a next-generation bio-analytical tool converges network-linked biomedical devices with relevant software applications advancing human health. Adapting associated technologies fixed several problems using telemedicine, remote monitoring, sensors, robotics, etc. However, adopting large population challenging due to extensive management, privacy, security, upgradation, scalability, Although significant research been carried out this domain, identifying emerging trends highlighting technological advancement challenges within required its success. Moreover, it will aid policymakers, scientists, practitioners, researchers measure pertinence sectors more efficiently. This review discusses evolution IoMT, Machine Learning Integration, Security, interoperability devices.
Язык: Английский
Процитировано
25
Computational Intelligence and Neuroscience, Год журнала: 2022, Номер 2022, С. 1 - 13
Опубликована: Авг. 4, 2022
Early detection of brain tumors can save precious human life. This work presents a fully automated design to classify tumors. The proposed scheme employs optimal deep learning features for the classification FLAIR, T1, T2, and T1CE Initially, we normalized dataset pass them ResNet101 pretrained model perform transfer our dataset. approach results in fine-tuning tumor classification. problem with this is generation redundant features. These degrade accuracy cause computational overhead. To tackle problem, find by utilizing differential evaluation particle swarm optimization algorithms. obtained feature vectors are then serially fused get single-fused vector. PCA applied vector final optimized fed as input various classifiers Performance analyzed at stages. show that technique achieved speedup 25.5x prediction time on medium neural network an 94.4%. significant improvement over state-of-the-art techniques terms overhead maintaining approximately same accuracy.
Язык: Английский
Процитировано
56
Sensors, Год журнала: 2022, Номер 22(15), С. 5517 - 5517
Опубликована: Июль 24, 2022
With the widespread and increasing use of Internet-of-Things (IoT) devices in all aspects daily life, a hopeful future for people, data, processes is emerging. Extensive spans allow an integrated life cycle to be created from home enterprise. The Internet Medical things (IoMT) forms flourishing surface that incorporates sensitive information human being sent doctors or hospitals. These open enormous space hackers utilize flaws IoMT network make profit. This creates demand standardizing regulations secure system. Though many authorities are making standards, there some lacking system which makes product vulnerable. Although established mechanisms present IoT network, number obstacles preventing its general implementation network. One adoption challenges itself, because networks consist battery-powered with constrained processing capability. A overview different security integrations applications has been presented several papers. Therefore, this paper aims provide ecosystem, regulations, using cryptographic solutions, physical unclonable functions (PUF)-based blockchain, named data networking (NDN) as well, pros cons.
Язык: Английский
Процитировано
45
IEEE Access, Год журнала: 2024, Номер 12, С. 23887 - 23913
Опубликована: Янв. 1, 2024
The digital economy has engendered Health Metaverse, an innovative technology with vast potential to transform healthcare through immersive experiences. Metaverse serves as a convergence point for multitude of technologies, including artificial intelligence (AI), virtual reality in heath, augmented health, internet-connected medical devices, quantum computing, and more. This opens up possibilities, advancing quality healthcare. Therefore, reviewing recent influential literature is critical understand current methods envision future improvements. study utilizes hybrid bibliometric-structured methodology combining descriptive bibliometric network analysis. To gather information we conducted searches on the Web Science database reviewed references. Our inclusion criteria focused articles reviews published between January 2012 June 2023. We used keyword groups our searches. Then performed analysis followed by content Papers were reviewed, analyzed categorized into focuses multimodal standards, medical/social data fusion, telemedicine, online health management, AI. 34 thousand publications over 10 years proposes informatics Metaverse. Five research direction clusters identified. It delineates intelligent solutions bridging barriers. In conclusion, this review examines explores cutting edge applications, projects highlights areas where adaptation may be needed. identifies issues suggests warranting further research.
Язык: Английский
Процитировано
15
Biomedical Signal Processing and Control, Год журнала: 2024, Номер 93, С. 106213 - 106213
Опубликована: Март 20, 2024
Язык: Английский
Процитировано
12
Discover Sustainability, Год журнала: 2024, Номер 5(1)
Опубликована: Май 30, 2024
Abstract Ensuring good health and well-being is one of the crucial Sustainable Development Goals (SDGs) that aims to promote healthy lives for people all ages. This involves providing affordable environmentally friendly medical services public fairly equitably. Good goals include achieving fair outcomes strong healthcare systems. It also highlights importance integrating sustainable considerations into policy frameworks developing countries, which are established address social factors influence health. Regarding reform, Information Communication Technologies (ICTs) play a pivotal role as key enablers improve patient access, treatment quality, system efficiency. shift in focus significance fostering digital accessibility, sustainability, inventiveness, cybersecurity, leadership. Nevertheless, incorporating progressively advancing ICT technology systems, sometimes called transformation, not simple. However, some challenges arise integration, application design, security measures. While numerous studies have been suggested tackle technologies these had limited scope considered several factors. Therefore, there pressing need an extensive research study focusing on integration technologies, design challenges, privacy areas, potential positive negative effects. this paper contributes literature covering important SDG, “Good well-being,” its along with summarising our findings detailed taxonomical way. First, we analyze all-encompassing taxonomy prior well-being, emphasizing healthcare, specifically applications associated Electronic Health (E-Health), future avenues exploration. Then, explore transformation significant components, highlight E-Health’s benefits, categorize challenges. Next, determine Blockchain Technology today’s leading E-Health. We discuss characteristics, describe possible types Blockchain-based E-Health use cases. Furthermore, compare impacts identify open issues directions, strengthening researchers solutions.
Язык: Английский
Процитировано
10