Optimized video internet of things using elliptic curve cryptography based encryption and decryption

Alhayani, Bilal; Hamid, Nagham; Almukhtar, Firas Husham; Alkawak, Omar A.; Mahajan, Hemant B.; Kwekha-Rashid, Ameer Sardar; İlhan, Hacı; Marhoon, Haydar Abdulameer; Mohammed, Husam Jasim; Chaloob, Ibrahim Zeghaiton; Alkhayyat, Ahmed

doi:10.1016/j.compeleceng.2022.108022

Cited by 47 publications

(13 citation statements)

References 13 publications

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“…In general, the use of AI to automate routine administrative and operational processes may lead to better customer experiences and service quality, cheaper costs, and more effective project implementations (Al-Hashimi et al, 2022). Once AI is incorporated into the clinical workflow of hospitals, it has the potential to become an even more potent tool that can update and improve electronic health records by creating apps that make it simple for medical professionals to get the patient data they need (Alhayani et al, 2022). AI may also be utilised to streamline ordering procedures to increase productivity and streamline bill creation.…”

Section: Healthcare and Aimentioning

confidence: 99%

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Yeruva

2023

Eduvest

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We see the critical role technology plays in healthcare in the midst of a continuous worldwide health crisis. To combat the epidemic, South Korea, for example, used smart city' technology and government-developed applications that follow individuals in quarantine. A biosensor that can identify the virus in saliva samples has just been created by India's National Institute of Animal Biotechnology, Hyderabad. These developments are made feasible by the usage of certain biosensors that have printed circuit boards with metal core components capable of withstanding large variations in moisture and temperature. A very sophisticated breakthrough, artificial intelligence for IT operations, is altering the healthcare sector in addition to the technology that aid nations in combating the epidemic. This general phrase, also known as AIOps, describes the automated detection and repair of typical IT problems using big data, machine learning, and other AI technologies. AIOps may be used in the healthcare industry to teach computers to analyse CT scan pictures, follow the progression of various illnesses, assess the effectiveness of patient therapy, and much moren.

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Section: Healthcare and Aimentioning

confidence: 99%

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Yeruva

2023

Eduvest

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“…Their system was further monitor and control the disease using wearable devices and sensors. Fog computing, cloud computing, big data analytics, wireless sensor networks, communication protocols [14], and embedded systems, as an IoT enables technologies, can assist healthcare management and monitoring systems to identify potentially infected people with novel coronavirus at an early stage of their illness, so that the outbreak can be controlled more efficiently [12,[15][16][17][18]. Networks based on universal data sharing from IoT technology and artificial intelligence perform productive systems if the standardization protocols of communication being applied in between states/cities within the possibility of cooperation between stakeholders in the case of disasters [2].…”

Section: Iot In Outbreak Diseasesmentioning

confidence: 99%

Technology Applications in Tracking 2019-nCoV and Defeating Future Outbreaks: Iraqi Healthcare Industry in IoT Remote

Meri

Dauwed

Kareem

et al. 2023

Wireless Pers Commun

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A serious effect on people's life, social communication, and surely on medical staff who were forced to monitor their patients' status remotely relying on the available technologies to avoid potential infections and as a result reducing the workload in hospitals. this research tried to investigate the readiness level of healthcare professionals in both public and private Iraqi hospitals to utilize IoT technology in detecting, tracking, and treating 2019-nCoV pandemic, as well as reducing the direct contact between medical staff and patients with other diseases that can be monitored remotely.A cross-sectional descriptive research via online distributed questionnaire, the sample consisted of 113 physicians and 99 pharmacists from three public and two private hospitals who randomly selected by simple random sampling. The 212 responses were deeply analyzed descriptively using frequencies, percentages, means, and standard deviation.The results confirmed that the IoT technology can facilitate patient follow-up by enabling rapid communication between medical staff and patient relatives. Additionally, remote monitoring techniques can measure and treat 2019-nCoV, reducing direct contact by decreasing the workload in healthcare industries. This paper adds to the current healthcare technology literature in Iraq and middle east region an evidence of the readiness to implement IoT technology as an essential technique. Practically, it is strongly advised that healthcare policymakers should implement IoT technology nationwide especially when it comes to safe their employees' life.Iraqi medical staff are fully ready to adopt IoT technology as they became more digital minded after the 2019-nCoV crises and surely their knowledge and technical skills will be improved spontaneously based on diffusion of innovation perspective.

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“…AI has the potential to revolutionize healthcare by improving patient outcomes, reducing costs, and increasing access to care. In this article, we will discuss the current state of AI in the health sector in the United States (Alkasasbeha et al, 2018) (Abueid et al, 2018)(Al-kasasbeh, 2022 (Alhayani et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Health Sector of USA

Pendy¹

2023

JISS

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The article describes how AI has already made a significant impact in the health sector in the US, with many promising future applications. In medical imaging, for example, AI algorithms have been developed that can detect and classify anomalies with high accuracy rates, potentially reducing the need for unnecessary biopsies or surgeries. Personalized medicine is another area where AI is being used to analyze large amounts of patient data and provide tailored treatments. AI is also being used to improve the accuracy and efficiency of electronic health records (EHRs) by automatically detecting errors and inconsistencies. In drug discovery, AI algorithms can analyze large data sets and predict which compounds are likely to be effective in treating a particular disease, potentially reducing the time and cost of drug development. In the future, AI is expected to play an even greater role in precision medicine, enabling clinicians to develop customized treatment plans based on a patient's individual genetic and medical history. AI is also being developed for use in virtual assistants, which can provide patients with personalized health advice and reminders. Clinical decision support systems are another area where AI is expected to have a significant impact, helping clinicians to make more informed decisions by analyzing patient data and providing recommendations based on the latest research and best practices. Overall, the article suggests that AI has the potential to transform healthcare by improving patient outcomes, reducing costs, and increasing access to care. However, the article also acknowledges that there are challenges to be addressed, such as ensuring the accuracy and fairness of AI algorithms and addressing privacy concerns.

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Optimized video internet of things using elliptic curve cryptography based encryption and decryption

Cited by 47 publications

References 13 publications

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Technology Applications in Tracking 2019-nCoV and Defeating Future Outbreaks: Iraqi Healthcare Industry in IoT Remote

Artificial Intelligence in Health Sector of USA

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