AI in Disease Surveillance — An Overview of How AI Can Be Used in Disease Surveillance and Outbreak Detection in Real‐World Scenarios

Published: Jan. 3, 2025

In conclusion, the mixture of AI with blockchain generation gives a groundbreaking technique to sickness monitoring and outbreak detection, presenting progressed safety, privacy, efficiency in public health surveillance efforts. Via deployment decentralized networks, encrypted data can be securely saved shared amongst stakeholders, mitigating hazard records breaches unauthorized get right entry to. Moreover, algorithms deployed on these networks allow actual-time analysis records, facilitating early detection disease outbreaks proactive intervention strategies. The usage clever contracts automates sharing agreements response protocols, streamlining communique coordination government healthcare companies. Looking beforehand, there great ability for addition innovation advancement this area. One promising road future studies is exploration quantum computing facet technology even more safety computational energy surveillance. Quantum-resistant cryptographic included guard closer potential threats posed useful resource adversaries. combination Internet Things (IoT) devices sensor blockchain-enabled structures need real-time collection from big number sources, enhancing granularity accuracy disorder Furthermore, use machine language also enhance transparency trustworthiness AI-driven structures, allowing stakeholders understand interpret selections made using algorithms. Explainable (XAI) methodologies help bridge gap between technical complexity practical usability, empowering experts policymakers make informed based totally AI-generated insights. expansion beyond infectious different regions health, along continual management, environmental monitoring, delivery optimization, holds promise general consequences. By leveraging strength decentralized, secure, transparent technology, we create where data-driven approaches are norm, permitting us better expect, monitor, respond emerging an increasing interconnected world. summary, represents transformative paradigm capability impact. continuing explore new methodologies, technologies, programs space, will deliver that resilient, responsive, equitable, end delivering effects people companies worldwide.

Language: Английский

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Artificial Intelligence for COVID-19: Rapid Review

Journal of Medical Internet Research, Journal Year: 2020, Volume and Issue: 22(10), P. e21476 - e21476

Published: Sept. 16, 2020

COVID-19 was first discovered in December 2019 and has since evolved into a pandemic.To address this global health crisis, artificial intelligence (AI) been deployed at various levels of the care system. However, AI both potential benefits limitations. We therefore conducted review applications for COVID-19.We performed an extensive search PubMed EMBASE databases COVID-19-related English-language studies published between 1, 2019, March 31, 2020. supplemented database with reference list checks. A thematic analysis narrative conducted.In total, 11 papers were included review. applied to four areas: diagnosis, public health, clinical decision making, therapeutics. identified several limitations including insufficient data, omission multimodal methods AI-based assessment, delay realization benefits, poor internal/external validation, inability be used by laypersons, resource-poor settings, presence ethical pitfalls, legal barriers. could potentially explored other surveillance, combination big operation core services, management patients COVID-19.In view continuing increase number cases, given that multiple waves infections may occur, there is need effective help control pandemic. Despite its shortcomings, holds greatly augment existing human efforts, which otherwise overwhelmed high patient numbers.

Language: Английский

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Considerations for development and use of AI in response to COVID-19

International Journal of Information Management, Journal Year: 2020, Volume and Issue: 55, P. 102170 - 102170

Published: June 8, 2020

Language: Английский

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Is COVID-19 pushing us to the Fifth Industrial Revolution (Society 5.0)?

Pakistan Journal of Medical Sciences, Journal Year: 2021, Volume and Issue: 37(2)

Published: Jan. 4, 2021

The coronavirus disease 2019 (COVID-19) pandemic may further promote the development of Industry 4.0 leading to fifth industrial revolution (Society 5.0). technology such as Big Data (BD) and Artificial Intelligence (AI) lead a personalized system healthcare in Pakistan. final bridge between humans machines is Society 5.0, also known super-smart society that employs AI manufacturing logistics. In this communication, we review various 5.0 technologies including robotics being inspected control rate transmission COVID-19 globally. We demonstrate applicability advanced information AI, BD, Information Technology (IoT) healthcare. Lastly, discuss evolution given impact accordance with technological strategies considered employed. doi: https://doi.org/10.12669/pjms.37.2.3387 How cite this:Sarfraz Z, Sarfraz A, Iftikar HM, Akhund R. Is pushing us Fifth Industrial Revolution 5.0)? Pak J Med Sci. 2021;37(2):591-594. This an Open Access article distributed under terms Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, reproduction any medium, provided original work properly cited.

Language: Английский

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CovidSens: a vision on reliable social sensing for COVID-19

Artificial Intelligence Review, Journal Year: 2020, Volume and Issue: 54(1), P. 1 - 25

Published: June 12, 2020

With the spiraling pandemic of Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about disease. Due ubiquity Internet connectivity smart devices, social sensing is emerging as a dynamic AI-driven paradigm extract real-time observations from online users. In this paper, we propose CovidSens, vision sensing-based risk alert systems spontaneously obtain analyze data infer state COVID-19 propagation. CovidSens can actively help keep general public informed spread identify risk-prone areas by inferring future propagation patterns. The concept motivated three observations: (1) people have been sharing their health experience via media, (2) official warning channels news agencies are relatively slower than reporting experiences on (3) users frequently equipped with substantially capable mobile devices that able perform non-trivial on-device computation for processing analytics. We envision an unprecedented opportunity leverage posts generated ordinary build analytic system gathering circulating vital Specifically, attempts answer questions: How distill reliable coexistence prevailing rumors misinformation in media? inform latest effectively, them remain prepared? computational power edge (e.g., smartphones, IoT UAVs) construct fully integrated edge-based platforms rapid detection spread? discuss roles potential challenges developing systems. approaches originating multiple disciplines AI, estimation theory, machine learning, constrained optimization) be effective addressing challenges. Finally, outline few research directions work CovidSens.

Language: Английский

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