Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things
IntroductionThe convergence of healthcare with the Internet of Things (IoT) and Artificial Intelligence (AI) is reshaping medical practice with promising enhanced data-driven insights, automated decision-making, and remote patient monitoring. It has the transformative potential of these technologies...
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2024.1442254/full |
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| author | Poshan Belbase Rajan Bhusal Sapana Sharma Ghimire Shreesti Sharma Bibek Banskota |
| author_facet | Poshan Belbase Rajan Bhusal Sapana Sharma Ghimire Shreesti Sharma Bibek Banskota |
| author_sort | Poshan Belbase |
| collection | DOAJ |
| description | IntroductionThe convergence of healthcare with the Internet of Things (IoT) and Artificial Intelligence (AI) is reshaping medical practice with promising enhanced data-driven insights, automated decision-making, and remote patient monitoring. It has the transformative potential of these technologies to revolutionize diagnosis, treatment, and patient care.PurposeThis study aims to explore the integration of IoT and AI in healthcare, outlining their applications, benefits, challenges, and potential risks. By synthesizing existing literature, this study aims to provide insights into the current landscape of AI, IoT, and AIoT in healthcare, identify areas for future research and development, and establish a framework for the effective use of AI in health.MethodA comprehensive literature review included indexed databases such as PubMed/Medline, Scopus, and Google Scholar. Key search terms related to IoT, AI, healthcare, and medicine were employed to identify relevant studies. Papers were screened based on their relevance to the specified themes, and eventually, a selected number of papers were methodically chosen for this review.ResultsThe integration of IoT and AI in healthcare offers significant advancements, including remote patient monitoring, personalized medicine, and operational efficiency. Wearable sensors, cloud-based data storage, and AI-driven algorithms enable real-time data collection, disease diagnosis, and treatment planning. However, challenges such as data privacy, algorithmic bias, and regulatory compliance must be addressed to ensure responsible deployment of these technologies.ConclusionIntegrating IoT and AI in healthcare holds immense promise for improving patient outcomes and optimizing healthcare delivery. Despite challenges such as data privacy concerns and algorithmic biases, the transformative potential of these technologies cannot be overstated. Clear governance frameworks, transparent AI decision-making processes, and ethical considerations are essential to mitigate risks and harness the full benefits of IoT and AI in healthcare. |
| format | Article |
| id | doaj-art-625f1514eb5f4f698a6e41918bf59752 |
| institution | DOAJ |
| issn | 2624-8212 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj-art-625f1514eb5f4f698a6e41918bf597522025-08-20T02:49:52ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122024-12-01710.3389/frai.2024.14422541442254Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of ThingsPoshan Belbase0Rajan Bhusal1Sapana Sharma Ghimire2Shreesti Sharma3Bibek Banskota4Department of Physics, Catholic University of America, Washington, DC, United StatesHospital and Rehabilitation Centre for the Disabled Children (HRDC), Banepa, NepalDepartment of Home Science, Tribhuvan University, Kathmandu, NepalMarie Stopes Nepal, Kathmandu, NepalHospital and Rehabilitation Centre for the Disabled Children (HRDC), Banepa, NepalIntroductionThe convergence of healthcare with the Internet of Things (IoT) and Artificial Intelligence (AI) is reshaping medical practice with promising enhanced data-driven insights, automated decision-making, and remote patient monitoring. It has the transformative potential of these technologies to revolutionize diagnosis, treatment, and patient care.PurposeThis study aims to explore the integration of IoT and AI in healthcare, outlining their applications, benefits, challenges, and potential risks. By synthesizing existing literature, this study aims to provide insights into the current landscape of AI, IoT, and AIoT in healthcare, identify areas for future research and development, and establish a framework for the effective use of AI in health.MethodA comprehensive literature review included indexed databases such as PubMed/Medline, Scopus, and Google Scholar. Key search terms related to IoT, AI, healthcare, and medicine were employed to identify relevant studies. Papers were screened based on their relevance to the specified themes, and eventually, a selected number of papers were methodically chosen for this review.ResultsThe integration of IoT and AI in healthcare offers significant advancements, including remote patient monitoring, personalized medicine, and operational efficiency. Wearable sensors, cloud-based data storage, and AI-driven algorithms enable real-time data collection, disease diagnosis, and treatment planning. However, challenges such as data privacy, algorithmic bias, and regulatory compliance must be addressed to ensure responsible deployment of these technologies.ConclusionIntegrating IoT and AI in healthcare holds immense promise for improving patient outcomes and optimizing healthcare delivery. Despite challenges such as data privacy concerns and algorithmic biases, the transformative potential of these technologies cannot be overstated. Clear governance frameworks, transparent AI decision-making processes, and ethical considerations are essential to mitigate risks and harness the full benefits of IoT and AI in healthcare.https://www.frontiersin.org/articles/10.3389/frai.2024.1442254/fullmachine learningdeep learning and NLPLLMSAIIOT in medicineAIoT |
| spellingShingle | Poshan Belbase Rajan Bhusal Sapana Sharma Ghimire Shreesti Sharma Bibek Banskota Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things Frontiers in Artificial Intelligence machine learning deep learning and NLP LLMS AI IOT in medicine AIoT |
| title | Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things |
| title_full | Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things |
| title_fullStr | Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things |
| title_full_unstemmed | Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things |
| title_short | Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things |
| title_sort | assuring assistance to healthcare and medicine internet of things artificial intelligence and artificial intelligence of things |
| topic | machine learning deep learning and NLP LLMS AI IOT in medicine AIoT |
| url | https://www.frontiersin.org/articles/10.3389/frai.2024.1442254/full |
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