TY - GEN
T1 - AI and IoT for CT-Based COVID-19 Diagnosis
AU - Wang, Jiaji
AU - Wang, Shuihua
AU - Górriz, Juan Manuel
AU - Zhang, Yudong
N1 - Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.
PY - 2025
Y1 - 2025
N2 - The fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) in CT-based COVID-19 diagnosis represents a seismic shift in healthcare. Amid the pandemic, swift and accurate diagnosis is critical, and Computed Tomography (CT) imaging plays a pivotal role. AI algorithms automate the detection of subtle anomalies within CT scans, while IoT sensors capture real-time physiological data, providing a holistic view of patient health. This collaboration expedites diagnosis and enables personalized treatment strategies. Yet, it poses intricate challenges, including technical integration, data security, and privacy concerns. Striking the right balance between innovation and safeguarding patient information is paramount. In conclusion, the integration of AI and IoT in CT-based COVID-19 diagnosis redefines healthcare, offering transformative potential contingent upon addressing these challenges effectively.
AB - The fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) in CT-based COVID-19 diagnosis represents a seismic shift in healthcare. Amid the pandemic, swift and accurate diagnosis is critical, and Computed Tomography (CT) imaging plays a pivotal role. AI algorithms automate the detection of subtle anomalies within CT scans, while IoT sensors capture real-time physiological data, providing a holistic view of patient health. This collaboration expedites diagnosis and enables personalized treatment strategies. Yet, it poses intricate challenges, including technical integration, data security, and privacy concerns. Striking the right balance between innovation and safeguarding patient information is paramount. In conclusion, the integration of AI and IoT in CT-based COVID-19 diagnosis redefines healthcare, offering transformative potential contingent upon addressing these challenges effectively.
KW - Artificial Intelligence
KW - COVID-19 diagnosis
KW - Internet of Things
UR - http://www.scopus.com/inward/record.url?scp=105004665253&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-90084-6_1
DO - 10.1007/978-3-031-90084-6_1
M3 - Conference Proceeding
AN - SCOPUS:105004665253
SN - 9783031900839
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 3
EP - 11
BT - IoT and Big Data Technologies for Health Care - 4th IoT Technologies for Health Care, IotCare 2023, Proceedings
A2 - Zhang, Zheng
A2 - Wang, Shuihua
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on IoT and Big Data Technologies for Health Care, IotCare 2023
Y2 - 17 November 2023 through 18 November 2023
ER -