A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations
The hospitality and tourism industry faces serious challenges during public health
emergencies such as COVID-19. Managers are concerned not only about how to maintain …
emergencies such as COVID-19. Managers are concerned not only about how to maintain …
Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and …
A viral outbreak is a global challenge that affects public health and safety. The coronavirus
disease 2019 (COVID-19) has been spreading globally, affecting millions of people …
disease 2019 (COVID-19) has been spreading globally, affecting millions of people …
Blockchain and AI-based solutions to combat coronavirus (COVID-19)-like epidemics: A survey
The beginning of 2020 has seen the emergence of coronavirus outbreak caused by a novel
virus called SARS-CoV-2. The sudden explosion and uncontrolled worldwide spread of …
virus called SARS-CoV-2. The sudden explosion and uncontrolled worldwide spread of …
Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach
B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …
[HTML][HTML] Medicine of the future: How and who is going to treat us?
Medicine's ability to quickly respond to challenges raises questions from researchers,
practitioners, and society as a whole. Our task in this study was to identify key and atypical …
practitioners, and society as a whole. Our task in this study was to identify key and atypical …
Artificial intelligence and machine learning in cancer research: a systematic and thematic analysis of the top 100 cited articles indexed in Scopus database
IH Musa, LO Afolabi, I Zamit, TH Musa… - Cancer …, 2022 - journals.sagepub.com
Introduction Cancer is a major public health problem and a global leading cause of death
where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and …
where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and …
Tackling pandemics in smart cities using machine learning architecture.
With the recent advancement in analytic techniques and the increasing generation of
healthcare data, artificial intelligence (AI) is reinventing the healthcare system for tackling …
healthcare data, artificial intelligence (AI) is reinventing the healthcare system for tackling …
[PDF][PDF] AIS Electronic Library (AISeL)
P Hamm, M Klesel - 2021 - research.utwente.nl
Artificial intelligence promises great potential to change, modify and enhance processes,
products, and business models. Yet, many organizations struggle to leverage those …
products, and business models. Yet, many organizations struggle to leverage those …
[HTML][HTML] Intelligent IoT (IIoT) device to identifying suspected COVID-19 infections using sensor fusion algorithm and real-time mask detection based on the enhanced …
This paper employs a unique sensor fusion (SF) approach to detect a COVID-19 suspect
and the enhanced MobileNetV2 model is used for face mask detection on an Internet-of …
and the enhanced MobileNetV2 model is used for face mask detection on an Internet-of …
[HTML][HTML] Machine learning is the key to diagnose COVID-19: A proof-of-concept study
C Gangloff, S Rafi, G Bouzillé, L Soulat, M Cuggia - Scientific reports, 2021 - nature.com
The reverse transcription-polymerase chain reaction (RT-PCR) assay is the accepted
standard for coronavirus disease 2019 (COVID-19) diagnosis. As any test, RT-PCR provides …
standard for coronavirus disease 2019 (COVID-19) diagnosis. As any test, RT-PCR provides …