[HTML][HTML] Artificial intelligence in information systems research: A systematic literature review and research agenda

C Collins, D Dennehy, K Conboy, P Mikalef - International Journal of …, 2021 - Elsevier
AI has received increased attention from the information systems (IS) research community in
recent years. There is, however, a growing concern that research on AI could experience a …

[HTML][HTML] Emerging artificial intelligence–empowered mhealth: scoping review

P Bhatt, J Liu, Y Gong, J Wang, Y Guo - JMIR mHealth and uHealth, 2022 - mhealth.jmir.org
Background Artificial intelligence (AI) has revolutionized health care delivery in recent years.
There is an increase in research for advanced AI techniques, such as deep learning, to build …

ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling

SK Yadav, A Luthra, K Tiwari, HM Pandey… - Knowledge-Based …, 2022 - Elsevier
This paper presents an efficient activity recognition and fall detection system (ARFDNet).
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …

Developing smart buildings to reduce indoor risks for safety and health of the elderly: A systematic and bibliometric analysis

F Zhang, APC Chan, D Li - Safety science, 2023 - Elsevier
As aging problem gets severe, more elderly people require better residences to support their
later lives. Considering complicated safety and health risks the elderly would encounter …

Artificial intelligence-enabled digital transformation in elderly healthcare field: scoping review

CH Lee, C Wang, X Fan, F Li, CH Chen - Advanced Engineering …, 2023 - Elsevier
As the ageing population grows continuously, traditional healthcare providers are
experiencing difficulty in keeping up with changing and unpredictable demands as well as …

Trailblazing the artificial intelligence for cybersecurity discipline: A multi-disciplinary research roadmap

S Samtani, M Kantarcioglu, H Chen - ACM Transactions on …, 2020 - dl.acm.org
Cybersecurity has rapidly emerged as a grand societal challenge of the 21st century.
Innovative solutions to proactively tackle emerging cybersecurity challenges are essential to …

Proactively identifying emerging hacker threats from the dark web: A diachronic graph embedding framework (d-gef)

S Samtani, H Zhu, H Chen - ACM Transactions on Privacy and Security …, 2020 - dl.acm.org
Cybersecurity experts have appraised the total global cost of malicious hacking activities to
be $450 billion annually. Cyber Threat Intelligence (CTI) has emerged as a viable approach …

Why do family members reject AI in health care? Competing effects of emotions

EH Park, K Werder, L Cao… - Journal of Management …, 2022 - Taylor & Francis
Artificial intelligence (AI) enables continuous monitoring of patients' health, thus improving
the quality of their health care. However, prior studies suggest that individuals resist such …

LINKING EXPLOITS FROM THE DARK WEB TO KNOWN VULNERABILITIES FOR PROACTIVE CYBER THREAT INTELLIGENCE: AN ATTENTION-BASED DEEP …

S Samtani, Y Chai, H Chen - MIS quarterly, 2022 - par.nsf.gov
Black hat hackers use malicious exploits to circumvent security controls and take advantage
of system vulnerabilities worldwide, costing the global economy over $450 billion annually …

CREATING PROACTIVE CYBER THREAT INTELLIGENCE WITH HACKER EXPLOIT LABELS: A DEEP TRANSFER LEARNING APPROACH.

BM Ampel, S Samtani, H Zhu, H Chen - MIS Quarterly, 2024 - search.ebscohost.com
The rapid proliferation of complex information systems has been met by an ever-increasing
quantity of exploits that can cause irreparable cyber breaches. To mitigate these cyber …