[HTML][HTML] Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction

M Mirbabaie, S Stieglitz, NRJ Frick - Health and Technology, 2021 - Springer
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …

Applications of artificial intelligence in nursing care: a systematic review

A Martinez-Ortigosa… - Journal of Nursing …, 2023 - Wiley Online Library
Aim. To synthesise the available evidence on the applicability of artificial intelligence in
nursing care. Background. Artificial intelligence involves the replication of human cognitive …

Limited Benefits of Technological Advances in Human Service Organizations: Going beyond the Hype Using Sociotechnical Knowledge Management System

K Jang, NG Landuyt - Journal of Social Service Research, 2023 - Taylor & Francis
This study investigates the issue of underwhelming effectiveness in Information
Communication Technology (ICT) by employing a sociotechnical knowledge management …

[HTML][HTML] Perspective of artificial intelligence in disease diagnosis: a review of current and future endeavours in the medical field

VR Umapathy, RDS Raj, S Yadav, SA Munavarah… - Cureus, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has demonstrated significant promise for the present and future
diagnosis of diseases. At the moment, AI-powered diagnostic technologies can help …

Security and Privacy of Wearable Wireless Sensors in Healthcare: A Systematic Review

R Kaur, S Shahrestani, C Ruan - Computer Networks and …, 2024 - ojs.wiserpub.com
Abstract Wearable Wireless Sensor Network (WWSN) devices are widely used in healthcare
to monitor health data. However, when WWSN users transmit their data to healthcare …

Accurate and explainable retinal disease recognition via DCNFIS

M Yeganejou, M Keshmiri, S Dick - North American Fuzzy Information …, 2023 - Springer
The accuracy-interpretability tradeoff is a significant challenge for Explainable AI systems; if
too much accuracy is lost, an explainable system might be of no actual value. We report on …

A New Multi-Layer Machine Learning (MLML) Architecture for Non-invasive Skin Cancer Diagnosis on Dermoscopic Images

MF Keskenler, E Çelik, D Dal - Journal of Electrical Engineering & …, 2024 - Springer
Artificial intelligence (AI) has significantly impacted the healthcare industry, enabling the
development of advanced medical devices and software that provide efficient and precise …

[图书][B] Fuzzy Information Processing 2023

K Cohen, N Ernest, B Bede, V Kreinovich - 2023 - Springer
The series “Lecture Notes in Networks and Systems” publishes the latest developments in
Networks and Systems—quickly, informally and with high quality. Original research reported …

Pathway Supporting Health Information Systems: Interdisciplinary Goal Integration-A Review

T Scheplitz - Innovation Through Information Systems: Volume I: A …, 2021 - Springer
Care pathways and implementing information systems increasingly permeate the discipline
of Health Information Systems Research (HISR). It explores the conception, modelling …

[PDF][PDF] Towards the Design of a Mobile Application to Support Decentralized Healthcare in Developing Countries-The Case of Diabetes Care in eSwatini.

S Lichtenberg, M Greve, AB Brendel, LM Kolbe - AMCIS, 2019 - researchgate.net
This study addresses the issue of decentralized healthcare in developing countries (eg in
eSwatini). The country employs community health workers (CHW) to provide health care to …