Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review

AM Antoniadi, Y Du, Y Guendouz, L Wei, C Mazo… - Applied Sciences, 2021 - mdpi.com
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …

Application of artificial intelligence in medicine: an overview

P Liu, L Lu, J Zhang, T Huo, S Liu, Z Ye - Current medical science, 2021 - Springer
Artificial intelligence (AI) is a new technical discipline that uses computer technology to
research and develop the theory, method, technique, and application system for the …

Advancing pharmacy and healthcare with virtual digital technologies

SJ Trenfield, A Awad, LE McCoubrey… - Advanced Drug Delivery …, 2022 - Elsevier
Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally.
From the different technologies, virtual tools including artificial intelligence, blockchain …

Role of machine learning assisted biosensors in point-of-care-testing for clinical decisions

M Bhaiyya, D Panigrahi, P Rewatkar, H Haick - ACS sensors, 2024 - ACS Publications
Point-of-Care-Testing (PoCT) has emerged as an essential component of modern
healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of …

Microfluidic platforms integrated with nano-sensors for point-of-care bioanalysis

H Tavakoli, S Mohammadi, X Li, G Fu, XJ Li - TrAC Trends in Analytical …, 2022 - Elsevier
Microfluidic technology provides a portable, cost-effective, and versatile tool for point-of-care
(POC) bioanalysis because of its associated advantages such as fast analysis, low volumes …

[HTML][HTML] The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?

SS Arya, SB Dias, HF Jelinek, LJ Hadjileontiadis… - Biosensors and …, 2023 - Elsevier
Advances in consumer electronics, alongside the fields of microfluidics and nanotechnology
have brought to the fore low-cost wearable/portable smart devices. Although numerous …

Enhancing the analytical performance of paper lateral flow assays: from chemistry to engineering

V Shirshahi, G Liu - TrAC Trends in Analytical Chemistry, 2021 - Elsevier
Paper based lateral flow assays (LFAs) have achieved grand success in point-of-care
diagnostics; nevertheless, they are still facing challenges. This review outlines current major …

Trustworthy artificial intelligence in medical imaging

N Hasani, MA Morris, A Rhamim, RM Summers… - PET …, 2022 - pmc.ncbi.nlm.nih.gov
Trust in artificial intelligence (AI) by society and the development of trustworthy AI systems
and ecosystems are critical for the progress and implementation of AI technology in …

Medical-informed machine learning: integrating prior knowledge into medical decision systems

C Sirocchi, A Bogliolo, S Montagna - BMC Medical Informatics and …, 2024 - Springer
Background Clinical medicine offers a promising arena for applying Machine Learning (ML)
models. However, despite numerous studies employing ML in medical data analysis, only a …

Algorithms for ethical decision-making in the clinic: A proof of concept

LJ Meier, A Hein, K Diepold, A Buyx - The American Journal of …, 2022 - Taylor & Francis
Abstract Machine intelligence already helps medical staff with a number of tasks. Ethical
decision-making, however, has not been handed over to computers. In this proof-of-concept …