Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …
future potential for transforming almost all aspects of medicine. However, in many …
Application of artificial intelligence in medicine: an overview
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 …
research and develop the theory, method, technique, and application system for the …
Advancing pharmacy and healthcare with virtual digital technologies
Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally.
From the different technologies, virtual tools including artificial intelligence, blockchain …
From the different technologies, virtual tools including artificial intelligence, blockchain …
Role of machine learning assisted biosensors in point-of-care-testing for clinical decisions
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 …
healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of …
Microfluidic platforms integrated with nano-sensors for point-of-care bioanalysis
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 …
(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?
Advances in consumer electronics, alongside the fields of microfluidics and nanotechnology
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
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
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 …
diagnostics; nevertheless, they are still facing challenges. This review outlines current major …
Trustworthy artificial intelligence in medical imaging
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 …
and ecosystems are critical for the progress and implementation of AI technology in …
Medical-informed machine learning: integrating prior knowledge into medical decision systems
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 …
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
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 …
decision-making, however, has not been handed over to computers. In this proof-of-concept …