[HTML][HTML] Intelligent systems in healthcare: A systematic survey of explainable user interfaces
With radiology shortages affecting over half of the global population, the potential of artificial
intelligence to revolutionize medical diagnosis and treatment is ever more important …
intelligence to revolutionize medical diagnosis and treatment is ever more important …
Building digital patient pathways for the management and treatment of multiple sclerosis
J Wenk, I Voigt, H Inojosa, H Schlieter… - Frontiers in …, 2024 - frontiersin.org
Recent advances in the field of artificial intelligence (AI) could yield new insights into the
potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI …
potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI …
Advancing fake news detection: hybrid deep learning with fasttext and explainable AI
The widespread propagation of misinformation on social media platforms poses a significant
concern, prompting substantial endeavors within the research community to develop robust …
concern, prompting substantial endeavors within the research community to develop robust …
Explainable Deep Learning Approach for Mpox Skin Lesion Detection with Grad-CAM
Mpox is a viral zoonotic disease that presents with skin lesions similar to other conditions
like chickenpox, measles, and hand-foot-mouth disease, making accurate diagnosis …
like chickenpox, measles, and hand-foot-mouth disease, making accurate diagnosis …
Substitution or creation? Identifying the role of artificial intelligence in employment
Recognising the significant role of artificial intelligence in the labour market is essential for
China to develop sustainably. The research utilises the mixed frequency vector auto …
China to develop sustainably. The research utilises the mixed frequency vector auto …
[HTML][HTML] Artificial intelligence in healthcare delivery: Prospects and pitfalls
This review provides a comprehensive examination of the integration of Artificial Intelligence
(AI) into healthcare, focusing on its transformative implications and challenges. Utilising a …
(AI) into healthcare, focusing on its transformative implications and challenges. Utilising a …
Exploratory and Interpretable Approach to Estimating Latent Health Risk Factors Without Using Domain Knowledge
R Cong, S Nishimura, A Ogihara… - Big Data Mining and …, 2025 - ieeexplore.ieee.org
The identification of latent risk factors that can induce to health risks or an abnormal status is
an important task in healthcare data analyses. In recent years, health analyses based on …
an important task in healthcare data analyses. In recent years, health analyses based on …
Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges
Artificial intelligence (AI) and machine learning (ML) are revolutionizing human activities in
various fields, with medicine and infectious diseases being not exempt from their rapid and …
various fields, with medicine and infectious diseases being not exempt from their rapid and …
Ethical Considerations in the Use of Artificial Intelligence in Pain Medicine
Although the integration of artificial intelligence (AI) into medicine and healthcare holds
transformative potential, significant challenges must be necessarily addressed. This …
transformative potential, significant challenges must be necessarily addressed. This …
Explainable and interpretable machine learning for antimicrobial stewardship: opportunities and challenges
There is growing interest in exploiting the advances in artificial intelligence and machine
learning (ML) for improving and monitoring antimicrobial prescriptions in line with …
learning (ML) for improving and monitoring antimicrobial prescriptions in line with …