Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
Applications of explainable artificial intelligence in diagnosis and surgery
In recent years, artificial intelligence (AI) has shown great promise in medicine. However,
explainability issues make AI applications in clinical usages difficult. Some research has …
explainability issues make AI applications in clinical usages difficult. Some research has …
From promise to practice: towards the realisation of AI-informed mental health care
In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …
based precision medicine tools in mental health care from clinical, ethical, and regulatory …
Artificial intelligence in cancer research, diagnosis and therapy
Artificial intelligence and machine learning techniques are breaking into biomedical
research and health care, which importantly includes cancer research and oncology, where …
research and health care, which importantly includes cancer research and oncology, where …
A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
[HTML][HTML] Human-centered design to address biases in artificial intelligence
The potential of artificial intelligence (AI) to reduce health care disparities and inequities is
recognized, but it can also exacerbate these issues if not implemented in an equitable …
recognized, but it can also exacerbate these issues if not implemented in an equitable …
The role of AI for developing digital twins in healthcare: The case of cancer care
Digital twins, succinctly described as the digital representation of a physical object, is a
concept that has emerged relatively recently with increasing application in the …
concept that has emerged relatively recently with increasing application in the …
[HTML][HTML] Explainable, trustworthy, and ethical machine learning for healthcare: A survey
With the advent of machine learning (ML) and deep learning (DL) empowered applications
for critical applications like healthcare, the questions about liability, trust, and interpretability …
for critical applications like healthcare, the questions about liability, trust, and interpretability …
A survey of artificial intelligence challenges: Analyzing the definitions, relationships, and evolutions
In recent years, artificial intelligence has had a tremendous impact on every field, and
several definitions of its different types have been provided. In the literature, most articles …
several definitions of its different types have been provided. In the literature, most articles …
A survey on medical explainable AI (XAI): recent progress, explainability approach, human interaction and scoring system
RK Sheu, MS Pardeshi - Sensors, 2022 - mdpi.com
The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of
utmost importance. Meanwhile, incorporating explanations in the medical domain with …
utmost importance. Meanwhile, incorporating explanations in the medical domain with …