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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 …
Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
Privacy and artificial intelligence: challenges for protecting health information in a new era
B Murdoch - BMC medical ethics, 2021 - Springer
Background Advances in healthcare artificial intelligence (AI) are occurring rapidly and there
is a growing discussion about managing its development. Many AI technologies end up …
is a growing discussion about managing its development. Many AI technologies end up …
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
P Esmaeilzadeh - Artificial Intelligence in Medicine, 2024 - Elsevier
Healthcare organizations have realized that Artificial intelligence (AI) can provide a
competitive edge through personalized patient experiences, improved patient outcomes …
competitive edge through personalized patient experiences, improved patient outcomes …
[HTML][HTML] Artificial intelligence for clinical oncology
Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer
care. With recent advances in the field of artificial intelligence (AI), there is now a …
care. With recent advances in the field of artificial intelligence (AI), there is now a …
Image segmentation techniques: statistical, comprehensive, semi-automated analysis and an application perspective analysis of mathematical expressions
Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …
image segmentation and its associated techniques have supported computer vision, pattern …
Artificial intelligence, bias and clinical safety
In medicine, artificial intelligence (AI) research is becoming increasingly focused on
applying machine learning (ML) techniques to complex problems, and so allowing …
applying machine learning (ML) techniques to complex problems, and so allowing …
[HTML][HTML] Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance
Artificial Intelligence (AI) is currently being introduced into different domains, including
medicine. Specifically in radiation oncology, machine learning models allow automation and …
medicine. Specifically in radiation oncology, machine learning models allow automation and …
[HTML][HTML] Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
Background While artificial intelligence (AI) offers possibilities of advanced clinical
prediction and decision-making in healthcare, models trained on relatively homogeneous …
prediction and decision-making in healthcare, models trained on relatively homogeneous …
Scopus scientific map** production in industry 4.0 (2011–2018): a bibliometric analysis
Research in industry 4.0 is growing, driven by the innovations in production systems on a
continuous basis. In this study, we identified the evolution of themes inherent in the industry …
continuous basis. In this study, we identified the evolution of themes inherent in the industry …