Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions

P Kumar, S Chauhan, LK Awasthi - Engineering Applications of Artificial …, 2023 - Elsevier
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 …

Artificial intelligence and machine learning for medical imaging: A technology review

A Barragán-Montero, U Javaid, G Valdés, D Nguyen… - Physica Medica, 2021 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Artificial intelligence for clinical oncology

BH Kann, A Hosny, HJWL Aerts - Cancer Cell, 2021 - cell.com
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 …

Image segmentation techniques: statistical, comprehensive, semi-automated analysis and an application perspective analysis of mathematical expressions

Sakshi, V Kukreja - Archives of computational Methods in Engineering, 2023 - Springer
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 …

Artificial intelligence, bias and clinical safety

R Challen, J Denny, M Pitt, L Gompels… - BMJ quality & …, 2019 - qualitysafety.bmj.com
In medicine, artificial intelligence (AI) research is becoming increasingly focused on
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

L Vandewinckele, M Claessens, A Dinkla… - Radiotherapy and …, 2020 - Elsevier
Artificial Intelligence (AI) is currently being introduced into different domains, including
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

LA Celi, J Cellini, ML Charpignon, EC Dee… - PLOS Digital …, 2022 - journals.plos.org
Background While artificial intelligence (AI) offers possibilities of advanced clinical
prediction and decision-making in healthcare, models trained on relatively homogeneous …

Scopus scientific map** production in industry 4.0 (2011–2018): a bibliometric analysis

LM Kipper, LB Furstenau, D Hoppe… - … Journal of Production …, 2020 - Taylor & Francis
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 …