The role of artificial neural network and machine learning in utilizing spatial information
In this age of the fourth industrial revolution 4.0, the digital world has a plethora of data,
including the internet of things, mobile, cybersecurity, social media, forecasts, health data …
including the internet of things, mobile, cybersecurity, social media, forecasts, health data …
Artificial intelligence in medicine: A comprehensive survey of medical doctor's perspectives in Portugal
AR Pedro, MB Dias, L Laranjo, AS Cunha, JV Cordeiro - Plos one, 2023 - journals.plos.org
Artificial Intelligence (AI) is increasingly influential across various sectors, including
healthcare, with the potential to revolutionize clinical practice. However, risks associated …
healthcare, with the potential to revolutionize clinical practice. However, risks associated …
[HTML][HTML] Machine learning in orthopaedic surgery
Artificial intelligence and machine learning in orthopaedic surgery has gained mass interest
over the last decade or so. In prior studies, researchers have demonstrated that machine …
over the last decade or so. In prior studies, researchers have demonstrated that machine …
[HTML][HTML] Managing disruptive technologies for innovative healthcare solutions: the role of high-involvement work systems and technologically-mediated relational …
In this research, we present a model of innovative healthcare solutions as an interactive
outcome of high-involvement work systems and technologically-mediated relational …
outcome of high-involvement work systems and technologically-mediated relational …
[HTML][HTML] Teaching AI ethics in medical education: a sco** review of current literature and practices
L Weidener, M Fischer - Perspectives on medical education, 2023 - ncbi.nlm.nih.gov
Methods: The PRISMA-SCR guidelines and JBI methodology guided a literature search in
four databases (PubMed, Embase, Scopus, and Web of Science) for the past 22 years (2000 …
four databases (PubMed, Embase, Scopus, and Web of Science) for the past 22 years (2000 …
The enlightening role of explainable artificial intelligence in chronic wound classification
Artificial Intelligence (AI) has been among the most emerging research and industrial
application fields, especially in the healthcare domain, but operated as a black-box model …
application fields, especially in the healthcare domain, but operated as a black-box model …
[HTML][HTML] Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis
Objective: Ovarian cancer is a significant health issue with lasting impacts on the community.
Despite recent advances in surgical, chemotherapeutic and radiotherapeutic interventions …
Despite recent advances in surgical, chemotherapeutic and radiotherapeutic interventions …
Effects of artificial intelligence implementation on efficiency in medical imaging—a systematic literature review and meta-analysis
K Wenderott, J Krups, F Zaruchas, M Weigl - NPJ Digital Medicine, 2024 - nature.com
In healthcare, integration of artificial intelligence (AI) holds strong promise for facilitating
clinicians' work, especially in clinical imaging. We aimed to assess the impact of AI …
clinicians' work, especially in clinical imaging. We aimed to assess the impact of AI …
Dynamic coati optimization algorithm for biomedical classification tasks
Medical datasets are primarily made up of numerous pointless and redundant elements in a
collection of patient records. None of these characteristics are necessary for a medical …
collection of patient records. None of these characteristics are necessary for a medical …
A justifiable investment in AI for healthcare: aligning ambition with reality
Healthcare systems are grappling with critical challenges, including chronic diseases in
aging populations, unprecedented health care staffing shortages and turnover, scarce …
aging populations, unprecedented health care staffing shortages and turnover, scarce …