KB Johnson, WQ Wei, D Weeraratne… - Clinical and …, 2021 - Wiley Online Library
The convergence of artificial intelligence (AI) and precision medicine promises to revolutionize health care. Precision medicine methods identify phenotypes of patients with …
JP Richardson, C Smith, S Curtis, S Watson, X Zhu… - NPJ digital …, 2021 - nature.com
While there is significant enthusiasm in the medical community about the use of artificial intelligence (AI) technologies in healthcare, few research studies have sought to assess …
Background As the information age wanes, enabling the prevalence of the artificial intelligence age; expectations, responsibilities, and job definitions need to be redefined for …
The recent advancements in machine learning and artificial intelligence (particularly foundation models such as BERT, GPT-3, T5, ResNet, etc.) have demonstrated remarkable …
H von Gerich, H Moen, LJ Block, CH Chu… - International journal of …, 2022 - Elsevier
Background Research on technologies based on artificial intelligence in healthcare has increased during the last decade, with applications showing great potential in assisting and …
DS Char, MD Abràmoff, C Feudtner - The American Journal of …, 2020 - Taylor & Francis
Along with potential benefits to healthcare delivery, machine learning healthcare applications (ML-HCAs) raise a number of ethical concerns. Ethical evaluations of ML-HCAs …
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 …
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology, radiology, and dermatology. However, the use of AI in mental health care and …