… in healthcare … the slow adoption rate of artificial intelligence in the healthcare sector. The
research also aims at providing a thorough understanding of challenges that prevent healthcare …

… on AI adoption has been done in this paper. Articles were taken from Science Direct and
Google scholar using the descriptors “Artificial Intelligence adoption”/“AI adoption”/“AI adoption …

… of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare
… This is set to make a paradigm shift in the level of AI technology and its adoption and impact …

… machine learning (ML), reinforcement learning, and deep learning, are particularly well-suited
to deal with both the data type and looming questions in healthcare… adopted in healthcare …

… Adopting actionable predictive models will require the … to address variations in health care
settings and must comply with an … and health care providers can leverage artificial intelligence …

… Artificial Intelligence (AI) technologies within the healthcare sector is growing. However,
there are differences in the speed of commercial adoption … of all S&P500 Health Care Index …

… It is important to see the adoption of AI systems in healthcare as a dynamic learning
experience at all levels, calling for a more sophisticated systems thinking approach in the health …

The hype over artificial intelligence (AI) has spawned claims that clinicians (particularly
radiologists) will become redundant. It is still moot as to whether AI will replace radiologists in day…

… Artificial intelligence (AI) is gaining high visibility in the realm of health care innovation.
Broadly defined, AI is a field of computer science that aims to mimic human intelligence with …

… In addition, the strength of the modeling tool and the artificial intelligence method may
play a role in overcoming the issue of the common method of electronic medical record …