… of artificial intelligence (AI) and machine learning into clinical radiology … The analysis presents
an overview of the current medical … AI currently exists outside the bounds of our healthcare …

… In the field of tele-cEEG monitoring, we observe that the cumulative clinical experience of
healthcare teams and the scientific research mentioned above suggest an adaptation of …

… implementation into clinical practice. It is crucial to understand how AI can be a potential
benefit as a resource for medical information used by patients and healthcare providers alike, …

… The integration of intelligent technology into healthcare, which can be called digital healthcare,
has brought significant advancements in medical technology, such as clinical disease-…

… Artificial Intelligence in supportive capacities helping them in diagnosing patients; and doctors
do not believe Artificial Intelligence … adoption of Artificial Intelligence in the medical field. …

… , the intersection of technology and medicine also involves the use of computers, data analytics,
and artificial intelligence to process medical … greater access to healthcare, especially in …

… Artificial intelligence (AI) refers to the ability of computers to perform tasks normally reserved
for human intelligence… limitations of the application of AI in clinical practice. The relevance of …

… From improving diagnostic accuracy in medical imaging to optimizing healthcare operations
… Biomedical Engineering and Artificial Intelligence (AI) on healthcare delivery. Through a …

… Artificial Intelligence (AI) and Big Data within the healthcare sector. By leveraging these
technologies, medical … of medical resources, marking a significant step forward in the evolution of …