The convergence of Blockchain technology and Artificial Intelligence (AI) is exerting a
transformative influence, ushering in a new epoch of security and transparency within the …

Historical patients' medical data has an important impact on the healthcare industry for
providing the best care to patients through intelligent health diagnosis and prediction of …

The digitization of health data practices is simplifying the management of patient and
administrative information, addressing challenges, and optimizing care delivery. Healthcare …

People suffering from chronic diseases require continuous support in monitoring their
nutrition, diagnostic tests, medication, and daily activity tracking. Given the low ratio of …

Traditional medical prescriptions based on physical paper-based documents are prone to
manipulation, errors, and unauthorized reproduction due to their format. Addressing the …

Artificial intelligence (AI) and deep learning techniques have gained significant attraction in
recent years, owing to their remarkable capability of achieving high performance across a …

Medical healthcare centers are envisioned as a promising paradigm to handle vast data for
various disease diagnoses using artificial intelligence. Traditional Machine Learning …

Distributed machine learning in healthcare has great potential in training models to learn
from the patients' data distributed across different medical institutions. Recently, there has …

Several recent research papers in the Internet of Medical Things (IoMT) domain employ
machine learning techniques to detect data patterns and trends, identify anomalies, predict …

In the rapidly evolving landscape of digital healthcare, the integration of cloud computing,
Internet of Things (IoT), and advanced computational methodologies such as machine …