Abstract The introduction of Big Data Analytics (BDA) in healthcare will allow to use new
technologies both in treatment of patients and health management. The paper aims at …

The development of high-throughput, data-intensive biomedical research assays and
technologies has created a need for researchers to develop strategies for analyzing …

Purpose The purpose of this study was to conduct an external validation of a fracture
assessment deep learning algorithm (Rayvolve®) using digital radiographs from a real-life …

Chronic obstructive pulmonary disease (COPD) can be prevented and treated through
effective care, reducing exacerbations and hospitalizations. Early identification of individuals …

Being a 21st-century health care provider is extremely demanding. The growing number of
chronic diseases, lack of medical workforce, increasing amounts of administrative tasks, the …

Deep learning has recently gained high interest in ophthalmology due to its ability to detect
clinically significant features for diagnosis and prognosis. Despite these significant …

The increasingly sophisticated and rapidly evolving application of artificial intelligence in
medicine is transforming how health care is delivered, highlighting a need for current and …

The number of doctor–patient conflicts and disputes in China has been increasing recently.
In order to solve the current social problems of the tense doctor–patient relationship and …

Although breast cancer (BC) deaths have decreased over time, it remains the second
leading cause of cancer-related deaths among women. With the technical advancement of …

In den letzten Jahren gab es verschiedenste Ansätze zur Weiterentwicklung von Städten
und Gemeinden mittels digitaler Angebote und digitalisierter Infrastrukturen. Egal, ob es …