Abstract Machine learning technologies and translation of artificial intelligence tools to
enhance the patient experience are changing obstetric and maternity care. An increasing …

In the undertaken study, we have used a customized dataset termed “Cardiac-200” and the
benchmark dataset “PhysioNet.” which contains 1500 heartbeat acoustic event samples …

Intrauterine fetal demise in women during pregnancy is a major contributing factor in
prenatal mortality and is a major global issue in develo** and underdeveloped countries …

Maternal mortality is a major public health concern worldwide. It is the number of
preventable deaths that occur each year due to pregnancy and childbirth. The research …

Pregnancy complications significantly impact women and pose potential threats to the
develo** child's health. Early identification of these complications is imperative for life …

In the Internet of medical things, data from a single source can be easily analyzed. Besides,
it is paramount to collect data from multiple sources to provide consistent, accurate, and vital …

A number of neurologic diseases associated with expanded nucleotide repeats, including
an inherited form of amyotrophic lateral sclerosis, have an unconventional form of translation …

For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic
algorithms are routinely implemented in clinical practice. Artificial intelligence-based image …

The reduction of childhood mortality is an ongoing struggle and a commonly used factor in
determining progress in the medical field. The under-5 mortality number is around 5 million …

(1) Background: According to the World Health Organization (WHO), 6.3 million intrauterine
fetal deaths occur every year. The most common method of diagnosing perinatal death and …