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 …

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

The rapid advancement of deep neural networks (DNNs) has significantly transformed
various sectors, demonstrating unparalleled proficiency in managing intricate tasks in …

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

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

Global attention is now being paid to maternal and child mortality. The incidence of maternal
mortality is high in low and middle-income countries, particularly among adolescents and …

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

Heart illnesses are among the most significant contributors to mortality in the world in the
modern era. Heart attacks are responsible for the death of one person every 33 seconds …

BACKGROUND: The ejection fraction (EF) provides critical information about heart failure
(HF) and its management. Electrocardiography (ECG) is a noninvasive screening tool for …

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 …