Title: Reducing Early-Infant Mortality: A Review of Advances in Diagnosis, Clinical Management and Artificial Intelligence-Driven Technologies
Authors: Charity S. Odeyemi
Volume: 10
Issue: 5
Pages: 200-211
Publication Date: 2026/05/28
Abstract:
Neonatal diseases which are the diseases experienced at early infancy remain the leading cause infant mortality globally. The ability of a baby to survive the infant phase depends to a large extent on his chance of survival of the first 28 days of life. The main cause of high mortality of these early infants has been found to as a result of error in diagnosis. In spite of several techniques being employed by clinicians there is still a need to seek a timely and accurate method to aid the diagnosis of neonatal ailments. This paper conducted a structured review of the trends and milestones in newborn health management. Studies were made on the practices in the early days of neonatology, the currently available methods of mitigating the rate of neonatal mortalities and morbidities were also described. The adoption of some promising solutions and technologies such as machine learning, artificial intelligence (AI) and internet of things (IoT) for the detection of neonatal diseases more accurately in the future was also reviewed. The study presented a pathway of improvement on the conventional techniques to more efficient advanced technologies for newborns survival.