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Abstract

Artificial intelligence (AI) is the simulation of human
intelligence in machines that are programmed to
think and learn like humans. AI has the potential to
revolutionise the way that healthcare professionals
diagnose, treat, and manage conditions affecting all
organs including the female reproductive system. AI
has been applied to the field of medicine for several
decades. One of the earliest examples of AI was the
development of computer-aided diagnostic systems
for ultrasound images in the 1970s and 1980s.
These systems were designed to assist radiologists in
identifying fetal anomalies and other conditions. In
recent years, there has been a renewed interest in the
use of AI in obstetrics and gynaecology, driven by
advances in machine learning (ML) and the availability
of large amounts of data. One of the primary areas in
which AI and ML are being used in obstetrics and
gynaecology is in the analysis of imaging data, such
as ultrasound and magnetic resonance imaging. AI
algorithms can be trained to automatically identify
and classify different structures in the images, such as
the placenta or fetal organs, with high accuracy.
Artificial intelligence (AI) is a type of digital computer
system that parallels the way the human brain
processes information. AI is organised in a similar
way that neurons in the brain are arranged, with their
multiple neural nodes, and so are referred to as neural
networks. These networks attain the most probable outcomes as the neurons are associated with numerous
synapses that aid in transferring the data among the
neurons back and forth.1 Assembling these manifold
connections helps the computers imitate cognitive
functions such as finding the appropriate solution to
a problem, reasoning, etc. This complex algorithm
AI software is being utilized in medicine to analyse
large amounts of data, which can assist in disease
prevention, diagnosing, and monitoring patients.

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