Digital platforms, mobile apps and wearables designed specifically for women’s health and wellness (referred to as FemTech) have given women easy access to information and personalised care. This convenient approach has encouraged women to be proactive when it comes to managing their health at every stage of life, including fertility, pregnancy and menopause.
While the use of these tech-driven health solutions is not a new phenomenon, AI – now a part of our everyday reality – is making impactful advancements in women’s healthcare. Here are just a few of the ways we will benefit, according to industry specialists.
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More accurate and earlier diagnoses
With AI algorithms trained on large datasets, it can detect subtle patterns that humans might miss. Earlier diagnosis means that treatment can begin sooner and hopefully lead to less pain and better outcomes. For example, with breast cancer detection, AI-powered mammography tools can quickly scan a bank of images and identify any abnormalities with a high rate of accuracy.
Personalised reproductive health
When it comes to fertility and reproductive care, apps help women track ovulation cycles, predict fertile windows, and even analyse hormone levels. With AI, some platforms will go further and assess embryo viability in IVF treatments – this will improve success rates and lessen both emotional and financial strain.
Mental health and hormonal insights
During periods such as pregnancy, postpartum and menopause, women can experience mental health conditions, including anxiety and depression. AI-enabled platforms can keep track of patterns in mood, sleep and speech, and other behavioural actions to detect early signs of mental health changes. When combining this data with menstrual and hormonal tracking, AI tools will be able to offer prompt mental health support suited to each woman’s needs.
A decrease in maternal mortality
The rate of maternal mortality is still high in many parts of the globe. AI can be used to monitor high-risk pregnancies through wearable tech and remote patient monitoring. This will allow healthcare providers to identify issues such as preeclampsia before the situation becomes life-threatening. It also allows doctors to prioritise care through predictive analytics.
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