Artificial Intelligence (AI) is revolutionizing healthcare, offering new opportunities for early disease detection, personalized treatments, and continuous patient monitoring.
In women’s health, AI-based technologies are driving significant changes in areas such as breast cancer screening, fertility tracking, and hormonal management, helping reduce diagnostic delays and improve outcomes.
Healthcare professionals use AI to analyze large volumes of clinical data, from mammograms to wearable sensors that measure hormones, assisting in the identification of subtle signs that may escape the human eye. These tools do not replace doctors but enhance accuracy and reduce errors.
Medication Monitoring and Safety
One area where AI’s role becomes crucial is in monitoring and managing long-term side effects related to medication. In the past, concerns about hormone-based treatments have often surfaced after years of patient complaints.
For example, injectable contraceptives like Depo-Provera have been widely used, but there have been growing concerns about their possible long-term effects. This has resulted in some lawsuits from patients who say they weren’t properly warned about the risks.
Scientific studies have linked regular Depo Provera for over a year to brain tumors. Victims who were not informed are filing lawsuits that are now being consolidated into multidistrict litigation (MDL). According to https://www.torhoermanlaw.com/depo-provera-lawsuit/, there are around 806 pending cases in this MDL as of September 2025.
TorHoerman Law notes that attorneys can help victims by representing them throughout the legal process. These legal cases have drawn attention to the importance of patient education, transparent risk communication, and the need for better post-market surveillance of medications.
As technology advances, AI could play a crucial role in identifying adverse trends earlier, long before they escalate to the point of a lawsuit. If AI tools can flag early signs of unusual side effects, future treatments could be adjusted sooner, avoiding long-term harm.
Advances in Diagnostic Imaging
Breast cancer remains one of the most common cancers among women. In Mozambique, it is the second most frequent, being lethal for half of the diagnosed women. Traditional methods like mammography have limitations, especially in dense breast tissue. AI tools analyze large image datasets, identifying subtle patterns and changes by comparing current exams with previous ones. Clinical trials show that these systems can match experienced radiologists and reduce recall rates, accelerating early detection.
Fertility and Reproductive Health
AI applications can predict ovulation and fertile periods accurately, helping those with irregular cycles or conditions such as Polycystic Ovary Syndrome (PCOS). Wearable sensors that monitor temperature, heart rate, and respiration feed AI models, creating detailed analyses that allow women to better understand and manage their reproductive health.
Personalized Treatment for Chronic Conditions
Conditions such as PCOS, endometriosis, and menopause benefit from more individualized care through AI, which processes large datasets to identify trends and treatment responses. For endometriosis, AI accelerates diagnosis by analyzing medical histories and symptom patterns. In menopause, it helps monitor symptoms and tailor hormonal, nutritional, or behavioral treatments to each woman’s needs.
Challenges and Outlook
Despite advances, AI faces challenges such as data privacy, algorithmic bias, and integration into healthcare systems. Tools should support, not replace, medical expertise. Additionally, startups are developing applications for populations with limited access, connecting patients to telemedicine services and self-assessment tools.
AI promises earlier interventions, personalized therapies, and significant improvements in women’s health, particularly when combined with technological innovation, legal accountability, and patient advocacy.
