Global efforts to improve women's health have focused significantly on improving sexual and reproductive health. However, the global spectrum of diseases has changed significantly in recent years. Today, in addition to women's sexual and reproductive health, cardiovascular diseases, cancers, respiratory diseases, hormonal and metabolic diseases, depression, anxiety, diabetes, depression, and skeletal disorders have also increased significantly. Therefore, allocating new resources to the prevention, management, and treatment of these diseases, and identifying treatment methods appropriate for the digital age have become crucial to improve women's health most effectively. These approaches can reduce women's disease burden and behavioral, biological, psychological, social, and cultural risk factors. In the past, most medical research was conducted on men, and the findings were assumed to be applicable to women, neglecting gender differences. However, as the number of women in research increases, clinical differences have been observed. At this point, the importance of women's health should not be overlooked, considering gender differences. Women, unlike men, face various health problems, including menstrual bleeding and fertility, from puberty to menopause. These problems also affect other hormonal, metabolic, and psychological balances. Traditional healthcare institutions, despite the complexity of health problems, fail to identify the root cause of the disease and overlook unique demands. This is where artificial intelligence comes into play in women's health today, providing a powerful method for identifying symptoms. Artificial intelligence applications have the potential to prevent, detect, and treat diseases in women's health. These applications significantly contribute to improving women's health by accelerating access to information and making healthcare more personalized. With its ability to make predictions from datasets, AI is developing innovative solutions in various areas of women's health.