Objective: Nowadays, smartphones are becoming an indispensable tool due to the popular use of useful applications (apps) that can be downloaded and installed to aid our everyday lives. The quantity of apps manifested as tools for mobile health (mHealth) is undoubtedly high. The mHealth apps are very popular and cover various and different aspects of health. The first app for women in menopause was presented in 2014. Since then, more apps have been developed. The aim of this study is to identify mHealth apps that address the menopause with a focused view on the degree of medical professional involvement and documented evidence base practice in their design, as well as, underline their potential role in raising awareness regarding health in the community. Methods: The official app stores by Google, Apple, Windows and Blackberry were chosen to pool the apps. The keywords used were ‘apps for menopause’, ‘women in menopause’ and ‘menopause’. Eligible apps were selected based on the target consumer, each app’s price, documentation of evidence base practice and documentation of medical professional involvement. Results: This search revealed 35 relevant apps, of which 10 were excluded as they were identified as duplicates available for download by more than one app store. Authors excluded also further three mHealth apps, since they were not written in English, and the assessment was difficult due to the language barrier. A total of 22 mHealth menopause apps were included in this study. Medical professional involvement was noted in 27.3% of the mHealth menopause apps, and 22.7% of the total apps used evidence-based information. The mHealth menopause apps were free of charge in 86.4%. Ninety-one percent of the apps were designed for the consumers, while only 9% of them were suitable for medical professionals. Conclusions: In conclusion, there is a need to improve the mHealth apps available for menopause, by including more medical staff in their development and by establishing clear regulation around the development and the context of an mHealth app.

Objective: This narrative review aims to identify alternative ways to improve the symptoms of primary dysmenorrhea (PD). Background: PD refers to endometrial painful cramps during the premenstrual period. This condition affects a lot of women worldwide and is accompanied with absenteeism and high economic costs, thus, risk-free, and effective therapeutic approaches are needed. Pharmacological agents such as non-steroidal anti-inflammatory drugs (NSAIDs) and oral contraceptive pills (OCPs), which are widely prescribed for these women, demonstrate adequate efficacy in alleviating pain and discomfort. The long natural course of the disease dictates remedies that focus on lifestyle changes and on improvement of Quality-of-Life (QoL) for women suffering with PD. Materials and Methods: Five major search engines, namely MEDLINE, PubMed, EMBASE, and Cochrane Library were searched for articles published prior to October 2020 focused in PD. A total of 74 paper were included. Discussion: Physical activity, for instance yoga, aromatherapy massage, and other forms of relaxation, vitamins and dietary changes, acupressure and acupuncture,a and some psychological interventions are just few of the proposed health behavior targeted approaches in cases of PD. This review focuses on lifestyle changes and alternative methods that could potentially result in minimizing symptoms of PD and in improving overall QoL for these patients, by providing current scientific evidence on their efficacy. Conclusion: Complementary and alternative medicine practices (CAM) are widely accepted by women. International literature provides controversial scientific evidence, thus further studies need to be conducted in order to prove or disregard their efficacy in cases of PD.

Artificial Intelligence (AI) has emerged as a transformative force in healthcare, with its integration into assisted reproduction technologies representing a notable milestone. The utilization of AI in assisted reproduction is rooted in the persistent challenge of optimizing outcomes. Despite years of progress, success rates in assisted reproductive techniques remain a concern. The current landscape of AI applications demonstrates significant potential to revolutionize various facets of assisted reproduction, including stimulation protocol optimization, embryo formation prediction, oocyte and sperm selection, and live birth prediction from embryos. AI's capacity for precise image-based analysis, leveraging convolutional neural networks, stands out as a promising avenue. Personalized treatment plans and enhanced diagnostic accuracy are central themes explored in this review. AI-driven healthcare products demonstrate the potential for real-time, adaptive health programs, fostering improved communication between patients and healthcare teams. Continuous learning systems to address challenges associated with biased training data and the time required for accurate decision-making capabilities to develop is imperative. Challenges and ethical considerations in AI-assisted conception as evident when taking into consideration issues such as the lack of legislation regulating AI in healthcare, a fact that emphasizes the need for transparency and equity in the development and implementation of AI technologies. The regulatory framework, both in the UK and globally, is making efforts to balance innovation with patient safety. This paper delves into the revolutionary impact of Artificial Intelligence (AI) in the realm of assisted reproduction technologies (ART). As AI continues to evolve, its application in the field of reproductive medicine holds great promise for improving success rates, personalized treatments, and overall efficiency. This comprehensive review explores the current state of AI in assisted reproduction, its potential benefits, challenges, and ethical considerations.

Background: Ovarian teratomas are the most common type of ovarian mass during childhood and adolescence. There is no clear guidance for the management of the ovarian teratomas in children and adolescents. It is necessary, however, to understand the feature of these tumours and the indications for operating on them, and to put subjective criteria for the management in elective or emergency presentations. Methods: Medical records of patients between the age of 12 and 20 years old that underwent surgery for ovarian teratomas at the Department of Obstetrics and Gynaecology in University Hospital of Ioannina, between January 2000 and August 2022, were reviewed. A medical database was searched between January 2000 and August 2022 with the following keywords: ovarian teratoma, paediatrics and adolescents. Results: We present the results of forty patients, with a mean age of 11.8 years of age. All patients had surgery, where three out of four underwent oophorectomy and only one out of four underwent ovary-sparing operation; similar results were found in the literature. Conclusion: Ovary-sparing treatment is more common recently compared with the past, such as MIS compared with laparotomy. Better-organised and -planned prospective multi-centre studies are necessary to gain a deeper knowledge of the physiology and prognostic factors of teratomas in children.