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Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder impacting women's health and quality of life. This scoping review explores the use of the Internet of Things (IoT) in PCOS management. Results were grouped into six domains of the IoT: mobile apps, social media, wearables, machine learning, websites, and phone-based. A further domain was created to capture participants' perspectives on using the IoT in PCOS management. Mobile apps appear to be useful for menstrual cycle tracking, symptom recording, and education. Despite concerns regarding the quality and reliability of social media content, these platforms may play an important role in disseminating PCOS-related information. Wearables facilitate detailed symptom monitoring and improve communication with healthcare providers. Machine learning algorithms show promising results in PCOS diagnosis accuracy, risk prediction, and app development. Although abundant, PCOS-related content on websites may lack quality and cultural considerations. While patients express concerns about online misinformation, they consider online forums valuable for peer connection. Using text messages and phone calls to provide feedback and support to PCOS patients may help them improve lifestyle behaviors and self-management skills. Advancing evidence-based, culturally sensitive, and accessible IoT solutions can enhance their potential to transform PCOS care, address misinformation, and empower women to better manage their symptoms. [ABSTRACT FROM AUTHOR]

The article presents developments on acupuncture practice-based research in the age of artificial intelligence (AI). It introduces projects that illustrate the possibilities for a structured approach to collecting practice data, including a mixed-model for integrating qualitative and quantitative analyses from real-world date sets, the Acuaware study on electronic health record, surveys on common outcome measures in traditional Chinese medicine, and inpatient acupuncture quorum sensing.

The article presents the discussion on integration of artificial intelligence (AI) in the field of medicine will bring about a profound transformation. Topics include hold the potential to revolutionize how medical professionals approach patient care, from early detection and proactive preventive measures; and brings with it a reevaluation of the roles and responsibilities within the health care system.

The article reviews the progress and trends in acupuncture research and engagement in 2022, focusing on key publications and developments. It discusses the growth of research on acupuncture's clinical impacts and underlying mechanisms. It also emphasizes the role of clinical practice guidelines, challenges in acupuncture research methodology, and the need for expert involvement in guideline panels to address gaps in knowledge and improve recommendations.