UCC Student Medical Journal Vol. 4 (2024)
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Item UCC Student Medical Journal 4th Edition(UCC Medical Research and Technology Society) Cronin, Padraig; Mehta, ShobhaItem Enter Modius: Neurovalens's innovative new solution to insomnia(UCC Medical Research and Technology Society) Iskander, AndrewItem The use of Artificial Intelligence in clinical diagnostics: Challenges to consider for implementation(UCC Medical Research and Technology Society, 2024) Cronin, PadraigWhilst many technological advancements have revolutionised healthcare throughout the 21st century, one of the most significant is Artificial Intelligence (AI). AI is generally regarded as the capability to imitate intelligent human behaviour using machines, and is based on computer science, statistics, algorithms, machine learning, information retrieval, and data science1. AI has permeated into many domains of healthcare including Clinical Diagnostics. While AI chatbots (such as those used in Babylon and Ada) are being used by patients to identify symptoms and recommend further actions in community and primary care settings, more recent advances in the technology with larger datasets have provided users access to a more extensive array of clinical conditions2. However, as these tools are constantly being developed with an ever-increasing dataset of clinical cases, certain challenges threaten the implementation of an accurate and effective model. In this article, the issue of Data Bias, and Data Handling will be examined within the context of Clinical Diagnostics, and how these factors threaten the development of such AI Healthcare tools.Item UCC Student Medical Journal 4th Edition(UCC Medical Research and Technology Society, 2024) Cronin, Padraig; Mehta, ShobhaThe 4th Edition of the UCC Student Medical Journal.Item Emerging areas of personalized medicine in Obstetrics and Gynaecology: a narrative review(UCC Medical Research and Technology Society, 2024) Leung, Roxanne H.; Belfiore, Alyssa; Whibbs, Hannah; Wilson, Emma; Seo, Hoyang; Rotman, SydneyImportance: Obstetrics and gynaecology (OBGYN) focuses on women’s reproductive health. Many significant challenges in the field of OBGYN stem from limitations in screening, diagnostic, or treatment options. Conditions that are poorly understood, such as pre-eclampsia or endometriosis offer few management options or prevention strategies. In recent years, growing interest and advancements in personalized medicine have led to a deeper understanding of the aetiology and pathophysiology of OBGYN conditions, potential targets for intervention, and novel approaches to management. The aim of this review is to briefly describe some of these emerging areas of research and clinical use. Observations: Personalized medicine in obstetrics is a foundational concept underlying routine prenatal care and also drives ongoing research in areas such as advanced assisted reproductive technology, screening for medical complications during pregnancy, and fetal treatment in utero of congenital diseases. In gynaecology, developments in our understanding of determinants and mechanisms of common conditions have illuminated potential avenues for improved diagnosis and more individualized approaches to treatment of endometriosis and postmenopausal symptoms. Conclusions and Relevance: Personalized medicine is a flourishing area of research and clinical application with the potential for significant benefits to OBGYN patients. This concept has driven research interest and advancement in OBGYN disease processes that are poorly understood and offers potential novel diagnostic and treatment options for the future. With endless potential to improve the health outcomes of women and children, personalized approaches to screening, diagnosis, and management are worthwhile investments.