Recent Articles
Thyroid cancer is one of the most commonly diagnosed malignancies in South Korea, with incidence rates among the highest globally. Young women, in particular, represent a high-risk group, likely due to a combination of biological, occupational, and environmental factors. However, the specific risk factors contributing to thyroid cancer development in this population remain poorly understood.
Previous studies have found and confirmed a correlation between cognitive disorder and chemotherapy. As genetic testing becomes more routine in clinical practice, targeted therapies are increasingly gaining prominence. The relationship between targeted treatment and cognitive function is not yet clear. This study aimed to investigate the correlation between cognitive disorder and targeted treatment by evaluating the changes in cognitive function before and after targeted therapy.
Virtual health assistants (VHAs), interactive digital programs that emulate human communication, are being increasingly used in healthcare to improve patient education, care, and to reduce burden on healthcare providers. VHAs have the potential to promote cancer equity through facilitating patient engagement, providing round-the-clock access to information, and reducing language barriers. However, it is unclear to what extent audience-centeredness is being considered in the development of cancer-related applications.
Machine learning (ML) has been increasingly applied to cervical cancer (CC) research. However, few studies have combined both clinical parameters and imaging data. Additionally, there remains an urgent need for more robust and accurate preoperative assessment of parametrial invasion and lymph node metastasis, as well as postoperative prognosis prediction.
Generative artificial intelligence (AI) is increasingly used to find information. Providing accurate information is essential to support patients with cancer and their families; however, information returned by generative AIs is sometimes wrong. Returning wrong information is called hallucination. Retrieval-augmented generation (RAG), which supplements large language model (LLM) outputs with relevant external sources, has the potential to reduce hallucinations. Although RAG has been proposed as a promising technique, its real-world performance in public health communication remains underexplored.
Electronic Health Records (EHRs) are a cornerstone of modern healthcare delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynaecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end-users. This study aimed to explore multi-professional experiences of EHR use in gynaecological oncology and to develop a co-designed informatics platform to improve decision-making for ovarian cancer care.
Breast cancer is the most common cancer among women and a leading cause of mortality in Europe. Early detection through screening reduces mortality, yet participation in mammography-based programmes remains suboptimal due to discomfort, radiation exposure, and accessibility issues. Thermography, particularly when driven by artificial intelligence (AI), is being explored as a non-invasive, radiation-free alternative. However, its acceptance, reliability, and impact on the screening experience remain underexplored.
In Manitoba, Canada, the impact of the COVID-19 pandemic on cancer care delivery included, but was not limited to, disruption of many routine healthcare services, and the rapid introduction of both social distancing and virtual care. Little was known about how COVID-19 related cancer care delivery would impact patient satisfaction with care and care coordination.
