METHODS: This study applies radiomics and deep learning in the diagnosis of lung cancer to help clinicians accurately analyze the images and thereby provide the appropriate treatment planning. 86 patients were recruited from Bach Mai Hospital, and 1012 patients were collected from an open-source database. First, deep learning has been applied in the process of segmentation by U-NET and cancer classification via the use of the DenseNet model. Second, the radiomics were applied for measuring and calculating diameter, surface area, and volume. Finally, the hardware also was designed by connecting between Arduino Nano and MFRC522 module for reading data from the tag. In addition, the displayed interface was created on a web platform using Python through Streamlit.
RESULTS: The applied segmentation model yielded a validation loss of 0.498, a train loss of 0.27, a cancer classification validation loss of 0.78, and a training accuracy of 0.98. The outcomes of the diagnostic capabilities of lung cancer (recognition and classification of lung cancer from chest CT scans) were quite successful.
CONCLUSIONS: The model provided means for storing and updating patients' data directly on the interface which allowed the results to be readily available for the health care providers. The developed system will improve clinical communication and information exchange. Moreover, it can manage efforts by generating correlated and coherent summaries of cancer diagnoses.
OBJECTIVE: This study aims to assess the knowledge, attitudes, and practices of community pharmacists in Malaysia regarding the provision of counselling services on vitamins and DSs. The findings will inform education strategies in this area.
METHODS: A cross-sectional quantitative study was conducted from February to April 2022 using a validated online-based questionnaire. The survey was distributed to community pharmacists across Malaysia through social media channels. t-test and ANOVA test were used for data analysis.
RESULTS: Among the 260 participants, 73.5% were categorized as having average product knowledge. Key concerns included a lack of knowledge about the indications of new products and when to discontinue their use. Regarding dosing in specific patient groups, 33.5% of pharmacists only occasionally consulted references and primarily relied on product labels. Furthermore, 29% of pharmacists believed it was unnecessary to refer patients to doctors when they experienced ongoing symptoms while taking vitamins or DSs. Interestingly, 44.6% of pharmacists believed there was a correlation between the efficacy of vitamins and their price, often recommending more expensive brands despite similar content.
CONCLUSION: There is an opportunity to enhance the knowledge of pharmacists in Malaysia regarding vitamins and DSs. Education interventions should focus on areas such as dosing for specific patient groups, when to discontinue products, understanding new products, evidence-based efficacy of products for specific conditions, and providing a framework for appropriate referral to support pharmacists in their practice.