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BACKGROUND: Direct digital photography for lip print recording is a recent trend, and there is a dearth of systematic research on the analysis of the recorded prints with existing clip print classification systems. AIMS AND OBJECTIVES: This study aims to compare the accuracy of the digital photographic method in lip print recording, comparing it with traditional methods, and assessing the suitability of commonly used lip print classification for analyzing lip prints recorded by photographic method. METHODOLOGY: A total of 72 participants aged between 20 and 26 were included. The lip print recording process involved photographing the lips without and with lipstick, followed by recording the lip print with cellophane tape on bond paper. The prints collected using the different methods were analyzed and compared for agreement, and the data were analyzed statistically. RESULTS: Inter-observer reliability was high for all methods (>0.800). The distribution of lip print patterns differed across the methods, suggesting a potential influence of the recording technique. The agreement between the conventional method and both digital methods was moderate (kappa=0.449-0.517). The agreement between digital methods with and without enhancement was also moderate (kappa=0.718). Notably, digital photographs with enhancement tend to have a higher positive agreement for several lip print types. CONCLUSION: Digital photography is a potential method for lip print recording. However, this study highlights the need for the calibration of lip print classification systems for digitally recorded lip prints. Further research is needed to refine the use of digital photography in forensic lip print analysis and to explore its integration with artificial intelligence for biometric identification.
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Background In Malaysia, the Geriatric Oral Health Assessment Index (GOHAI) has been recognized as a vital instrument for evaluating oral health-related quality of life among the elderly population. Its integration into the National Health and Morbidity Survey (NHMS) in 2018 demonstrates the country's dedication to understanding and addressing the unique oral health challenges faced by older individuals. The NHMS, led by the Ministry of Health Malaysia, serves as a crucial platform for identifying and addressing healthcare needs, while also working towards achieving sustainable development goals. This study aimed to provide valuable information for stakeholders and researchers by investigating the relationship between quality of life related to oral health and demographic factors, with the ultimate goal of enhancing oral healthcare for older individuals. Objective The objective of this research was to identify the variables that impact the Oral Health-Related Quality of Life (OHRQoL) of non-institutionalized elderly individuals who visit the Klinik Pergigian Manipal University College Malaysia (MUCM). By utilizing the OHRQoL, dental practitioners can gain insight into the elderly's oral health-related quality of life, which is crucial information for dental healthcare providers to effectively reach out to and cater to the elderly at the institution. Methodology A cross-sectional design was employed, utilizing a non-probability sampling method to select eligible elderly individuals at the clinic. A validated questionnaire comprising 18 items covering sociodemographic details and the Geriatric Oral Health Assessment Index (GOHAI) was distributed to individuals above 60 years via printed forms. One way ANOVA, unpaired t-test and multiple linear regression analysis were performed to analyze the data. Results The overall mean GOHAI score among non-institutionalized elderly attending Klinik Pergigian MUCM was 48.38±9.33, indicating poor OHRQoL. The psychosocial impact domain had a mean score of 19.33±5.21, surpassing the pain and discomfort domain with a score of 10.73±2.82, highlighting the significant impact of psychosocial factors on poor oral health-related quality of life. Multiple linear regression analysis revealed no significant associations between OHRQoL and factors such as ethnicity, living arrangements apart from spouse and family, or tertiary education among older individuals after adjusting for confounding variables. Conclusions This study indicates that sociodemographic aspects have minimal impact on the OHRQoL of seniors. Further examination is needed to understand the economic aspects of tooth replacement options and preventive measures in this age group. To enhance the OHRQoL of older adults, especially those not living in facilities like nursing homes or assisted living centers, tailored oral healthcare plans and strategies are crucial. Interdisciplinary collaboration among mental health professionals, geriatric experts, and oral healthcare providers is crucial for empowering both healthcare practitioners and seniors to maintain optimal oral health.
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BACKGROUND: The impact of generative artificial intelligence-based Chatbots on medical education, particularly in Southeast Asia, is understudied regarding healthcare students' perceptions of its academic utility. Sociodemographic profiles and educational strategies influence prospective healthcare practitioners' attitudes toward AI tools. AIM AND OBJECTIVES: This study aimed to assess healthcare university students' knowledge, attitude, and practice regarding ChatGPT for academic purposes. It explored chatbot usage frequency, purposes, satisfaction levels, and associations between age, gender, and ChatGPT variables. METHODOLOGY: Four hundred forty-three undergraduate students at a Malaysian tertiary healthcare institute participated, revealing varying awareness levels of ChatGPT's academic utility. Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics. RESULTS: Multiple logistic regression highlighted associations between demographics, knowledge, attitude, and academic ChatGPT use. MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students. Final-year students exhibited the highest likelihood of academic ChatGPT use. Higher knowledge and positive attitudes correlated with increased academic usage. Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently. Some did not use it (41.1%), while others heavily relied on it (9.3%). Users also employed it for various purposes, from generating questions to understanding concepts. Thematic analysis of responses showed students' concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks. CONCLUSION: This study aids in creating guidelines for implementing GAI chatbots in healthcare education, emphasizing benefits, and risks, and informing AI developers and educators about ChatGPT's potential in academia.