The coronavirus disease 2019 pandemic has underscored the limitations of traditional diagnostic methods, particularly in ensuring the safety of healthcare workers and patients during infectious outbreaks. Smartphone-based digital stethoscopes enhanced with artificial intelligence (AI) have emerged as potential tools for addressing these challenges by enabling remote, efficient, and accessible auscultation. Despite advancements, most existing systems depend on additional hardware and external processing, increasing costs and complicating deployment. This review examines the feasibility and limitations of smartphone-based digital stethoscopes powered by AI, focusing on their ability to perform real-time analyses of audible and inaudible sound frequencies. We also explore the regulatory barriers, data storage challenges, and diagnostic accuracy issues that must be addressed to facilitate broader adoption. The implementation of these devices in veterinary medicine is discussed as a practical step toward refining their applications. With targeted improvements and careful consideration of existing limitations, smartphone-based AI stethoscopes could enhance diagnostic capabilities in human and animal healthcare settings.
BACKGROUND Smartphone addiction, academic stress and anxiety of university students are increasing gradually; however, few studies have investigated these factors in medical school students. Therefore, this study investigated associations between smartphone addiction scale and sociopsychological aspects in medical school students. METHODS: A total of 231 Yeungnam University College of Medicine students were enrolled in this study in March 2017. Gender, school grade, type of residence, and smartphone usage patterns of the students were surveyed. The Korean Smartphone Addiction Proneness Scale and each Korean version scale were used to assess sociopsychological aspects such as loneliness, stress and anxiety. RESULTS: There was a direct statistical correlation between loneliness, stress of negative perception, anxiety and smartphone addiction scales. There was also a negative statistical correlation between stress of positive perception and smartphone addiction scales. There was a higher level of anxiety among female students than male students. Additionally, there was a higher level of stress associated with negative perception and anxiety among medical students in the first grade than other students. Moreover there was a higher level of loneliness, stress of negative perception and anxiety among students who live with friends than students who live with their own family. CONCLUSION: Smartphone addiction scale and sociopsychological aspects significantly correlated. Moreover, the results suggest that female medical students in the first grade who have been separated from their family need more attention and management of loneliness, stress and anxiety to avoid smartphone addiction.
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