ABSTRACT
BACKGROUND: Artificial intelligence (AI) is a novel technology that has been widely acknowledged for its potential to improve the processes' efficiency across industries. However, its barriers and facilitators in healthcare are not completely understood due to its novel nature. STUDY PURPOSE: The purpose of this study is to explore the intricate landscape of AI use in family medicine, aiming to uncover the factors that either hinder or enable its successful adoption. METHODS: A cross-sectional survey design is adopted in this study. The questionnaire included 10 factors (performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, perceived privacy risk, personal innovativeness, ethical concerns, and facilitators) affecting the acceptance of AI. A total of 157 family physicians participated in the online survey. RESULTS: Effort expectancy (µ = 3.85) and facilitating conditions (µ = 3.77) were identified to be strong influence factors. Access to data (µ = 4.33), increased computing power (µ = 3.92), and telemedicine (µ = 3.78) were identified as major facilitators; regulatory support (µ = 2.29) and interoperability standards (µ = 2.71) were identified as barriers along with privacy and ethical concerns. Younger individuals tend to have more positive attitudes and expectations toward AI-enabled assistants compared to older participants (p < .05). Perceived privacy risk is negatively correlated with all factors. CONCLUSION: Although there are various barriers and concerns regarding the use of AI in healthcare, the preference for AI use in healthcare, especially family medicine, is increasing.
ABSTRACT
Polysplenia syndrome is a rare congenital anomaly characterized by multiple spleens and associated organ anomalies, which can present with serious complications such as splenic infarction. Diagnosis and management of the disorder can be challenging due to the presence of associated anomalies and the condition is often diagnosed incidentally. We report a case of a six-year-old girl with no significant medical history who presented to the emergency department with fever, abdominal pain, and vomiting. Physical examination and laboratory investigations showed leukocytosis, anemia, and elevated levels of C-reactive protein. A computed tomography scan revealed splenic infarction with polysplenia syndrome. The patient received intravenous antibiotics and pain management and was closely monitored for complications such as sepsis. Early diagnosis and appropriate management are essential to prevent complications, and close monitoring and follow-up are necessary for long-term management.
