Exploring the Quality of Life (QOL) of medical students in Karachi, Pakistan.

BACKGROUND: The pursuit of medical and dental education is challenging and can affect the overall quality of life of medical students. Assessing the quality of life of medical students is the first step in the preparation of efficient future health care professionals. This study used the World Health Organization Quality of Life Brief Version (WHOQOL-BREF) to evaluate the quality of life of medical and dental students in Karachi, Pakistan. OBJECTIVES: The study objectives include: assessing the QoL of medical and dental students and their general health satisfaction and self-satisfaction. MATERIALS AND METHODS: This cross-sectional study was conducted among 344 medical and dental students from different medical and dental schools in Karachi, Pakistan. The World Health Organization Quality of Life Brief Version (WHOQOL-BREF) questionnaire was used to assess QOL, which included 26 items covering four domains: physical, psychological, social, and environmental. All scores for the domains ranged from 4 to 20. Scoring was done according to the WHOQOL-BREF procedure manual. The questionnaire was disseminated to medical students using Google Forms. SPSS software was used to analyze the data. Cronbach's alpha and the Kaiser-Meyer-Olkin (KMO) test were used to evaluate the reliability and sampling adequacy of the data for factor analysis. Descriptive statistics were computed for each variable and QoL domain, including frequencies, percentages, averages, and standard deviations. Domain scores were compared using a t-test and one-way ANOVA, with p-values less than 0.05, indicating statistical significance. RESULTS: Among the 344 medical students, 56.7% (n = 195) were female and 43.3% (n = 149) were male. The WHOQOL-BREF demonstrated excellent reliability, with a Cronbach's alpha of 0.918. Most medical students rated their overall QOL (62.2%) and health satisfaction (46.8%) as good, and were able to get around well (71.3%). No significant sex differences were found across the various QOL domains. Marital status significantly affected QOL scores (p < 0.005). Single students had significantly higher QOL scores than married/separated/divorced students did. Overall, the environmental domain had the highest mean score (26.81 ± 6.17), while social relationships had the lowest mean score (9.68 ± 2.93). CONCLUSION: The findings of this study provide valuable insights into the QoL of medical and dental students. Most participants reported moderate satisfaction with their physical health and lower satisfaction with the psychological, social, and environmental components of QoL. Marital status was found to significantly impact the QoL as compared to single students with greater QoL. These findings can help form targeted interventions to enhance medical students' quality of life and prepare efficient future healthcare professionals.

A comprehensive review of applications of artificial intelligence in echocardiography.

Echocardiography plays a crucial role in diagnosis of cardiovascular diseases. Artificial intelligence has emerged as a high-precision tool to automate echocardiographic analysis. This review discusses AI algorithms that have been utilized at various steps of echocardiographic analysis such as image acquisition, standard view classification, cardiac chamber segmentation, quantification of cardiac structure and function and aid diagnosis. The under-discussion AI models demonstrated high accuracy comparable to experts in view classification, measurement of cardiac structure and function and diagnosis of conditions such as cardiomyopathies. This review also discusses potential benefits and the value of AI in revolutionizing healthcare. It also explores the limitations such as the lack of large annotated datasets to train AI models and potential algorithm biases making it challenging to translate the benefits of AI into wider clinical practice.