Understanding AI in Healthcare: Perspectives of Future Healthcare Professionals.

Introduction The current medical curriculum lacks comprehensive artificial intelligence (AI)-focused training, potentially impacting future healthcare delivery. This study addresses the critical gap in AI training within medical education, particularly in India, by assessing medical students' awareness, perceptions, readiness, confidence, and ethical considerations regarding AI in healthcare. Our findings underscore the necessity of integrating AI competencies into medical education to prepare future healthcare professionals for an AI-driven landscape. Method After obtaining ethics approval, we conducted a cross-sectional study on Bachelor of Medicine and Bachelor of Surgery (MBBS) students from the 2019-2023 batch. An exploratory survey using a validated questionnaire was employed to obtain medical students' current understanding and awareness of artificial intelligence (AI) in healthcare, perceptions, readiness, confidence, and ethical considerations in utilizing AI technologies in clinical practice. Results The survey received 217 responses from 2019-2023 MBBS students. We found a mean percentage of awareness score of 44.74%, a mean percentage perception score of 68.96%, a mean percentage readiness score of 91.32%, a mean percentage confidence score of 58.48%, and a mean percentage ethics importance score of 69.27%. Males had higher awareness, confidence, and readiness scores. Conversely, females scored slightly higher in perception and the importance of ethics consideration, although not statistically significant. Junior batches outperform senior batches in perception, confidence, and readiness scores; in contrast, the awareness and ethics importance scores do not show significant differences between the two groups. Conclusion Our study indicates a generally positive outlook toward AI's potential to enhance healthcare delivery and patient outcomes. The study suggests a strong inclination toward further education and practical training focused on AI in healthcare, considering a solid recognition of the significance of ethical implications related to AI in healthcare. These findings highlight the importance of fostering AI literacy within medical education curricula and underscore the necessity for ongoing evaluation and adaptation to ensure that future healthcare professionals are equipped to navigate the complexities of AI in healthcare delivery while upholding ethical standards.

Navigating the challenges: exploring the association between COVID-19 lockdowns and eating behavior in university students: a systematic review and investigation of factors impacting ed levels.

INTRODUCTION: The COVID-19 pandemic has significantly impacted the mental and physical well-being of individuals globally, with university students being particularly susceptible to mental health issues. Factors such as the transition to adulthood, economic hardships, and academic responsibilities, compounded by pandemic-related disruptions like lockdowns and remote learning, have elevated stress levels and altered daily routines. The pandemic has given rise to post-traumatic stress symptoms in certain individuals, including university students which may contribute to the emergence of emotional eating or adopting unhealthy eating patterns as a coping mechanism, leading to excessive consumption or unhealthy dietary choices. This review aims to investigate the influence of COVID-19 restrictions on eating disorders among university students and identifying the contributing factors. CONTENT: Out of 59 identified articles, 10 met the inclusion criteria, involving 23,542 participants (70.2 % women, 29.35 % men, 0.42 % gender fluid/undisclosed). The lockdown led to increased prevalence and severity of eating disorders among university students, particularly in women. SUMMARY: The review highlights a notable increase in eating disorders among university students during the COVID-19 pandemic. Mental health issues, reduced physical activity, and economic stress were significant contributors to this trend, with women being disproportionately affected. OUTLOOK: To mitigate the impact of future pandemics or similar disruptions, universities should implement early screening, provide mental health counseling, virtual support groups, nutritional guidance, and opportunities for physical activity. Encouraging students to seek professional help is crucial for managing mental health and eating habits in such scenarios.

Promoting Pedagogical Resilience: Unveiling the Efficacy of Synchronous Online Lectures Compared to Traditional Methods From the Students' Vantage Point Amidst the COVID-19 Pandemic.

Introduction The COVID-19 pandemic significantly disrupted traditional educational methods, forcing medical institutes to adapt to online classes. Since online teaching was an untested approach in Indian medical education, student feedback was essential. This study compares synchronous online lectures with traditional classroom lectures from the students' perspective. Method The cross-sectional study was conducted on undergraduate medical students across India undergoing synchronous online MBBS classes during the COVID-19 pandemic. After obtaining institutional ethical clearance, five-section questionnaires via Google Forms were circulated on WhatsApp and Facebook. The generated quantitative data were analyzed using descriptive statistics and frequency analysis. Result Out of 341 responses, 64 students did not consent and were excluded, resulting in 277 responses for analysis. The total score for traditional face-to-face lectures was 11.61 out of 15, with a percentage mean score of 77%, highlighting the significant positive influence of instructor presence and a conducive learning environment. In contrast, synchronous online lectures had a total score of 16.01 out of 25, with a percentage mean score of 64.04%, reflecting mixed responses. The Student's t-test analysis underscored the significant advantages of face-to-face interactions and structured learning environments in traditional classroom settings despite the flexibility and independence offered by synchronous online lectures. Conclusion The findings of this study reveal that students have a moderate level of satisfaction with synchronous online lectures, as indicated by a mean score of 64.04%. While these lectures provide flexibility and promote independence, they require students to exhibit higher levels of self-motivation, discipline, and self-directed learning. However, the online format poses challenges for effective communication and technical issues. Addressing the challenges of technology use, teacher training, and student engagement can enhance the effectiveness of online teaching and ensure that it complements traditional teaching methods, ultimately promoting pedagogical resilience in medical education.

Concept mapping a potential pedagogical strategy to foster meaningful learning in physiology students.

BACKGROUND: Understanding of human physiology is critical for clinical practice and disease management. Escalating the teaching-learning method to improve conceptual knowledge may help the students to apply their knowledge in clinical scenarios. The present study was conducted to teach the use of concept mapping as a learning strategy to foster meaningful learning in physiology, compare its impact as a learning tool with traditional methods on meaningful learning, assess the cognitive gain, and find student's perception regarding concept mapping. MATERIALS AND METHODS: The interventional study was conducted on first-year MBBS students. Depending upon marks obtained in previous internal assessments, the students were classified into "rapid learners" (RL) and "potential learners" (PL). By simple random sampling technique, both groups were divided into interventional (concept mapping) and control groups (question-answer discussion). After a pretest, all students had a lecture on glomerular filtration. The assignment was given to the interventional group to prepare a concept map on glomerular filtration, and question-answer were discussed for control groups. A surprise posttest was conducted after 2-3 days. RESULT: In our study, all four groups showed significant differences in the pretest and posttest scores using a paired t-test (P < 0.05). The mean score of gain in learning, raw gain (G0), absolute learning gain, relative learning gain, and average normalized gain compared between the interventional group and controls group showed statistically significant performance improvement in both RL and PL groups. CONCLUSION: The concept mapping strategy was more efficacious than the question-answer discussion. Concept mapping is an impactful learning tool to improve cognitive gain and potential pedagogical strategy to foster meaningful learning in physiology students.

Performance of Large Language Models (ChatGPT, Bing Search, and Google Bard) in Solving Case Vignettes in Physiology.

Background Large language models (LLMs) have emerged as powerful tools capable of processing and generating human-like text. These LLMs, such as ChatGPT (OpenAI Incorporated, Mission District, San Francisco, United States), Google Bard (Alphabet Inc., CA, US), and Microsoft Bing (Microsoft Corporation, WA, US), have been applied across various domains, demonstrating their potential to assist in solving complex tasks and improving information accessibility. However, their application in solving case vignettes in physiology has not been explored. This study aimed to assess the performance of three LLMs, namely, ChatGPT (3.5; free research version), Google Bard (Experiment), and Microsoft Bing (precise), in answering cases vignettes in Physiology. Methods This cross-sectional study was conducted in July 2023. A total of 77 case vignettes in physiology were prepared by two physiologists and were validated by two other content experts. These cases were presented to each LLM, and their responses were collected. Two physiologists independently rated the answers provided by the LLMs based on their accuracy. The ratings were measured on a scale from 0 to 4 according to the structure of the observed learning outcome (pre-structural = 0, uni-structural = 1, multi-structural = 2, relational = 3, extended-abstract). The scores among the LLMs were compared by Friedman's test and inter-observer agreement was checked by the intraclass correlation coefficient (ICC). Results The overall scores for ChatGPT, Bing, and Bard in the study, with a total of 77 cases, were found to be 3.19±0.3, 2.15±0.6, and 2.91±0.5, respectively, p<0.0001. Hence, ChatGPT 3.5 (free version) obtained the highest score, Bing (Precise) had the lowest score, and Bard (Experiment) fell in between the two in terms of performance. The average ICC values for ChatGPT, Bing, and Bard were 0.858 (95% CI: 0.777 to 0.91, p<0.0001), 0.975 (95% CI: 0.961 to 0.984, p<0.0001), and 0.964 (95% CI: 0.944 to 0.977, p<0.0001), respectively. Conclusion ChatGPT outperformed Bard and Bing in answering case vignettes in physiology. Hence, students and teachers may think about choosing LLMs for their educational purposes accordingly for case-based learning in physiology. Further exploration of their capabilities is needed for adopting those in medical education and support for clinical decision-making.

The Role of the Flipped Classroom Method in Short-Term and Long-Term Retention Among Undergraduate Medical Students of Anatomy.

Introduction Medical education is changing towards more flexible, effective, active, and student-centred teaching strategies that reduce the limitations of traditional methods of education. Recently, the flipped classroom method has been suggested to support this transition. However, research on the use of flipped classroom methods in medical education pertaining to short- and long-term retention of the topics is at an early stage. The present paper aims to determine and compare the effects of traditional and flipped classroom methods on first-year medical students' short-term and long-term retention. Method Fifty first-year medical students were subjected to traditional and flipped classroom modules in the form of five sessions each on gross anatomy topics of the thoracic region. These sessions were conducted during independent teaching slots for anatomy. Assessments were done at the completion of each module for both methods. Then, after a gap of two months, the students were again assessed on the content taught in the modules as a part of formative assessment. The data so obtained were compared and analysed statistically. Ethical approval was obtained prior to beginning the study. Written informed consent was obtained from the participating students. Result A total of 50 first-year medical students participated in the study. 33 (67%) participants were males, with a median age of 19.47 years, and 17 (33%) participants were females, with a median age of 19.39 years. The assessment scores showed differences between the two methods of teaching in the short and long term. The flipped classroom method was observed to have significant short-term retention with a p-value <0.0001, which is statistically significant. Conclusion The study concludes that the flipped classroom method serves as an advantageous tool and motivating factor for effective learning, understanding, and retention of conceptual and factual anatomical content.

COVID-19 infection in pregnancy: a review of existing knowledge.

The world has been coping up with the grave pandemic of COVID-19 since its inception into the human race in December, 2019. By entering the host through the spike (S) glycoprotein, it paves way for its own survival and multiplication. Respiratory tract being the point of entry causes pulmonary compromise and leads to development of ARDS. Having non-specific clinical features that resemble flu makes the clinical diagnosis much more difficult. Pregnancy being an immunocompromised and a hypercoagulable state is prone to be a high-risk group for COVID-19. This study is an attempt to understand the maternal and fetal outcomes in COVID-19 and the vertical transmissibility of the virus. Evidence suggests that the contribution of COVID-19 is not very significant in maternal morbidity and mortality. However, due to some factors such as the immunological response in the mother, certain complications may arise in the neonate in the post-natal period. No vertical transmission of the virus has been reported yet. However, the management remains crucial as two lives are at stake. Some of the precautionary measures that can be implemented to prevent COVID-19 can be segregation of medical services from that of the general population in settings of outpatient care, inpatient care and labor room care. Also, triaging the patients into low risk, moderate risk and high risk can aid in faster delivery of health-care facilities to the pregnant and the newborn.

The Effect of High Temperature on Cardiovascular Autonomic Function Tests in Steel Plant Furnace Worker.

BACKGROUND: The high temperature in the working environment could be one of the risk factors for cardiovascular diseases in steel plant workers. The excessive high temperature at the working place leads to altered autonomic activity and is related to more cardiovascular risk. AIMS AND OBJECTIVES: The effect of high temperature on cardiovascular autonomic function tests in steel plant furnace worker. MATERIAL AND METHOD: This was a case-control study for which 50 steel plant furnace workers and 50 controls were selected. The cardiovascular sympathetic function status in worker and control were analyzed by three tests: (i) Blood pressure (BP) response to sustained isometric handgrip test, (ii) BP response to the cold pressor test, and (iii) BP response to standing from a supine position (orthostasis). Statistical analysis was done by using an independent t-test. RESULTS: Diastolic BP (DBP) response to sustained isometric handgrip and systolic BP (SBP) and DBP response to the cold pressor test showed that the increase BP in workers were more than controls but the difference was not statistically significant (P > 0.05). SBP response to standing from the supine position showed statistically significant (P < 0.001) greater fall in steel plant workers. CONCLUSION: The sympathetic autonomic dysfunction was seen in steel furnace workers in response to environmental stressor-excessive heat.

COVID-19 and geriatric population: from pathophysiology to clinical perspectives.

The COVID-19 pandemic has not only led to a worldwide socio-economic depression, but has also had the highest health impact on the geriatric population. Elderly population, due to various reasons such as low immunity, pre-existing co-morbidities such as hypertension, cardiovascular diseases or diabetes, are obviously predisposed to develop severe infections and exhibit a high mortality rate. This is because of many reasons which include the atypical presentation in the geriatric population which might have led to diagnostic delay. As per the WHO guidelines to perform RT-PCR only on the symptomatic individuals, a very small portion of individuals were tested, leaving a fraction of population undiagnosed. Therefore, there remained a chance that many asymptomatic individuals such caregivers, healthcare professionals, family members were undiagnosed and might have carried this virus to the geriatric patients. Also, many countries were not prepared to handle the burden on their healthcare system which included sudden increased demand of ICU beds, mechanical ventilation etc. As a result, they had to make decision on who to be admitted. Atypical presentation in geriatric population may include afebrile or low-grade fever, absence of cough, malaise, muscle pains, dyspnoea etc. Geriatric population shows a more severe type of pneumonia, significantly higher number of neutrophils and C-reactive protein, less lymphocytes and a higher proportion of multiple lobe involvement. Extreme social suppression during COVID-19 pandemic has increased the risk of mental and physical adverse effects that has made older adults more vulnerable to depression and anxiety.

COVID-19 and cardiovascular disease: a review of current knowledge.

The uncontrolled spread of the COVID-19 pandemic which originated in China created a global turmoil. While the world is still busy figuring out a cure for the deadly disease, scientists worked out on many theories and conducted several studies to establish a relationship between the infection and other known diseases. Cardiovascular diseases (CVD) are one of the major complications of this infection after the respiratory manifestations. Individuals with cardiovascular complication are said to be more susceptible to acquiring the infection because the novel coronavirus uses the ACE2 receptor for its entry inside the cell and there is a high level of ACE2 expression in individuals with cardiovascular complications because of the enzyme's anti-hypertrophic, anti-fibrotic and anti-hypertensive effects on the heart. Individuals who belong to the older age group are also more susceptible. Knowing the above information, it might seem that using ACE2 inhibitors would help to slow or prevent the entry of the novel coronavirus but it would also at the same time prove to have deleterious effects on the cardiovascular system as the protective functions of ACE2 would be lost. While the search for a cure still continues it has been stated many a times that the conditions might worsen with time and the only way to keep ourselves and our family safe would be to follow the appropriate social distancing methods and get a COVID test if we experience any of the major symptoms.