IntroductionRapid advancements are being made in the field of Artificial Intelligence (AI) to support digital healthcare transformation and provide evidence-based care. The aim of this cross-sectional study was to evaluate the knowledge of basic principles, limitations, and applications of AI in healthcare among medical students and doctors of a developing country.
MethodsTwo free webinars were hosted for doctors and medical students in northern India (Punjab state) to create awareness about the role of AI in healthcare and the recent advancements made in various medical specialties. The delegates' perceptions about their knowledge and interest in AI were ascertained using the Likert scale (1 = low, 5 = high) in the post-event questionnaire. Using Chi-square and cross-tabulation analysis, associations were examined between knowledge of AI, gender, medical experience, and other variables.
ResultsOut of the total of 621 registrants, 367 filled the post-event questionnaire and were included in the analysis. Although the majority felt that AI will play an important role in delivering healthcare services in the future (74.4%), they did not feel knowledgeable about the applications (79.6%) and limitations of AI (82.8%). A relatively lesser proportion of doctors (51.6%) felt interested to learn more about AI than medical students (69.3%). Furthermore, a lesser proportion of doctors (65.2%) felt that AI will be beneficial for their career as a doctor as compared with medical students (84.4%). The majority of medical students (83.5%) had never attended any webinar/lecture or course on AI in healthcare and felt that they have received minimal advice (80.7%) from their medical school on teaching about AI and its applications. A significantly (P = 0.001) higher proportion of female medical students were unknowledgeable about the principles and applications of AI than male respondents. However, female medical students were significantly (P = 0.004) more interested than male medical students to learn about AI.
ConclusionsFormal training courses to teach about AI should be focused on to facilitate coherent and scientifically supported dissemination of knowledge in medical schools and hospitals. Further large-scale studies are needed to understand the perception and attitude of medical students and doctors regarding AI to steer policy development and medical education curriculum changes to spark an interest in emerging technologies and drive innovation.
Amyand's hernia is a rare condition where the appendix becomes trapped in the inguinal hernia sac, leading to severe complications if left untreated. Treatment typically involves surgical repair of the hernia, with the removal of the appendix if necessary. This case report presents a 65-year-old male with compromised cardiac status and a right inguinal hernia, confirmed by ultrasound. The surgery was performed under local anesthesia, and the appendix was normal and reduced back. The patient was discharged on the next day of surgery after an uneventful course in the hospital. There is a difference of opinion regarding the need for an appendectomy in an Amyand's hernia with a normal appendix, with the appendix dancing in and out of the inguinal canal while coughing on the table. The decision to remove or leave a normal appendix in this situation should be based on several factors, including the patient's age, appendix anatomy, and extent of intraoperative inflammation. In conclusion, local anesthesia can be a safe and effective option for patients who are not fit for general or spinal anesthesia. The decision to remove or leave a normal appendix in Amyand's hernia should be based on several factors.
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