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  1. Carine Sun CY, Ashok K, Mughni B
    Med J Malaysia, 2020 05;75(3):304-306.
    PMID: 32467551
    Intrauterine intussusception is a rare but evident cause of intestinal atresia and is usually detected intraoperatively. We report on a term neonate who presented to the Department of Paediatric Surgery, Sabah Women and Children's Hospital, Malaysia with delayed passage of meconium and intestinal obstruction, wherein the lower contrast showed a claw sign. This was a good clue that this neonate had intrauterine intussusception and this suspicion was confirmed upon laparotomy. We found an ileo-ileal intussusception causing ileal atresia, requiring resection and primary anastomosis.
  2. Lin SJ, Sun CY, Chen DN, Kang YN, Lai NM, Chen KH, et al.
    BMJ Health Care Inform, 2024 Jul 20;31(1).
    PMID: 39032946 DOI: 10.1136/bmjhci-2023-100985
    BACKGROUND AND OBJECTIVES: Patient-clinician communication and shared decision-making face challenges in the perioperative period. Chatbots have emerged as valuable support tools in perioperative care. A simultaneous and complete comparison of overall benefits and harm of chatbot application is conducted.

    MATERIALS: MEDLINE, EMBASE and the Cochrane Library were systematically searched for studies published before May 2023 on the benefits and harm of chatbots used in the perioperative period. The major outcomes assessed were patient satisfaction and knowledge acquisition. Untransformed proportion (PR) with a 95% CI was used for the analysis of continuous data. Risk of bias was assessed using the Cochrane Risk of Bias assessment tool version 2 and the Methodological Index for Non-Randomised Studies.

    RESULTS: Eight trials comprising 1073 adults from four countries were included. Most interventions (n = 5, 62.5%) targeted perioperative care in orthopaedics. Most interventions use rule-based chatbots (n = 7, 87.5%). This meta-analysis found that the majority of the participants were satisfied with the use of chatbots (mean proportion=0.73; 95% CI: 0.62 to 0.85), and agreed that they gained knowledge in their perioperative period (mean proportion=0.80; 95% CI: 0.74 to 0.87).

    CONCLUSION: This review demonstrates that perioperative chatbots are well received by the majority of patients with no reports of harm to-date. Chatbots may be considered as an aid in perioperative communication between patients and clinicians and shared decision-making. These findings may be used to guide the healthcare providers, policymakers and researchers for enhancing perioperative care.

  3. Lin SJ, Sun CY, Chen DN, Kang YN, Hoang KD, Chen KH, et al.
    Support Care Cancer, 2024 Dec 27;33(1):55.
    PMID: 39730943 DOI: 10.1007/s00520-024-09096-9
    BACKGROUND: Effective education and awareness regarding breast cancer are critical. Traditional educational methods often fail to meet the diverse information needs of patients. Patients should be provided with tailored, accessible information to improve their retention and understanding of disease-related information.

    PURPOSE: This systematic review and meta-analysis evaluated the effectiveness of chatbots for providing breast cancer education. By examining patient satisfaction with and the usability and efficacy of chatbot interventions, this study seeks to support the integration of chatbot technology into cancer education.

    METHODS: This review, which was conducted in accordance with PRISMA guidelines, included studies from MEDLINE, Embase, and the Cochrane Library up to May 2024. The main inclusion criterion was chatbot interventions for breast cancer education. Meta-analysis was performed using Review Manager and Open Meta-Analyst software.

    RESULTS: Of the 208 articles initially identified, 6 studies met the inclusion criteria, involving a total of 1342 women with early-stage or at-risk hereditary breast cancer. The meta-analysis revealed that most participants (85 to 99%) reported high satisfaction with chatbot interventions for breast cancer education, with no significant differences in satisfaction compared to genetic counselors or physicians. The chatbot interventions also showed positive effects on knowledge acquisition (mean proportion = 90.8%) and alleviated patients' symptoms significantly more than routine care.

    CONCLUSION: This study demonstrated that chatbots can effectively provide personalized and interactive educational support, enhancing patients' understanding and retention of disease-related information. The integration of chatbot technology into educational programs can empower patients, ultimately promoting breast cancer awareness and prevention.

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