PURPOSE: This study aimed to compare clinical outcomes for single-incision laparoscopic appendectomy (SILA) and conventional laparoscopic appendectomy (CLA) for the treatment of acute appendicitis and to assess the feasibility of performing SILA in a small hospital with limited surgical instruments and staff experience. METHODS: Retrospective record review identified 133 patients who underwent laparoscopic appendectomy from December 2013 to April 2015. Patients were categorized according to the type of appendectomy performed (SILA or CLA). Patient characteristics and surgical outcomes were compared between the 2 groups. Postoperative complication rates were compared using the Clavien-Dindo classification. Postoperative pain was assessed using a visual analog scale immediately postsurgery; at 12, 24, 36, and 48 hours postoperatively, and at 7 days postoperatively. RESULTS: Record review identified 38 patients who had undergone SILA and 95 patients who had undergone CLA. No significant differences in clinical characteristics were found between the 2 groups. There were no significant differences in operation time, time to flatus, or length of hospital stay. Overall complication rates were not significantly different between the 2 groups. No complications worse than grade IIIa occurred in the SILA group. Postoperative pain scores were not significantly different between the 2 groups at any time point. CONCLUSION: We found comparable surgical outcomes for SILA compared to CLA. Even in a small hospital with limited surgical instruments and staff experience, SILA may be a feasible and safe technique.
Appendectomy* ; Appendicitis ; Classification ; Flatulence ; Humans ; Laparoscopy ; Length of Stay ; Minimally Invasive Surgical Procedures ; Pain, Postoperative ; Postoperative Complications ; Retrospective Studies ; Surgical Instruments ; Visual Analog Scale

This study was conducted to clarify the prevalence of common skin diseases and their associated factors among military personnel in Korea. Four dermatologists visited adjacent military units and examined soldiers. A structured questionnaire that included questions about known skin diseases, demographic information, and questions for the Perceived Stress Index was completed for each participant. The soldiers that had been diagnosed with a skin disease answered one additional questionnaire (Skindex-29) which assess the influence of an individual's skin disease on daily life. Of 1,321 soldiers examined, 798 (60.4%) had one or more skin diseases. The three most common skin problems were acne (35.6%), tinea pedis (15.2%) and atopic dermatitis (5.1%). The diseases closely related to the period of military service were acne, tinea pedis, viral warts and corns. The diseases related to the amount of stress were atopic dermatitis, seborrheic dermatitis, and acne. The most troublesome skin diseases were atopic dermatitis, tinea cruris, and seborrheic dermatitis. These results demonstrated that the prevalence of skin disease among military personnel in Korea is very high, and that some of the skin disorders may have a significant influence on their daily lives.
Acne Vulgaris/epidemiology ; Adult ; Cross-Sectional Studies ; Dermatitis, Atopic/epidemiology ; Humans ; Male ; Military Personnel ; Odds Ratio ; Prevalence ; Quality of Life ; Questionnaires ; Republic of Korea/epidemiology ; Risk Factors ; Skin Diseases/diagnosis/*epidemiology ; Stress, Psychological ; Tinea Pedis/epidemiology ; Young Adult

Objectives: The outlook of artificial intelligence for healthcare (AI4H) is promising. However, no studies have yet discussed the issues from the perspective of stakeholders in Korea. This research aimed to identify stakeholders’ requirements for AI4H to accelerate the business and research of AI4H. Methods: We identified research funding trends from the Korean National Science and Technology Knowledge Information Service (NTIS) from 2015 and 2019 using “healthcare AI” and related keywords. Furthermore, we conducted an online survey with members of the Korean Society of Artificial Intelligence in Medicine to identify experts’ opinions regarding the development of AI4H. Finally, expert interviews were conducted with 13 experts in three areas (hospitals, industry, and academia). Results: We found 160 related projects from the NTIS. The major data type was radiology images (59.4%). Dermatology-related diseases received the most funding, followed by pulmonary diseases. Based on the survey responses, radiology images (23.9%) were the most demanding data type. Over half of the solutions were related to diagnosis (33.3%) or prognosis prediction (31%). In the expert interviews, all experts mentioned healthcare data for AI solutions as a major issue. Experts in the industrial field mainly mentioned regulations, practical efficacy evaluation, and data accessibility. Conclusions We identified technology, regulatory, and data issues for practical AI4H applications from the perspectives of stakeholders in hospitals, industry, and academia in Korea. We found issues and requirements, including regulations, data utilization, reimbursement, and human resource development, that should be addressed to promote further research in AI4H.