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Arif Rohman Hakim
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INDONESIA
Indonesian Health Journal
Published by Riviera Publishing
ISSN : 29633036     EISSN : 29633044     DOI : https://doi.org/10.58344
Core Subject : Health,
Dentistry Health Professions Medicine & Pharmacology Nursing Public Health Veterinary
Health : Public Health, Midwifery, Nursing, Pharmacy, Environmental Health, Labor Health, Maternal and Child Health, Health Promotion and Health Service Management. Medicine : Biomedical, Epidermiology, Pharmacology, Herbal, Surgery, Pediatrics, Internal Medicine, Neurology, Psychiatry, Radiology, Forsenics, Allergy and Immunology, Clinical Medicine, Public Medicine, Medical Science Education, Medical Rehabilitation and Sports Medicine.
Arjuna Subject : Ilmu Sosial - Kesehatan (Ilmu Sosial)
Articles 112 Documents
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The Effect of Endorphin Massage on Anxiety Levels in Preoperative Caesarean Section Patients with Spinal Anesthesia at RSI Purwokerto Ananda, Reva; Annisa, Rully
Indonesian Health Journal Vol. 4 No. 1 (2025): Indonesian Health Journal
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/ihj.v4i1.658

Abstract

The level of anxiety in preoperative caesarean section patients who receive spinal anesthesia can affect physiological and psychological responses that affect surgical outcomes. Endorphin massage therapy is a relaxation technique that aims to increase endorphin production and reduce anxiety. The purpose of this study was to determine the effect of endorphin massage therapy on the anxiety level of patients before cesarean section with spinal anesthesia at RSI Purwokerto. This study used a quasi-experimental design with a pre-test and post-test approach without a control group. The sample consisted of 30 preoperative caesarean section patients selected using purposive sampling technique. Anxiety level was measured using HARS (Hamilton Anxiety Rating Scale) questionnaire before and after endorphin massage therapy. Data analysis was performed using paired statistical tests. The results showed a decrease in the patient's anxiety level before the massage intervention of 23.23 and after the intervention of 11.90, these results indicate the average difference in anxiety scores in preoperative caesarean section mothers is 11.23. Wilcoxon statistical test showed the result (p<0.05). With the conclusion that endorphin massage therapy effectively reduces anxiety levels in patients undergoing cesarean section with spinal anesthesia. This intervention can be used as a non-pharmacological method to reduce patient anxiety before surgery.
AI-Powered Innovations in Digestive Surgery: Current Evidence and Future Perspectives - A Systematic Literature Napitupulu, Rudi Pandapotan; Ardli, Ghaly Khaidar; Ramadhani, Muhammad Rizky; Dira, Neysa Ornella; Sari, Andini Kartika
Indonesian Health Journal Vol. 4 No. 1 (2025): Indonesian Health Journal
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/ihj.v4i1.677

Abstract

Artificial Intelligence (AI) is transforming the field of digestive surgery, offering significant advancements in diagnostic accuracy, surgical precision, and perioperative management. Technologies such as machine learning (ML) and deep learning (DL) enhance surgical outcomes by identifying complex patterns in data, supporting real-time decision-making, and improving personalized patient care. This study aims to systematically evaluate the current applications, challenges, and future potential of AI-powered innovations in digestive surgery. A systematic literature review was conducted following PRISMA guidelines. The search utilized databases including Scopus, PubMed, Google Scholar, Crossref, and Web of Science. Keywords like "artificial intelligence," "machine learning," "digestive surgery," and "surgical AI" yielded 3,285 articles. After applying inclusion criteria, 23 studies published between 2020 and 2024 were selected for narrative synthesis. The review highlights AI's applications in endoscopic procedures, achieving diagnostic accuracy up to 98% for early-stage cancers. AI-driven systems enhance intraoperative precision, particularly in laparoscopic and robotic surgeries, reducing complication risks and improving outcomes. Moreover, AI-based predictive models support perioperative management by optimizing surgical planning and postoperative care, demonstrating improved efficiency and patient safety. AI is reshaping digestive surgery by enabling better diagnostics, personalized treatment, and improved surgical outcomes. Despite challenges like data quality and ethical concerns, the continued evolution of AI technologies holds promise for further advancements in surgical practices and education

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