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All Journal Qanun Medika - Medical Journal Faculty of Medicine Muhammadiyah Surabaya Indonesian Health Journal
Napitupulu, Rudi Pandapotan
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Dentistry Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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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
Pilihan Antibiotik Pada Pasien Abses Hepar Piogenik Mukti, Ilham Ramadhana; Vidananda, I Wayan Bagoes; Rahmaningtyas, Ihzani; Hasanovic, Ilyas; Tsany, Imtiyaz; Suryajana, I Wayan; Napitupulu, Rudi Pandapotan; Fahimi, Mukti
Qanun Medika - Jurnal Kedokteran FK UMSurabaya Vol 9 No 01 (2025): Qanun Medika Vol 09 No 01 January 2025
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jqm.v9i01.21290

Abstract

Pyogenic liver abscess is a dangerous, life-threatening disease with a high mortality rate that requires accurate diagnosis and treatment. The most common symptoms are upper abdominal pain, hepatomegaly, high fever, nausea, and vomiting. Pyogenic liver abscess occurs due to infection from anaerobic bacteria or aerobic bacteria. in the United States the reported annual incidence is 3.6 cases per 100,000 people. But in Taiwan it is 17.6 per 100,000 people. Pyogenic liver abscess sufferers are dominated by men but currently it affects older people more, with the most cases aged 50 to 60 years. The purpose of this study was to know the choice of antibiotics in patients with pyogenic liver abscess. Empiric antibiotics should be initiated immediately upon suspicion of a pyogenic liver abscess tailored to kill all possible bacteria: Gram-negative cocci, gram-positive cocci, and anaerobes. Antibiotic regimens include amoxicillin-clavulanic acid, third-generation cephalosporins combined with aminoglycosides, or piperacillin/tazobactam. In cases of penicillin allergy or antibiotic resistance, fluoroquinolones or carbapenems may be used.
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
Co-Authors Ardli, Ghaly Khaidar Dira, Neysa Ornella Hasanovic, Ilyas Mukti Fahimi Mukti, Ilham Ramadhana Rahmaningtyas, Ihzani Ramadhani, Muhammad Rizky Sari, Andini Kartika Suryajana, I Wayan Tsany, Imtiyaz Vidananda, I Wayan Bagoes