Artificial intelligence (AI) encompasses the advancement of computers and robots, enabling them to surpass human capabilities in various aspects. By utilizing AI, programs have the ability to autonomously analyze and interpret data, offering information and executing actions without any human involvement. The ongoing war in Ukraine showed various aspects of severe gunshot injuries because of previously unknown course of wounds after application of ballistic missiles, drones, etc., which is frequently applied by russians. In such conditions, decision-making process by military medical doctors must be quick and rational, however in case of massive casualties, combined trauma (e.g. thoracoabdominal gunshot injury) MDs might have permanent challenges to apply appropriate care options and individualized approach. The aim of this study is to start the discussion about role and possible application of AI in management of gunshot injuries in combat patients or other individuals who received wounds relating to high-energy weapon. Conclusions. Gunshot wound is a clinical challenge in many cases among patients who were injured by high-energy weapons, requiring complex and quick decisions. AI might be applied as an additional tool for the decision-making process in case of severe trauma in deployed field hospitals, or in hospitals of higher Roles (3-4). This study is to start the research discussion about the utility of AI application for the management of the injured in the war associated with high-energy weapons.
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Int Dent J
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Department of Restorative Dentistry, College of Dentistry, Ajman University, Ajman, United Arab Emirates; Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates.
Artificial intelligence (AI) holds immense promise in revolutionising dentistry, spanning, diagnostics, treatment planning and educational realms. This narrative review, in two parts, explores the fundamentals and the multifaceted potential of AI in dentistry. The current article explores the profound impact of AI in dentistry, encompassing diagnostic tools, treatment planning, and patient care.
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Department of Obstetrics and Gynecology, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi 329-0498, Japan; Department of Obstetrics and Gynecology, Koga Red Cross Hospital, 1150 Shimoyama, Koga, Ibaraki 306-0014, Japan; Medical Examination Center, Ibaraki Western Medical Center, 555 Otsuka, Chikusei, Ibaraki 308-0813, Japan. Electronic address:
J Gastroenterol Hepatol
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Department of Radiology, Yunnan Cancer Center, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
This review provides an in-depth exploration of the evolving role of immunotherapy in gastrointestinal (GI) cancers, with a particular focus on immune checkpoint inhibitors (ICIs) and their associated predictive biomarkers. We present a detailed analysis of established biomarkers, such as PD-L1, microsatellite instability (MSI), tumor mutational burden (TMB), and the tumor microenvironment (TME), as well as emerging biomarkers, including gut microbiota and Epstein-Barr virus (EBV). The predictive value of these biomarkers in guiding clinical decision-making and optimizing immunotherapy outcomes is thoroughly discussed.
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Division of Pulmonary, and Critical Care Medicine, Department of Internal Medicine, Pusan National University Hospital, Busan, Korea.
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