While generative artificial intelligence (AI) has been around for many years, it has only recently become available for use by the public. This powerful resource has changed the landscape for higher education and many instructors fear the negative effects it can have on academic integrity and student creativity in the writing process. However, it is certain that AI is here to stay, and it is crucial that educators embrace this technology and teach students to use this resource carefully and wisely. Communication is an essential component in nursing practice and cultivating competent writing skills is a vital aspect of nursing education. However, nursing students struggle with scholarly writing especially at the undergraduate level. Integrating generative artificial intelligence into a writing intensive course offers a unique approach to aid students in improving their writing. In this pilot project, students were given an assignment to actively engage with generative artificial intelligence and critically analyze the response using current nursing literature to support or refute the output. This assignment was used to springboard class discussion on advantages and disadvantages of using artificial intelligence for scholarly writing. This novel approach has the potential to build confidence and competence in novice writers which supports their success in nursing school and in clinical practice.
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http://dx.doi.org/10.1016/j.profnurs.2025.01.003 | DOI Listing |
Int Dent J
March 2025
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.
View Article and Find Full Text PDFJ Clin Neurosci
March 2025
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
March 2025
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.
View Article and Find Full Text PDFAcute Crit Care
February 2025
Division of Pulmonary, and Critical Care Medicine, Department of Internal Medicine, Pusan National University Hospital, Busan, Korea.
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