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What Is the Current Status of Research on the Impact of Digitalization in Medicine? A Bibliometric Analysis.
Healthcare (Basel)
January 2025
Department of Finance, Banking and Economic Analysis, Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania.
This study conducts a bibliometric analysis to map key trends in the digitalization of medicine, a rapidly evolving field that incorporates advancements such as artificial intelligence, telemedicine, and Big Data. The analysis aims to identify the most prolific authors, highly cited works, leading countries, and contributions from research institutions, while also exploring emerging trends through keyword analysis. A dataset comprising 2606 scientific papers was retrieved from the Web of Science database.
View Article and Find Full Text PDFCurrent trends in pain management: A bibliometric analysis for the 1980-to-2023 period.
Medicine (Baltimore)
January 2025
Department of Family Medicine, Mimar Sinan Family Health Center, Çorum, Turkey.
There is currently no bibliometric analysis available regarding pain management (PM). The aim of this study was to monitor the advancement of the PM research field, demonstrate global productivity, identify the most highly cited studies, delineate collaborations between research areas and countries, and uncover new research topics and intriguing trends. A total of 16,216 articles on the subject of PM published between 1980 and 2023 were downloaded from the Web of Science database and analyzed using various bibliometric analysis methods.
View Article and Find Full Text PDFOpenAI's Sora and Google's Veo 2 in Action: A Narrative Review of Artificial Intelligence-driven Video Generation Models Transforming Healthcare.
Cureus
January 2025
Otolaryngology-Head and Neck Surgery, College of Medicine, King Saud University, Riyadh, SAU.
The rapid evolution of generative artificial intelligence (AI) has introduced transformative technologies across various domains, with text-to-video (T2V) generation models emerging as transformative innovations in the field. This narrative review explores the potential of T2V AI generation models used in healthcare, focusing on their applications, challenges, and future directions. Advanced T2V platforms, such as Sora Turbo (OpenAI, Inc.
View Article and Find Full Text PDFMobile Health for Obsessive-Compulsive Disorder: Patients' Preferences and Perception of Patient-Centeredness.
Actas Esp Psiquiatr
January 2025
Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal; Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, 3000-548 Coimbra, Portugal; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, 3000-548 Coimbra, Portugal; Department of Psychiatry, Coimbra Hospital and University Centre, 3004-561 Coimbra, Portugal.
Background: The increasingly fast development of mobile health technologies holds significant value for individuals dealing with mental health conditions. However, inadequate consideration of patients' preferences and expectations undermines real-world outcomes, including sustained adherence. Driven by the belief that specific characteristics, such as youth and higher education, of individuals with obsessive-compulsive disorder make them suitable for digital adoption, we investigated mHealth-related desirability factors within this patient group.
View Article and Find Full Text PDFPopulation Studies and Molecular Mechanisms of Human Radioadaptive Capabilities: Is It Time to Rethink Radiation Safety Standards?
Int J Mol Sci
December 2024
Department of Regenerative Medicine, National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, 249036 Obninsk, Russia.
The evolution of man on Earth took place under conditions of constant exposure to background ionizing radiation (IR). From this point of view, it would be reasonable to hypothesize the existence of adaptive mechanisms that enable the human organism to safely interact with IR at levels approximating long-term natural background levels. In some situations, the successful operation of molecular mechanisms of protection against IR is observed at values significantly exceeding the natural background level, for example, in cancer cells.
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