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The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.
Health Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFExploring the behavioural determinants of compliance in resilient high-caries-risk patients who improved caries severity.
BMC Psychol
December 2024
Department of Dentistry, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Background: The caries severity in childhood may predict caries conditions in the future and even in adulthood in caries risk models. Nevertheless, the rate of recurrent caries after treatment of severe early childhood caries is high and correlated with behavioural factors, rather than clinical indicators. Compliance with the caries control programme has been demonstrated to prevent root caries development in head and neck cancer patients, suggesting that compliance with treatment protocols is a more important key to bringing about successful outcomes than treatment protocols themselves.
View Article and Find Full Text PDFTraining and education in pharmacovigilance: The experience from the Pharmacovigilance Programme of India.
Indian J Pharmacol
September 2024
National Coordination Centre for Pharmacovigilance Programme of India, Indian Pharmacopoeia Commission, Ministry of Health and Family Welfare, Government of India.
For a robust Pharmacovigilance system in a country, training of healthcare professionals is of utmost importance. The training is the integral part of continual improvement in any quality management system. The present article describes the different training modules and experience from the Pharmacovigilance Programme of India (PvPI) and emphasizes that if training and education elements with special reference to pharmacovigilance are implemented for all concerned stakeholders in a healthcare system, the efficiency of deliverables will be improved and objectives of the organization can easily be achieved.
View Article and Find Full Text PDFComputer vision syndrome and associated factors among urban and rural bankers in Trinidad and Tobago.
PeerJ
December 2024
Department of Clinical Surgical Sciences, University of the West Indies St. Augustine, St Augustine Campus, Trinidad and Tobago.
Background: Modern workplace requirements in the banking sector require bankers to work on screens for more than 6 h a day, putting much stress and strain on their eyes, which leads to computer vision syndrome. Therefore, this study aimed to assess the prevalence of computer vision syndrome and associated factors among urban and rural bankers in Trinidad and Tobago.
Methods And Materials: A cross-sectional design was applied to collect data from 399 bankers between April and June 2023.
In Vivo Selection of S/MAR Sequences to Favour AAV Episomal Maintenance in Dividing Cells.
Int J Mol Sci
November 2024
Vivet Therapeutics S.L., 31008 Pamplona, Spain.
Adeno-associated viral (AAV) vector-mediated gene therapy has emerged as a promising alternative to liver transplantation for monogenic metabolic hepatic diseases. AAVs are non-integrative vectors that are maintained primarily as episomes in quiescent cells like adult hepatocytes. This quality, while advantageous from a safety perspective due to a decreased risk of insertional mutagenesis, becomes a disadvantage when treating dividing cells, as it inevitably leads to the loss of the therapeutic genome.
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