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Articles 1 - 6 of 6
Full-Text Articles in Medicine and Health Sciences
The Future Of Nursing Leadership: Incorporating E-Learned Artificial Intelligence (Ai) Pathways With A Precautionary Focus On Patient-Centered-Care, Jamie Anne Marcus Dr., Bonnette Villalba Webb
The Future Of Nursing Leadership: Incorporating E-Learned Artificial Intelligence (Ai) Pathways With A Precautionary Focus On Patient-Centered-Care, Jamie Anne Marcus Dr., Bonnette Villalba Webb
FDLA Journal
Artificial Intelligence (AI) is a data-driven mathematical process that incorporates machine-based-logic, usually in the form of algorithms. Education, training, and competencies are now conducted through virtual reality, robotics, simulation, and technology learning-based-platforms by healthcare organizations. This represents a significant change in the future of nursing practice. The adaptability of technology-based-learning platforms can impact the quality and efficiency of learning for some of the workforce population. Nurses' perception of technology and AI-driven nursing practice may vary based on generational orientation and can be a potential barrier to learning, practicing, and adaptability of this framework. The forging of well-trained resilient nurse leaders …
Blockchain Technology Applied In Medicine: A Systematic Review, Christian Jairo Tinoco Plasencia
Blockchain Technology Applied In Medicine: A Systematic Review, Christian Jairo Tinoco Plasencia
Revista de la Facultad de Medicina Humana
Objective: Develop an articles review to evaluate the existing evidence on blockchain technology applied in medicine. Methods: The study was of a documentary type, bibliographic design, framed in a systematic review. The harvest of articles was carried out in the Scopus, Web of Sciences, Pro Quest and ScienceDirect databases from January 1, 2018 to July 31, 2023. The descriptors were blockchain, technology and medicine. The PRISMA diagram was prepared considering the inclusion criteria: original articles, with open access; that address the subject and in any language. The search yielded 70 articles, of which 11 formed the sample. Results: The various …
Unveiling The Potential: The Role Of Ai-Enhanced Ecg In Cardiovascular Disease Detection, Alisha Vincent
Unveiling The Potential: The Role Of Ai-Enhanced Ecg In Cardiovascular Disease Detection, Alisha Vincent
Rowan-Virtua Research Day
Background: The Electrocardiogram (ECG) is a widely utilized, non-invasive, cost-effective cardiac test. Its integration with Artificial Intelligence (AI) has empowered it to become a potent screening tool and a predictor for various cardiovascular diseases, especially in asymptomatic individuals. Objective: This review investigates the utility of AI-powered ECG in early detection of cardiac conditions, focusing on conditions such as low ejection fraction (LEF), atrial fibrillation (AF), aortic valve stenosis (AVS), and cardiac amyloidosis (CA). Methods: A literature review spanning 2018 to 2024 was conducted, analyzing 10 articles - 3 on AF, 3 on AVS, 3 on LEF, and …
“The Role Of Artificial Intelligence In The Pharmaceutical Field: Enhancing Therapeutic Outcomes And Repurposing Through The Acceleration Of Drug Discovery”, Tonivie Valeriano
“The Role Of Artificial Intelligence In The Pharmaceutical Field: Enhancing Therapeutic Outcomes And Repurposing Through The Acceleration Of Drug Discovery”, Tonivie Valeriano
Belmont University Research Symposium (BURS)
The development of new drugs and their repurposing have considerably benefited the field of pharmacy. It will not only affect the pharmaceutical sector but also its diverse facets of health will be significantly influenced. Yet, the development of innovative medical treatments necessitated a lengthy period of expectancy for human survival. Individual survival rates were decreasing over time before the development of the treatment. Humanity has a limited lifespan. Moreover, investments in new drugs often go unnoticed because of the prolonged and complex process of drug research and development (R&D). In the future of pharmacy, artificial intelligence will continue to have …
Public Acceptance Of Using Artificial Intelligence-Assisted Weight Management Apps In High-Income Southeast Asian Adults With Overweight And Obesity: A Cross-Sectional Study, Han Shi Jocelyn Chew, Palakorn Achananuparp, Palakorn Achananuparp, Nicholas W. S. Chew, Yip Han Chin, Yujia Gao, Bok Yan Jimmy So, Asim Shabbir, Ee-Peng Lim, Kee Yuan Ngiam
Public Acceptance Of Using Artificial Intelligence-Assisted Weight Management Apps In High-Income Southeast Asian Adults With Overweight And Obesity: A Cross-Sectional Study, Han Shi Jocelyn Chew, Palakorn Achananuparp, Palakorn Achananuparp, Nicholas W. S. Chew, Yip Han Chin, Yujia Gao, Bok Yan Jimmy So, Asim Shabbir, Ee-Peng Lim, Kee Yuan Ngiam
Research Collection School Of Computing and Information Systems
Introduction: With in increase in interest to incorporate artificial intelligence (AI) into weight management programs, we aimed to examine user perceptions of AI-based mobile apps for weight management in adults with overweight and obesity. Methods: 280 participants were recruited between May and November 2022. Participants completed a questionnaire on sociodemographic profiles, Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), and Self-Regulation of Eating Behavior Questionnaire. Structural equation modeling was performed using R. Model fit was tested using maximum-likelihood generalized unweighted least squares. Associations between influencing factors were analyzed using correlation and linear regression. Results: 271 participant responses were …
Infusing Machine Learning And Computational Linguistics Into Clinical Notes, Funke V. Alabi, Onyeka Omose, Omotomilola Jegede
Infusing Machine Learning And Computational Linguistics Into Clinical Notes, Funke V. Alabi, Onyeka Omose, Omotomilola Jegede
Mathematics & Statistics Faculty Publications
Entering free-form text notes into Electronic Health Records (EHR) systems takes a lot of time from clinicians. A large portion of this paper work is viewed as a burden, which cuts into the amount of time doctors spend with patients and increases the risk of burnout. We will see how machine learning and computational linguistics can be infused in the processing of taking clinical notes. We are presenting a new language modeling task that predicts the content of notes conditioned on historical data from a patient's medical record, such as patient demographics, lab results, medications, and previous notes, with the …