AIMC Topic: Delivery of Health Care

Clear Filters Showing 1131 to 1140 of 1609 articles

Leveraging big data in health care and public health for AI driven talent development in rural areas.

Frontiers in public health
INTRODUCTION: This study proposes a novel Transformer-based approach to enhance talent attraction and retention strategies in rural public health systems. Motivated by the persistent shortage of skilled professionals in underserved areas and the limi...

Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders.

Frontiers in public health
INTRODUCTION: The rapid advancement of Artificial Intelligence (AI)-driven recommendation systems in healthcare presents significant economic implications, particularly in the context of neurological disorders. These systems offer opportunities to en...

Investigating the Key Trends in Applying Artificial Intelligence to Health Technologies: A Scoping Review.

PloS one
BACKGROUND: The use of Artificial Intelligence (AI) is exponentially rising in the healthcare sector. This change influences various domains of early identification, diagnosis, and treatment of diseases.

Approaches for handling imbalanced data used in machine learning in the healthcare field: A case study on Chagas disease database prediction.

PloS one
Machine learning has increasingly gained prominence in the healthcare sector due to its ability to address various challenges. However, a significant issue remains unresolved in this field: the handling of imbalanced data. This process is crucial for...

HCAP: Hybrid cyber attack prediction model for securing healthcare applications.

PloS one
The rapid development and integration of interconnected healthcare devices and communication networks within the Internet of Medical Things (IoMT) have significantly enhanced healthcare services. However, this growth has also introduced new vulnerabi...

Digital transformation in healthcare management: from Artificial Intelligence to blockchain.

Wiadomosci lekarskie (Warsaw, Poland : 1960)
The digital transformation of healthcare is revolutionizing the management of medical institutions, improving operational efficiency, patient outcomes, and data security. With the increasing complexity of healthcare systems, the integration of cuttin...

Looking Forward to AI and Medicine: Where Are We, and Where Are We Going?

Missouri medicine
Artificial intelligence (AI) has emerged as a significant area of interest in medicine, with the potential to influence various aspects of health care. However, the real benefits of applications of AI to medicine often become obscured by the consider...

Advancements of AI in healthcare: a comprehensive review of ChatGPT's applications and challenges.

JPMA. The Journal of the Pakistan Medical Association
The rapid integration of artificial intelligence into healthcare has introduced transformative possibilities and challenges. The current narrative review was planned to explore diverse applications of Chat Generative Pre-Trained Transformer (ChatGPT)...

AI in Point-of-Care - A Sustainable Healthcare Revolution at the Edge.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
This paper examines the integration of artificial intelligence (AI) in point-of-care testing (POCT) to enhance diagnostic speed, accuracy, and accessibility, particularly in underserved regions. AI-driven POCT is shown to optimize clinical decision-m...

Transforming Cancer Care: The Impact of AI-driven Strategies.

Current cancer drug targets
AI is a critical component in healthcare, especially in the application of precision medicine where patients' characteristics, including genetic makeup, determine the treatment options that should be implemented. AI sorts big data, predicting people'...