AIMC Topic: Delivery of Health Care

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Exploring the Challenges and Opportunities of Implementing artificial intelligence in healthcare settings in Nepal: A literature review.

Kathmandu University medical journal (KUMJ)
Artificial intelligence (AI) has shown effectiveness in various industries, particularly within healthcare sectors. In Nepal, there are limited insights on existing studies regarding technical, financial, human resources, ethical and privacy related ...

Detection of Systemic Diseases From Ocular Images Using Artificial Intelligence: A Systematic Review.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
PURPOSE: Despite the huge investment in health care, there is still a lack of precise and easily accessible screening systems. With proven associations to many systemic diseases, the eye could potentially provide a credible perspective as a novel scr...

Improving Healthcare Cost, Quality, and Access Through Artificial Intelligence and Machine Learning Applications.

Journal of healthcare management / American College of Healthcare Executives
Since the early 1970s, technology has increasingly become integrated into the healthcare field. Today, artificial intelligence (AI) and machine learning (ML, a set of learning techniques used by AI) have the capacity to revolutionize the delivery of ...

Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis.

Journal of biomedical science
BACKGROUND: The emergence of Artificial Intelligence (AI), particularly Chat Generative Pre-Trained Transformer (ChatGPT), a Large Language Model (LLM), in healthcare promises to reshape patient care, clinical decision-making, and medical education. ...

Artificial intelligence in healthcare: A call for strategic implementation to maximize impact and minimize costs.

The Medical journal of Malaysia
Artificial Intelligence (AI) is transforming healthcare by improving diagnostics, decision-making, and patient outcomes. This commentary emphasizes the need for strategic AI implementation to maximize benefits while minimizing costs. Although AI can ...

Towards a Sociology of Healthcare Robots.

Sociology of health & illness
We propose a sociological approach to healthcare robots that emphasises the heterogeneous ethics of mutual labour and the complex definitions of care that emerge through robot design/deployment. This argument is the product of a narrative literature ...

Artificial Intelligence in Health Care: A Rallying Cry for Critical Clinical Research and Ethical Thinking.

Clinical oncology (Royal College of Radiologists (Great Britain))
Artificial intelligence (AI) will impact a large proportion of jobs in the short to medium term, especially in the developed countries. The consequences will be felt across many sectors including health care, a critical sector for implementation of A...

Bridging the gaps: Overcoming challenges of implementing AI in healthcare.

Med (New York, N.Y.)
Artificial intelligence (AI) in healthcare promises transformative advancements, from enhancing diagnostics to optimizing personalized treatments. Realizing its full potential, however, requires addressing key challenges, including explainability, bi...

The NAO Robot in Healthcare and Education: A Scoping Review.

Studies in health technology and informatics
Humanoid robots, designed to resemble the human form, are increasingly becoming an integral technology used in healthcare and education. This paper focuses on the NAO robot, which is engineered with advanced capabilities such as speech recognition, f...