Top Research Papers on AI in Healthcare

In these examples, researchers in public health, medicine, and social science as well as engineers will find a path to start interdisciplinary collaborations in health applications of AI/IE/OR.

The current and future impact of artificial intelligence (AI) technologies on healthcare is discussed and multiple AI systems for the brain, heart, lung, prostate, and musculoskeletal disease are introduced.

This work goes over AI applications in stroke in more depth, focusing on the three key areas of early detection and diagnosis, as well as outcome prediction and prognosis analysis.

Abstract not available KYAMC Journal Vol. 11, No.-4, January 2021, Page 164-165

An in-depth examination of how artificial intelligence is utilized in the healthcare sector with a primary emphasis on understanding the profound influence it has in areas such as disease diagnosis, personalized medicine, and the optimization of patient care is offered.

Artificial Intelligence is the ever-evolving science and engineering of mimicking human intelligence involving mechanisms that operates more like a human brain, also called Artificial General Intelligence.

It is demonstrated that artificial intelligence is being used in all domains of life and particularly in the field of healthcare, with a focus on recent advents in the technology of Artificial Intelligence.

Abstract: This research paper offers an in-depth examination of how artificial intelligence (AI) is utilized in the healthcare sector. The primary emphasis is on understanding the profound influence it has in areas such as disease diagnosis, personalized medicine, and the optimization of patient care.

Artificial Intelligence (Al) has emerged as a transformative force in various fields, and its potential in medicine is particularly remarkable. The application of Al in healthcare holds immense promise, as it has the ability to revolutionise medical practice and the delivery of healthcare services. Over the past decade, Al has made significant strides in numerous medical specialties, presenting opportunities to enhance patient care, diagnostics, personalised treatment plans, and administrative processes within healthcare organisations. However, despite the tremendous opportunities presented by...

This paper analyses how AI technology breaks through the imbalance between the supply and demand of medical resources, reduces the misdiagnosis rate, and promotes scientific medical decision-making.

The article demonstrates that the development of artificial intelligence in healthcare involves some risks and problems — artificial intelligence systems expose patients to the risk of injury, and patient data for use in artificial intelligence systems involve the risk of privacy invasion.

The present structures are largely fit to deal with the challenge of artificial intelligence are present and it is discussed clearly about the artificial intelligence contribution to the present health care.

It was determined that AI plays a crucial role in medical decision-making, especially predictive analytics when it comes to diagnosing and treating patients and managing health services in general.

This paper gives an outline of the current and not so distant future uses of Artificial Intelligence (AI) in Medicine and Health Care and presents a characterization as per their moral and cultural viewpoints, likely advantages and entanglements, and issues that can be viewed as questionable and are not profoundly talked about in the writing.

Al has made significant strides in numerous medical specialties, presenting opportunities to enhance patient care, diagnostics, personalised treatment plans, and administrative processes within healthcare organisations, but there are also significant challenges to overcome.

A significant Artificial intelligence use case in healthcare is the use of machine learning for medical diagnosis purposes, using patient data and other information, which can provide more accurate diagnoses and treatment plans.

The existing and upcoming applications of AI in healthcare are reviewed, with respect to various disciplines, to help clinicians and researchers appraise the current state of the utilization ofAI in healthcare and guide future research.

Artificial intelligence when applied in health care resulted in intelligent support to decision-making, optimised business processes, increased quality, monitoring and delivering of personalised treatment plans and many other applications.

Overall, this research paper demonstrates that AI has the potential to transform medical research and improve patient outcomes, but requires careful consideration of ethical and regulatory issues to ensure its safe and effective integration into clinical practice.

Artificial intelligence enlightens to analyze the relation between prevention and treatment and patient outcomes in all stages of diagnosis, treatment, drug development and monitoring, personalized medicine, patient control and care.