https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285156/
Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare. In this review article, we outline recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective, reliable and safe AI

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455458/
Artificial Intelligence (AI) has emerged as a transformative technology with immense potential in the field of medicine. By leveraging machine learning and deep learning, AI can assist in diagnosis, treatment selection, and patient monitoring, enabling more accurate and efficient healthcare delivery. The widespread implementation of AI in

https://www.coursera.org/articles/ai-in-health-care
Here are some of the most common applications of AI in the field today: Health care analytics: ML algorithms are trained using historical data to produce insights, improve decision-making, and optimize health outcomes. Precision medicine: AI is used to produce personalized treatment plans for patients that take into account such factors as

https://www.who.int/news/item/28-06-2021-who-issues-first-global-report-on-ai-in-health-and-six-guiding-principles-for-its-design-and-use
Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance published today. The report, Ethics and governance of artificial intelligence for health, is the result of 2 years of consultations held by a panel of

https://www.nature.com/articles/s41746-024-01097-6
Artificial intelligence (AI) has the potential to transform care delivery by improving health outcomes, patient safety, and the affordability and accessibility of high-quality care. AI will be

https://journals.sagepub.com/doi/full/10.1177/20552076231186520
The advancements in artificial intelligence (AI) have provided a wealth of opportunities for clinical practice and healthcare. Large language models (LLMs), such as BERT, GPT, and LaMDA have experienced exponential growth, with some now containing over a trillion parameters. 1 This growth in AI capabilities allows for seamless integration between different types of data and has led to

https://www.nejm.org/ai-in-medicine
Artificial Intelligence in Medicine. A.L. Beam and OthersN Engl J Med 2023;388:1220-1221. The editors announce both a series of articles focusing on AI and machine learning in health care and the

https://www.nature.com/articles/s41551-018-0305-z
Abstract. Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications

https://www.nature.com/articles/s41591-021-01614-0
Abstract. Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. We discuss key findings from a 2-year weekly

https://www.ibm.com/think/insights/ai-healthcare-benefits
AI can help providers gather that information, store, and analyze it, and provide data-driven insights from vast numbers of people. Using this information can help healthcare professionals determine how to better treat and manage diseases. Organizations are also starting to use AI to help improve drug safety.

https://www.sciencedirect.com/science/article/pii/S2095809919301535
1. Introduction. Artificial intelligence (AI) is defined as the intelligence of machines, as opposed to the intelligence of humans or other living species [1], [2].AI can also be defined as the study of "intelligent agents"—that is, any agent or device that can perceive and understand its surroundings and accordingly take appropriate action to maximize its chances of achieving its

https://pubmed.ncbi.nlm.nih.gov/31015651/
Abstract. Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts. In this Review Article, we outline recent breakthroughs

https://www.philips.com/a-w/about/news/archive/features/2022/20221124-10-real-world-examples-of-ai-in-healthcare.html
Here are 10 real-world examples of AI in healthcare, showing how it can enhance experiences for patients and staff alike. 1. Improving precision in patient positioning and CT image reconstruction. Radiology departments continue to face challenges in terms of increasing patient volumes and ensuring consistency in image quality, while at the same

https://mcpress.mayoclinic.org/healthy-aging/ai-in-healthcare-the-future-of-patient-care-and-health-management/
A report from the National Academy of Medicine identified three potential benefits of AI in healthcare: improving outcomes for both patients and clinical teams, lowering healthcare costs, and benefitting population health. From preventive screenings to diagnosis and treatment, AI is being used throughout the continuum of care today.

https://pubmed.ncbi.nlm.nih.gov/34286183/
Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare. In this review article, we outline recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective, reliable and safe AI

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616181/
The potential for artificial intelligence in healthcare. The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01488-9
Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, including accounting, business and management, decision sciences and health professions. The structured literature review with its reliable and replicable research protocol allowed the

https://pubmed.ncbi.nlm.nih.gov/29507784/
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of

https://builtin.com/artificial-intelligence/artificial-intelligence-healthcare
Examples of AI in Healthcare. To give you a better understanding of the rapidly evolving field, we rounded up some examples and use cases of AI in healthcare. AI in Medical Diagnosis. Every year, roughly 400,000 hospitalized patients suffer preventable harm, with 100,000 deaths. In light of that, the promise of improving the diagnostic process

https://en.wikipedia.org/wiki/Artificial_intelligence_in_healthcare
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. Specifically, AI is the ability of computer algorithms to arrive at approximate conclusions based

https://www.gao.gov/products/gao-21-7sp
What GAO Found. Artificial Intelligence (AI) tools have shown promise for augmenting patient care in the following two areas: Clinical AI tools have shown promise in predicting health trajectories of patients, recommending treatments, guiding surgical care, monitoring patients, and supporting population health management (i.e., efforts to improve the health outcomes of a community).

https://journals.sagepub.com/doi/full/10.1177/0840470419873123
Artificial Intelligence (AI) is evolving rapidly in healthcare due to its potential to unlock the power of big data and gain insight for supporting evidence-based clinical decision-making and achieving value-based care.

https://online.stanford.edu/programs/artificial-intelligence-healthcare
Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet