AIMC Topic: Diffusion of Innovation
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Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2025
IMPORTANCE: The US healthcare system faces significant challenges, including clinician burnout, operational inefficiencies, and concerns about patient safety. Artificial intelligence (AI), particularly generative AI, has the potential to address thes...
The long journey of artificial intelligence in medicine: an overview.
Clinical and experimental rheumatology
May 1, 2025
Artificial intelligence (AI) has its roots in the history of philosophy and of applied mathematics of the 17th, 18th and 19th centuries. Throughout the 20th century, significant advancements in mathematics and computer science laid the groundwork for...
Innovation Diffusion Across 13 Specialties and Associated Clinician Characteristics.
Advances in health care management
Feb 7, 2024
Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new t...
Will Generative Artificial Intelligence Deliver on Its Promise in Health Care?
JAMA
Jan 2, 2024
IMPORTANCE: Since the introduction of ChatGPT in late 2022, generative artificial intelligence (genAI) has elicited enormous enthusiasm and serious concerns.
Updates in deep learning research in ophthalmology.
Clinical science (London, England : 1979)
Oct 29, 2021
Ophthalmology has been one of the early adopters of artificial intelligence (AI) within the medical field. Deep learning (DL), in particular, has garnered significant attention due to the availability of large amounts of data and digitized ocular ima...
Gaps in standards for integrating artificial intelligence technologies into ophthalmic practice.
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: The purpose of this review is to provide an overview of healthcare standards and their relevance to multiple ophthalmic workflows, with a specific emphasis on describing gaps in standards development needed for improved integration...
'Rise of the machines': the next frontier in individualized medicine.
Cardiovascular research
Aug 29, 2021
Machine Learning and Artificial Intelligence for Surgical Decision Making.
Surgical infections
Aug 1, 2021
The use of machine learning (ML) and artificial intelligence (AI) in medical research continues to grow as the amount and availability of clinical data expands. These techniques allow complex interpretation of data and capture non-linear relations n...
Consensus vision.
Fertility and sterility
Jul 1, 2021
The goal of this Views and Interviews series was to bring together the thought leaders in the field and envision what the laboratory will look like in the future. This consensus piece strives to take the thoughts of those leaders and develop themes a...
Artificial Intelligence-Assisted Surgical Quality Assessment: Hype or Hope?
Journal of the American College of Surgeons
Jun 1, 2021
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