AIMC Topic: Artificial Intelligence

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Healthcare leaders' experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study.

BMC primary care
BACKGROUND: Artificial intelligence (AI) holds significant promise for enhancing the efficiency and safety of medical history-taking and triage within primary care. However, there remains a dearth of knowledge concerning the practical implementation ...

Disparities in medical recommendations from AI-based chatbots across different countries/regions.

Scientific reports
This study explores disparities and opportunities in healthcare information provided by AI chatbots. We focused on recommendations for adjuvant therapy in endometrial cancer, analyzing responses across four regions (Indonesia, Nigeria, Taiwan, USA) a...

NVIDIA's "Chat with RTX" Custom Large Language Model and Personalized AI Chatbot Augments the Value of Electronic Dermatology Reference Material.

JMIR dermatology
This paper demonstrates a new, promising method using generative artificial intelligence (AI) to augment the educational value of electronic textbooks and research papers (locally stored on user's machine) and maximize their potential for self-study,...

The Picasso's skepticism on computer science and the dawn of generative AI: questions after the answers to keep "machines-in-the-loop".

European radiology experimental
Starting from Picasso's quote ("Computers are useless. They can only give you answers"), we discuss the introduction of generative artificial intelligence (AI), including generative adversarial networks (GANs) and transformer-based architectures such...

The Application of Artificial Intelligence to Acoustic Data in Otolaryngology.

Otolaryngologic clinics of North America
Artificial intelligence (AI), particularly deep learning, has revolutionized various fields through its ability to model complex, noisy systems with high accuracy. Driven by advancements in deep neural networks (DNNs), hardware, and data digitization...

Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge.

Diagnostic and interventional imaging
PURPOSE: The purpose of the 2023 SFR data challenge was to invite researchers to develop artificial intelligence (AI) models to identify the presence of a pancreatic mass and distinguish between benign and malignant pancreatic masses on abdominal com...

ChatGPT and dermatology.

Italian journal of dermatology and venereology
Since the development of the artificial intelligence (AI), several applications have been proposed. Among these, the intersection of AI and medicine has sparked a wave of innovation, revolutionizing various aspects of healthcare delivery, diagnosis, ...

Implementation of Digital Pathology and Artificial Intelligence in Routine Pathology Practice.

Laboratory investigation; a journal of technical methods and pathology
The advent of affordable technology has significantly influenced the practice of digital pathology, leading to its growing adoption within the pathology community. This review article aimed to outline the latest developments in digital pathology, the...

Opportunities and shortcomings of AI for spatial epidemiology and health disparities research on aging and the life course.

Health & place
Established spatial and life course methods have helped epidemiologists and health and medical geographers study the impact of individual and area-level determinants on health disparities. While these methods are effective, the emergence of Geospatia...