AIMC Topic: Artificial Intelligence
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Searching for Value Sensitive Design in Applied Health AI: A Narrative Review.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVE: Recent advances in the implementation of healthcare artificial intelligence (AI) have drawn attention toward design methods to address the impacts on workflow. Lesser known than human-centered design, Value Sensitive Design (VSD) is an est...
Safety and Precision AI for a Modern Digital Health System.
Yearbook of medical informatics
Apr 8, 2025
Artificial intelligence (AI) promises to revolutionize healthcare. Currently there is a proliferation of new AI applications that are being developed and beginning to be deployed across many areas in healthcare to streamline and make healthcare proce...
Workload of diagnostic radiologists in the foreseeable future based on recent (2024) scientific advances: Updated growth expectations.
European journal of radiology
Apr 7, 2025
PURPOSE: To assess the expected impact of the 2024 medical imaging literature on the workload of diagnostic radiologists.
2D Piezo-Ferro-Opto-Electronic Artificial Synapse for Bio-Inspired Multimodal Sensory Integration.
Advanced materials (Deerfield Beach, Fla.)
Apr 7, 2025
Multimodal sensory integration is vital for the evolution of artificial intelligence, yet current approaches often rely on physically connecting distinct sensing units (such as visual and tactile devices) through external circuits, leading to data tr...
Synthetic Data in Healthcare and Drug Development: Definitions, Regulatory Frameworks, Issues.
CPT: pharmacometrics & systems pharmacology
Apr 7, 2025
With the recent and evolving regulatory frameworks regarding the usage of Artificial Intelligence (AI) in both drug and medical device development, the differentiation between data derived from observed ('true' or 'real') sources and artificial data ...
Artificial intelligence strategies based on random forests for detection of AI-generated content in public health.
Public health
Apr 7, 2025
OBJECTIVES: To train and test a Random Forest machine learning model with the ability to distinguish AI-generated from human-generated textual content in the domain of public health, and public health policy.
An integrated AI knowledge graph framework of bacterial enzymology and metabolism.
Proceedings of the National Academy of Sciences of the United States of America
Apr 7, 2025
The study of bacterial metabolism holds immense significance for improving human health and advancing agricultural practices. The prospective applications of genomically encoded bacterial metabolism present a compelling opportunity, particularly in t...
Supporting Speech-Language Pathologists in Schools With Interdisciplinary Team Science: A Viewpoint From the National Artificial Intelligence Institute for Exceptional Education.
Language, speech, and hearing services in schools
Apr 7, 2025
PURPOSE: Complex scientific problems, including those facing the discipline of communication sciences and disorders (CSD), require interdisciplinary teams of scientists who bring diverse perspectives, knowledge, and skills. According to a recent surv...
Can off-the-shelf visual large language models detect and diagnose ocular diseases from retinal photographs?
BMJ open ophthalmology
Apr 7, 2025
BACKGROUND: The advent of generative artificial intelligence has led to the emergence of multiple vision large language models (VLLMs). This study aimed to evaluate the capabilities of commonly available VLLMs, such as OpenAI's GPT-4V and Google's Ge...
Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study.
JMIR research protocols
Apr 7, 2025
BACKGROUND: Relisten is an artificial intelligence (AI)-based software developed by Recog Analytics that improves patient care by facilitating more natural interactions between health care professionals and patients. This tool extracts relevant infor...
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