Using ChatGPT to facilitate truly informed medical consent
Informed consent is integral to the practice of medicine. Most informed consent documents
are written at a reading level that surpasses the reading comprehension level of the average …
are written at a reading level that surpasses the reading comprehension level of the average …
[HTML][HTML] Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations
Generative artificial intelligence (AI) algorithms for both text-to-text and text-to-image
applications have seen rapid and widespread adoption in the general and medical …
applications have seen rapid and widespread adoption in the general and medical …
Gender bias in generative artificial intelligence text-to-image depiction of medical students
Introduction: In Australia, 54.3% of medical students are women yet they remain under-
represented in stereotypical perspectives of medicine. While potentially transformative …
represented in stereotypical perspectives of medicine. While potentially transformative …
A Comprehensive Survey of Foundation Models in Medicine
Foundation models (FMs) are large-scale deep-learning models trained on extensive
datasets using self-supervised techniques. These models serve as a base for various …
datasets using self-supervised techniques. These models serve as a base for various …
AI-Generated Images for Speech Pathology—An Exploratory Application to Aphasia Assessment and Intervention Materials
JE Pierce - American Journal of Speech-Language Pathology, 2024 - ASHA
Purpose: Images are a core component of aphasia assessment and intervention that require
significant resources to produce or source. Text-to-image generation is an Artificial …
significant resources to produce or source. Text-to-image generation is an Artificial …
The potential of chat-based artificial intelligence models in differentiating between keloid and hypertrophic scars: a pilot study
M Shiraishi, S Miyamoto, H Takeishi, D Kurita… - Aesthetic Plastic …, 2024 - Springer
Background Lasting scars such as keloids and hypertrophic scars adversely affect a
patient's quality of life. However, these scars are frequently underdiagnosed because of the …
patient's quality of life. However, these scars are frequently underdiagnosed because of the …
Gender Representation of Health Care Professionals in Large Language Model–Generated Stories
BD Menz, NM Kuderer, B Chin-Yee… - JAMA network …, 2024 - jamanetwork.com
Importance With the growing use of large language models (LLMs) in education and health
care settings, it is important to ensure that the information they generate is diverse and …
care settings, it is important to ensure that the information they generate is diverse and …
Gender and ethnicity bias of text-to-image generative artificial intelligence in medical imaging, part 1: preliminary evaluation
Generative artificial intelligence (AI) text-to-image production could reinforce or amplify
gender and ethnicity biases. Several text-to-image generative AI tools are used for …
gender and ethnicity biases. Several text-to-image generative AI tools are used for …
Gender bias in images of anaesthesiologists generated by artificial intelligence
M Gisselbaek, E Köselerli, M Suppan… - British journal of …, 2024 - bjanaesthesia.org
EditordArtificial intelligence (AI) is the exploration of algorithms that empower machines to
engage in reasoning and execute tasks, such as problem-solving, object and word …
engage in reasoning and execute tasks, such as problem-solving, object and word …
Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3
Disparity among gender and ethnicity remains an issue across medicine and health science.
Only 26%–35% of trainee radiologists are female, despite more than 50% of medical …
Only 26%–35% of trainee radiologists are female, despite more than 50% of medical …