[HTML][HTML] Pilot testing of a tool to standardize the assessment of the quality of health information generated by artificial intelligence-based models

M Sallam, M Barakat, M Sallam - Cureus, 2023 - ncbi.nlm.nih.gov
Background Artificial intelligence (AI)-based conversational models, such as Chat
Generative Pre-trained Transformer (ChatGPT), Microsoft Bing, and Google Bard, have …

[HTML][HTML] A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care …

M Sallam, M Barakat, M Sallam - Interactive Journal of Medical Research, 2024 - i-jmr.org
Background: Adherence to evidence-based practice is indispensable in health care.
Recently, the utility of generative artificial intelligence (AI) models in health care has been …

Evaluating ChatGPT performance in Arabic dialects: A comparative study showing defects in responding to Jordanian and Tunisian general health prompts

M Sallam, D Mousa - Mesopotamian Journal of …, 2024 - journals.mesopotamian.press
Background: The role of artificial intelligence (AI) is increasingly recognized to enhance
digital health literacy. There is of particular importance with widespread availability and …

[HTML][HTML] The QUEST for quality online health information: validation of a short quantitative tool

JM Robillard, JH Jun, JA Lai, TL Feng - BMC medical informatics and …, 2018 - Springer
Background Online health information is unregulated and can be of highly variable quality.
There is currently no singular quantitative tool that has undergone a validation process, can …

[HTML][HTML] ChatGPT performance in diagnostic clinical microbiology laboratory-oriented case scenarios

M Sallam, K Al-Salahat, E Al-Ajlouni - Cureus, 2023 - ncbi.nlm.nih.gov
Background: Artificial intelligence (AI)-based tools can reshape healthcare practice. This
includes ChatGPT which is considered among the most popular AI-based conversational …

Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research

MD McCradden, T Sarker, PA Paprica - BMJ open, 2020 - bmjopen.bmj.com
Objectives Given widespread interest in applying artificial intelligence (AI) to health data to
improve patient care and health system efficiency, there is a need to understand the …

[HTML][HTML] Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI

M Abbasian, E Khatibi, I Azimi, D Oniani… - NPJ Digital …, 2024 - nature.com
Abstract Generative Artificial Intelligence is set to revolutionize healthcare delivery by
transforming traditional patient care into a more personalized, efficient, and proactive …

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review

SN Payrovnaziri, Z Chen… - Journal of the …, 2020 - academic.oup.com
Objective To conduct a systematic scoping review of explainable artificial intelligence (XAI)
models that use real-world electronic health record data, categorize these techniques …

Evaluating artificial intelligence responses to public health questions

JW Ayers, Z Zhu, A Poliak, EC Leas… - JAMA network …, 2023 - jamanetwork.com
Evaluating Artificial Intelligence Responses to Public Health Questions | Public Health | JAMA
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[HTML][HTML] Artificial intelligence-based conversational agents for chronic conditions: systematic literature review

T Schachner, R Keller, F v Wangenheim - Journal of medical Internet …, 2020 - jmir.org
Background A rising number of conversational agents or chatbots are equipped with artificial
intelligence (AI) architecture. They are increasingly prevalent in health care applications …