Large language models in medicine

AJ Thirunavukarasu, DSJ Ting, K Elangovan… - Nature medicine, 2023 - nature.com
Large language models (LLMs) can respond to free-text queries without being specifically
trained in the task in question, causing excitement and concern about their use in healthcare …

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

AS Albahri, AM Duhaim, MA Fadhel, A Alnoor… - Information …, 2023 - Elsevier
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …

What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education

A Tlili, B Shehata, MA Adarkwah, A Bozkurt… - Smart learning …, 2023 - Springer
Artificial Intelligence (AI) technologies have been progressing constantly and being more
visible in different aspects of our lives. One recent phenomenon is ChatGPT, a chatbot with a …

[HTML][HTML] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

S Ali, T Abuhmed, S El-Sappagh, K Muhammad… - Information fusion, 2023 - Elsevier
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

Trustllm: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

[HTML][HTML] Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

SE Bibri, J Krogstie, A Kaboli, A Alahi - Environmental Science and …, 2024 - Elsevier
The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …

[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

N Díaz-Rodríguez, J Del Ser, M Coeckelbergh… - Information …, 2023 - Elsevier
Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

HW Loh, CP Ooi, S Seoni, PD Barua, F Molinari… - Computer Methods and …, 2022 - Elsevier
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …

Driving with llms: Fusing object-level vector modality for explainable autonomous driving

L Chen, O Sinavski, J Hünermann… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have shown promise in the autonomous driving sector,
particularly in generalization and interpretability. We introduce a unique objectlevel …

Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges

A Aldoseri, KN Al-Khalifa, AM Hamouda - Applied Sciences, 2023 - mdpi.com
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …