Leveraging generative AI and large language models: a comprehensive roadmap for healthcare integration

P Yu, H Xu, X Hu, C Deng - Healthcare, 2023 - mdpi.com
Generative artificial intelligence (AI) and large language models (LLMs), exemplified by
ChatGPT, are promising for revolutionizing data and information management in healthcare …

[HTML][HTML] Large language models in healthcare and medical domain: A review

ZA Nazi, W Peng - Informatics, 2024 - mdpi.com
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

Auditing large language models: a three-layered approach

J Mökander, J Schuett, HR Kirk, L Floridi - AI and Ethics, 2024 - Springer
Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …

Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends

A Ucar, M Karakose, N Kırımça - Applied Sciences, 2024 - mdpi.com
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

A review of current trends, techniques, and challenges in large language models (llms)

R Patil, V Gudivada - Applied Sciences, 2024 - mdpi.com
Natural language processing (NLP) has significantly transformed in the last decade,
especially in the field of language modeling. Large language models (LLMs) have achieved …

Genegpt: Augmenting large language models with domain tools for improved access to biomedical information

Q **, Y Yang, Q Chen, Z Lu - Bioinformatics, 2024 - academic.oup.com
Motivation While large language models (LLMs) have been successfully applied to various
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …

[HTML][HTML] Effects of generative chatbots in higher education

G Ilieva, T Yankova, S Klisarova-Belcheva, A Dimitrov… - Information, 2023 - mdpi.com
Learning technologies often do not meet the university requirements for learner engagement
via interactivity and real-time feedback. In addition to the challenge of providing …

Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing

Y He, X Zhou, C Chang, G Chen, W Liu, G Li, X Fan… - Molecular Cell, 2024 - cell.com
Current base editors (BEs) use DNA deaminases, including cytidine deaminase in cytidine
BE (CBE) or adenine deaminase in adenine BE (ABE), to facilitate transition nucleotide …