[HTML][HTML] ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model

H Huang, O Zheng, D Wang, J Yin, Z Wang… - International Journal of …, 2023 - nature.com
The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-
4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with …

The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things

S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …

How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective

Z Wu, S Xuan, J Xie, C Lin, C Lu - Computers in biology and medicine, 2022 - Elsevier
From a technical perspective, for electronic medical records (EMR), this paper proposes an
effective confidential management solution on the cloud, whose basic idea is to deploy a …

Multi-disease prediction based on deep learning: a survey

S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

[HTML][HTML] Integrated multimodal artificial intelligence framework for healthcare applications

LR Soenksen, Y Ma, C Zeng, L Boussioux… - NPJ digital …, 2022 - nature.com
Artificial intelligence (AI) systems hold great promise to improve healthcare over the next
decades. Specifically, AI systems leveraging multiple data sources and input modalities are …

A new machine learning technique for an accurate diagnosis of coronary artery disease

M Abdar, W Książek, UR Acharya, RS Tan… - Computer methods and …, 2019 - Elsevier
Background and objective Coronary artery disease (CAD) is one of the commonest diseases
around the world. An early and accurate diagnosis of CAD allows a timely administration of …

Challenges and opportunities beyond structured data in analysis of electronic health records

M Tayefi, P Ngo, T Chomutare… - Wiley …, 2021 - Wiley Online Library
Electronic health records (EHR) contain a lot of valuable information about individual
patients and the whole population. Besides structured data, unstructured data in EHRs can …

[HTML][HTML] Integration strategy of network pharmacology in Traditional Chinese Medicine: a narrative review

WU Jiashuo, F ZHANG, LI Zhuangzhuang… - Journal of Traditional …, 2022 - ncbi.nlm.nih.gov
Abstract Traditional Chinese Medicine (TCM) has been extensively used as a mainstay for
treating various pathologies. Combing the pharmacology and systems biology approaches …

[HTML][HTML] Information extraction from electronic medical documents: state of the art and future research directions

MY Landolsi, L Hlaoua, L Ben Romdhane - Knowledge and Information …, 2023 - Springer
In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …

Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions

Z Wang, W Yang, Q Liu, Y Zhao, P Liu, D Wu… - Journal of Manufacturing …, 2022 - Elsevier
A thorough understanding of complex process-structure-property (PSP) relationships in
additive manufacturing (AM) has long been pursued due to its paramount importance in …