AIMC Topic: Information Storage and Retrieval

Clear Filters Showing 61 to 70 of 714 articles

Methods for using Bing's AI-powered search engine for data extraction for a systematic review.

Research synthesis methods
Data extraction is a time-consuming and resource-intensive task in the systematic review process. Natural language processing (NLP) artificial intelligence (AI) techniques have the potential to automate data extraction saving time and resources, acce...

Interactive Healthcare Robot Using Attention-Based Question-Answer Retrieval and Medical Entity Extraction Models.

IEEE journal of biomedical and health informatics
In healthcare facilities, answering the questions from the patients and their companions about the health problems is regarded as an essential task. With the current shortage of medical personnel resources and an increase in the patient-to-clinician ...

AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach.

BMC medical informatics and decision making
BACKGROUND: Automated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status monitoring and personalized recommendation generation with artificial intelligence (AI). Semantic ontol...

Assessing the performance of ChatGPT's responses to questions related to epilepsy: A cross-sectional study on natural language processing and medical information retrieval.

Seizure
BACKGROUND: Epilepsy is a neurological condition marked by frequent seizures and various cognitive and psychological effects. Reliable information is essential for effective treatment. Natural language processing models like ChatGPT are increasingly ...

Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials.

Journal of chemical information and modeling
The scientific literature contains valuable information that can be used for future applications, but manual analysis presents challenges due to its size and disciplinary boundaries. The prevailing solution involves natural language processing (NLP) ...

HeNeCOn: An ontology for integrative research in Head and Neck cancer.

International journal of medical informatics
BACKGROUND: Head and Neck Cancer (HNC) has a high incidence and prevalence in the worldwide population. The broad terminology associated with these diseases and their multimodality treatments generates large amounts of heterogeneous clinical data, wh...

Extracting laboratory test information from paper-based reports.

BMC medical informatics and decision making
BACKGROUND: In the healthcare domain today, despite the substantial adoption of electronic health information systems, a significant proportion of medical reports still exist in paper-based formats. As a result, there is a significant demand for the ...

ChatGPT: a tool for scientific writing or a threat to integrity?

The British journal of radiology
The use of ChatGPT as a tool for writing and knowledge integration raises concerns about the potential for its use to replace critical thinking and academic writing skills. While ChatGPT can assist in generating text and suggesting appropriate langua...

Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval.

Computers in biology and medicine
In recent years, pre-trained language models (PLMs) have dominated natural language processing (NLP) and achieved outstanding performance in various NLP tasks, including dense retrieval based on PLMs. However, in the biomedical domain, the effectiven...

Integrating domain knowledge for biomedical text analysis into deep learning: A survey.

Journal of biomedical informatics
The past decade has witnessed an explosion of textual information in the biomedical field. Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision-making. Over the same period, deep learning has achieved remarkable...