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Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language.

BMC medical informatics and decision making
PURPOSE: Today, the Internet provides access to many patients' experiences, which is crucial in assessing the quality of healthcare services. This paper introduces a model for detecting cancer patients' opinions about healthcare services in the Persi...

"You Are Not Alone": The Allure and Limitations of Artificial Intelligence in Serious Illness Communication.

Journal of palliative medicine
Artificial intelligence (AI) is changing the way clinicians practice medicine, and recent technological advancements have resulted in consumer-facing products that can respond to users with dynamic and nuanced language. Clinicians typically struggle ...

Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder.

IEEE transactions on bio-medical engineering
Automatic radiology report summarization has been an attractive research problem towards computer-aided diagnosis to alleviate physicians' workload in recent years. However, existing methods for English radiology report summarization using deep learn...

Depression detection for twitter users using sentiment analysis in English and Arabic tweets.

Artificial intelligence in medicine
Since depression often results in suicidal thoughts and leaves a person severely disabled daily, there is an elevated risk of premature mortality due to mental problems caused by depression. Therefore, it's crucial to identify the patient's mental il...

Language Artificial Intelligences' Communicative Performance Quantified Through the Gricean Conversation Theory.

Cyberpsychology, behavior and social networking
This study pragmatically investigates an artificial intelligence (AI) speaker (AIS)'s verbal communicative performance based on real AI-human conversation data. Specifically, this study explores Grice's conversation theory, which enables the categori...

Evaluating automatic sentence alignment approaches on English-Slovak sentences.

Scientific reports
Parallel texts represent a very valuable resource in many applications of natural language processing. The fundamental step in creating parallel corpus is the alignment. Sentence alignment is the issue of finding correspondence between source sentenc...

Students' Foreign Language Learning Adaptability and Mental Health Supported by Artificial Intelligence.

Journal of autism and developmental disorders
The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a spe...

Leveraging ChatGPT for ophthalmic education: A critical appraisal.

European journal of ophthalmology
In recent years, the advent of artificial intelligence (AI) has transformed many sectors, including medical education. This editorial critically appraises the integration of ChatGPT, a state-of-the-art AI language model, into ophthalmic education, fo...

A Chinese telemedicine-dialogue dataset annotated for named entities.

BMC medical informatics and decision making
BACKGROUND: A large collection of dialogues between patients and doctors must be annotated for medical named entities to build intelligence for telemedicine. However, since most patients involved in telemedicine deliver related named entities in info...

A SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of ChatGPT in the Medical Literature: Concise Review.

Journal of medical Internet research
BACKGROUND: ChatGPT is a 175-billion-parameter natural language processing model that is already involved in scientific content and publications. Its influence ranges from providing quick access to information on medical topics, assisting in generati...