AIMC Topic: Internet

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Fixed point results in intuitionistic fuzzy pentagonal controlled metric spaces with applications to dynamic market equilibrium and satellite web coupling.

PloS one
This manuscript contains several new spaces as the generalizations of fuzzy triple controlled metric space, fuzzy controlled hexagonal metric space, fuzzy pentagonal controlled metric space and intuitionistic fuzzy double controlled metric space. We ...

Assessing the Readability, Reliability, and Quality of AI-Modified and Generated Patient Education Materials for Endoscopic Skull Base Surgery.

American journal of rhinology & allergy
BACKGROUND: Despite National Institutes of Health and American Medical Association recommendations to publish online patient education materials at or below sixth-grade literacy, those pertaining to endoscopic skull base surgery (ESBS) have lacked re...

Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning.

Scientific reports
Suicidal thought and behavior (STB) is highly stigmatized and taboo. Prone to censorship, yet pervasive online, STB risk detection may be improved through development of uniquely insightful digital markers. Focusing on Sanctioned Suicide, an online p...

Enhancing online cataract surgery patient education materials through artificial intelligence.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
OBJECTIVE: To assess the feasibility of using artificial intelligence (AI) to improve readability of online cataract surgery patient education materials (PEMs) in English and Spanish.

Chatbots talk Strabismus: Can AI become the new patient Educator?

International journal of medical informatics
BACKGROUND: Strabismus is a common eye condition affecting both children and adults. Effective patient education is crucial for informed decision-making, but traditional methods often lack accessibility and engagement. Chatbots powered by AI have eme...

Can Patients With Urogenital Cancer Rely on Artificial Intelligence Chatbots for Treatment Decisions?

Clinical genitourinary cancer
OBJECTIVES: In the era of artificial intelligence, almost half of the patients use the internet to get information about their diseases. Our study aims to demonstrate the reliability of the information provided by artificial intelligence chatbots (AI...

Endometriosis Online Communities: How Machine Learning Can Help Physicians Understand What Patients Are Discussing Online.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: Use machine learning to characterize the content of endometriosis online community posts and comments.

Joint computation offloading and resource allocation for end-edge collaboration in internet of vehicles via multi-agent reinforcement learning.

Neural networks : the official journal of the International Neural Network Society
Vehicular edge computing (VEC), a promising paradigm for the development of emerging intelligent transportation systems, can provide lower service latency for vehicular applications. However, it is still a challenge to fulfill the requirements of suc...

Personalized approach to malignant struma ovarii: Insights from a web-based machine learning tool.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVES: Malignant struma ovarii (MSO) is a rare ovarian tumor characterized by mature thyroid tissue. The diverse symptoms and uncommon nature of MSO can create difficulties in its diagnosis and treatment. This study aimed to analyze data and use...

Utilizing Artificial Intelligence-Based Tools for Addressing Clinical Queries: ChatGPT Versus Google Gemini.

The Journal of nursing education
BACKGROUND: Artificial intelligence (AI)-based text generators, such as ChatGPT (OpenAI) and Google Bard (now Google Gemini), have demonstrated proficiency in predicting words and providing responses to various questions. However, their performance i...