AIMC Topic: Generative Artificial Intelligence

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Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to Mindfulness-Based Stress Reduction (MBSR) Interventions.

Holistic nursing practice
The study's central objective is to harness the power of generative Artificial Intelligence (AI), in particular based on Large Language Models, as a valuable resource for delving deeper into the insights offered by patients with breast cancer (BC) wh...

Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study.

JMIR formative research
BACKGROUND: Systematic reviews are essential for synthesizing research in health sciences; however, they are resource-intensive and prone to human error. The data extraction phase, in which key details of studies are identified and recorded in a syst...

Accuracy and safety of ChatGPT-4o responses in rhinoplasty postoperative counseling: a panel-based study.

Acta oto-laryngologica
BACKGROUND: ChatGPT and other large language models have emerged as new tools for patient education, yet their clinical safety and reliability remain unclear.

Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners' Views.

Journal of medical Internet research
BACKGROUND: The potential for generative artificial intelligence (GenAI) to assist with clinical tasks is the subject of ongoing debate within biomedical informatics and related fields.

Readability of custom chatbot vs. GPT-4 responses to otolaryngology-related patient questions.

American journal of otolaryngology
BACKGROUND: Low health literacy among patients hinders comprehension of care instructions and worsens outcomes, yet most otolaryngology patient materials and chatbot responses to medical inquiries exceed the recommended reading level of sixth- to eig...

Evaluation of the accuracy of ChatGPT-4 and Gemini's responses to the World Dental Federation's frequently asked questions on oral health.

BMC oral health
BACKGROUND: The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large language models (LLMs) a...

Reporting guideline for Chatbot Health Advice studies: the CHART statement.

BMC medicine
BACKGROUND: The Chatbot Assessment Reporting Tool (CHART) is a reporting guideline developed to provide reporting recommendations for studies evaluating the performance of generative artificial intelligence (AI)-driven chatbots when summarizing clini...

Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewers.

BMC medical research methodology
BACKGROUND: Risk of bias (RoB) assessment is an essential part of systematic reviews that requires reading and understanding each eligible trial and RoB tools. RoB assessment is subject to human error and is time-consuming. Machine learning-based too...

Evaluating the Performance of State-of-the-Art Artificial Intelligence Chatbots Based on the WHO Global Guidelines for the Prevention of Surgical Site Infection: Cross-Sectional Study.

Journal of medical Internet research
BACKGROUND: Surgical site infection (SSI) is the most prevalent type of health care-associated infection that leads to increased morbidity and mortality and a significant economic burden. Effective prevention of SSI relies on surgeons strictly follow...

Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis.

JMIR formative research
BACKGROUND: There is growing interest in applying generative artificial intelligence (GenAI) to respond to electronic patient portal messages, particularly in primary care where message volumes are highest. However, evaluations of GenAI as an inbox c...