AIMC Topic: Comprehension

Clear Filters Showing 241 to 250 of 271 articles

Readability and Appropriateness of Responses Generated by ChatGPT 3.5, ChatGPT 4.0, Gemini, and Microsoft Copilot for FAQs in Refractive Surgery.

Turkish journal of ophthalmology
OBJECTIVES: To assess the appropriateness and readability of large language model (LLM) chatbots' answers to frequently asked questions about refractive surgery.

Generating colloquial radiology reports with large language models.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Patients are increasingly being given direct access to their medical records. However, radiology reports are written for clinicians and typically contain medical jargon, which can be confusing. One solution is for radiologists to provide ...

Future Perspective of Risk Prediction in Aesthetic Surgery: Is Artificial Intelligence Reliable?

Aesthetic surgery journal
BACKGROUND: Artificial intelligence (AI) techniques are showing significant potential in the medical field. The rapid advancement in artificial intelligence methods suggests their soon-to-be essential role in physicians' practices.

Demystifying XAI: Requirements for Understandable XAI Explanations.

Studies in health technology and informatics
This paper establishes requirements for assessing the usability of Explainable Artificial Intelligence (XAI) methods, focusing on non-AI experts like healthcare professionals. Through a synthesis of literature and empirical findings, it emphasizes ac...

CLARA-MeD Tool - A System to Help Patients Understand Clinical Trial Announcements and Consent Forms in Spanish.

Studies in health technology and informatics
We present an NLP web-based tool to help users understand consent forms (CFs) and clinical trial announcements (CTAs) in Spanish. For complex word identification, we collected: 1) a lexicon of technical terms and simplified synonyms (14 465 entries);...

Assessment of readability, reliability, and quality of ChatGPT®, BARD®, Gemini®, Copilot®, Perplexity® responses on palliative care.

Medicine
There is no study that comprehensively evaluates data on the readability and quality of "palliative care" information provided by artificial intelligence (AI) chatbots ChatGPT®, Bard®, Gemini®, Copilot®, Perplexity®. Our study is an observational and...

Artificial intelligence-generated patient information leaflets: a comparison of contents according to British Association of Dermatologists standards.

Clinical and experimental dermatology
BACKGROUND: Patient information leaflets (PILs) can supplement a clinical consultation and provide additional information for a patient to read in their own time. A wide range of PILs are available for distribution by the British Association of Derma...

Assessing the readability, reliability, and quality of artificial intelligence chatbot responses to the 100 most searched queries about cardiopulmonary resuscitation: An observational study.

Medicine
This study aimed to evaluate the readability, reliability, and quality of responses by 4 selected artificial intelligence (AI)-based large language model (LLM) chatbots to questions related to cardiopulmonary resuscitation (CPR). This was a cross-sec...

How artificial intelligence can provide information about subdural hematoma: Assessment of readability, reliability, and quality of ChatGPT, BARD, and perplexity responses.

Medicine
Subdural hematoma is defined as blood collection in the subdural space between the dura mater and arachnoid. Subdural hematoma is a condition that neurosurgeons frequently encounter and has acute, subacute and chronic forms. The incidence in adults i...

Pulmonary Embolism Education: Role of Generative Artificial Intelligence Models.

Missouri medicine
The growing use of generative artificial intelligence (AI) in the public sphere allows for a greater degree of disseminating information worldwide. For patients, there is a growing body of literature exploring how the generative artificial intelligen...