AIMC Topic: Generative Artificial Intelligence

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ChatGPT-supported patient triage with voice commands in the emergency department: A prospective multicenter study.

The American journal of emergency medicine
BACKGROUND: Triage aims to prioritize patients according to their medical urgency by accurately evaluating their clinical conditions, managing waiting times efficiently, and improving the overall effectiveness of emergency care. This study aims to as...

Evaluation of Chatbots in the Emergency Management of Avulsion Injuries.

Dental traumatology : official publication of International Association for Dental Traumatology
BACKGROUND: This study assessed the accuracy and consistency of responses provided by six Artificial Intelligence (AI) applications, ChatGPT version 3.5 (OpenAI), ChatGPT version 4 (OpenAI), ChatGPT version 4.0 (OpenAI), Perplexity (Perplexity.AI), G...

Representations of skin tone and sex in dermatology by generative artificial intelligence: a comparative study.

Clinical and experimental dermatology
With generative artificial intelligence (AI) demonstrating potential in dermatological education, assessment of skin tone diversity is imperative to ensure comprehensive patient care. Evaluating DALLĀ·E 3, Midjourney and DreamStudio Beta, we generated...

AI in action: Changes to student perceptions when using generative artificial intelligence for the creation of a multimedia project-based assessment.

European journal of pharmacology
INTRODUCTION: New modes of assessments are needed to evaluate of the authenticity of student learning in an artificial intelligence (AI) world. In mid-2023, we piloted a new assessment type; a collaborative group multimedia assessment with AI allowan...

The use of generative artificial intelligence-based dictation in a neurosurgical practice: a pilot study.

Neurosurgical focus
OBJECTIVE: Document dictation remains a significant clinical burden and generative artificial intelligence (AI) systems utilizing transformer-based technology offer efficient speech processing methods that could streamline clinical documentation. Thi...

Enhancing search strategies for systematic reviews on drug Harms: An evaluation of the utility of ChatGPT in error detection and keyword generation.

Computers in biology and medicine
OBJECTIVE: Developing search strategies for synthesizing evidence on drug harms requires specialized expertise and knowledge. The aim of this study was to evaluate ChatGPT's ability to enhance search strategies for systematic reviews of drug harms by...

A comparison of performance of DeepSeek-R1 model-generated responses to musculoskeletal radiology queries against ChatGPT-4 and ChatGPT-4o - A feasibility study.

Clinical imaging
OBJECTIVE: Artificial Intelligence (AI) has transformed society and chatbots using Large Language Models (LLM) are playing an increasing role in scientific research. This study aims to assess and compare the efficacy of newer DeepSeek R1 and ChatGPT-...

A literature review on the role of artificial intelligence-based chatbots in patient education in colorectal surgery.

Surgery
INTRODUCTION: Artificial intelligence-based chatbots are becoming increasingly used in patient education, in the realm of colorectal diseases. Perhaps, not surprisingly, concerns about the appropriateness of chatbot answers have been raised by health...

Development and preliminary testing of a secure large language model-based chatbot for brief alcohol counseling in young adults.

Drug and alcohol dependence
OBJECTIVE: Young adults face elevated risks from alcohol use yet encounter significant barriers to accessing evidence-based interventions. Large language models (LLMs) represent a promising advancement for delivering personalized behavioral intervent...

Evaluating the validity and consistency of artificial intelligence chatbots in responding to patients' frequently asked questions in prosthodontics.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Healthcare-related information provided by artificial intelligence (AI) chatbots may pose challenges such as inaccuracies, lack of empathy, biases, over-reliance, limited scope, and ethical concerns.