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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.

Clinical Trials: Overview

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...

Language and Cognition

Language and Cognition

Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.

Clinical Trials

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...

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Feasibility and Educational Value of Clinical Cases Generated Using Large Language Models.

Anna Berbenyuk¹, Leigh Powell¹, Nabil Zary¹

¹Institute of Learning, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, UAE.

Studies in Health Technology and Informatics

|August 23, 2024

Summary

Generative Artificial Intelligence (AI) can create realistic medical education cases, enhancing case-based learning (CBL) for healthcare professionals. AI-generated cases show potential for improving engagement and critical thinking in continuing medical education.

Keywords:

Artificial Intelligence (AI)Case-Based Learning (CBL)Clinical cases Medical Education

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Area of Science:

Medical Education
Artificial Intelligence in Healthcare

Background:

Case-based learning (CBL) is crucial for applying theoretical knowledge in healthcare.
Creating effective clinical cases is time-consuming and requires significant expertise.
Generative Artificial Intelligence (AI) offers a potential solution for efficient case generation.

Purpose of the Study:

To explore the feasibility and educational value of AI-generated cases in continuing medical education.
To assess AI-generated COVID-19 scenarios for the MENA region.
To evaluate the potential of AI in enhancing case-based learning.

Main Methods:

Utilized Generative AI to analyze medical data and create clinical scenarios.
Focused on COVID-19 case scenarios relevant to the MENA region.
Assessed the educational value and feasibility of AI-generated cases.

Main Results:

AI-generated cases demonstrated potential in fostering learner engagement.
AI-generated cases were found to promote critical thinking skills.
The study suggests AI-generated cases are suitable for various educational levels.

Conclusions:

Generative AI is a viable tool for creating diverse and up-to-date clinical cases.
AI integration into case-based learning can enhance medical education.
Further research is needed to overcome adoption challenges for AI in medical education.