Related Experiment Video
Updated: Jun 7, 2025
03:14
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
504
Mitigating Cognitive Biases in Clinical Decision-Making Through Multi-Agent Conversations Using Large Language
Yuhe Ke1,2, Rui Yang1, Sui An Lie2
1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Journal of Medical Internet Research
|November 19, 2024
Summary
Large language models in a multi-agent framework improved diagnostic accuracy by correcting cognitive biases. This AI approach outperformed human diagnostic capabilities in challenging medical cases.
Area of Science:
- Artificial Intelligence in Medicine
- Clinical Decision Support Systems
- Cognitive Bias Research
Background:
- Cognitive biases frequently lead to diagnostic errors and negatively impact patient outcomes.
- Mitigating these biases in clinical decision-making is a significant challenge for healthcare professionals.
Purpose of the Study:
- To investigate the potential of large language models (LLMs) within a multi-agent framework to reduce cognitive biases.
- To simulate clinical decision-making using multi-agent conversations and assess improvements in diagnostic accuracy compared to human performance.
Main Methods:
- Utilized GPT-4 to create a multi-agent framework simulating clinical team dynamics.
- Assigned roles to agents including diagnosis, devil's advocate, field expert, discussion facilitator, and summarizer.
- Evaluated diagnostic accuracy of various agent configurations on 16 case reports involving misdiagnoses due to cognitive biases.
Main Results:
- The initial diagnosis accuracy was 0%.
- The best multi-agent framework achieved 76% accuracy for the top 2 differential diagnoses after discussions.
- This AI-driven accuracy was significantly higher than that of human evaluators (OR 3.49, P=.002).
Conclusions:
- The multi-agent framework effectively re-evaluated and corrected diagnostic misconceptions.
- LLM-driven multi-agent conversations show promise for improving diagnostic accuracy in complex medical scenarios.
Keywords:
clinical decision-makingcognitive biasgenerative artificial intelligencelarge language modelmulti-agentMore Related Videos
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
7.5K
08:42Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
Published on: May 5, 2015
12.0K
Related Concept Videos
01:27Language and Cognition
325
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.
325
01:26Modeling in Therapy
49
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
49
02:16Stereotype Content Model
14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K
01:20Introduction to Cognitive Psychology
431
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
431
01:15Methods of Documentation VI: Case Management Model
559
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
559
01:30Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists
98
Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
98