Jove
Visualize
Contact Us

Related Concept Videos

Confidence Coefficient01:24

Confidence Coefficient

10.5K
The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
10.5K
Feedback Inhibition00:46

Feedback Inhibition

56.9K
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
56.9K
Confidence Intervals01:21

Confidence Intervals

10.2K
An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a  sample proportion. However, unlike the point estimate which is a single value, the confidence interval  contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
10.2K
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

10.2K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
10.2K
Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

9.4K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
9.4K
Feedback Loops01:01

Feedback Loops

64.1K
In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
64.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

LLM-based generation of USMLE-style questions with ASPET/AMSPC knowledge objectives: All RAGs and no riches.

British journal of clinical pharmacology·2025
Same author

A National Survey of Communication Skills Topics Taught in Medical School Clinical Skills Courses.

Academic medicine : journal of the Association of American Medical Colleges·2025
Same author

Endodontic access cavity preparation: challenges and recent advancements.

British dental journal·2025
Same author

AI Patient Actor: An Open-Access Generative-AI App for Communication Training in Health Professions.

Medical science educator·2025
Same author

Altered auditory brainstem responses are post-acute sequela of SARS-CoV-2 (PASC).

Scientific reports·2025
Same author

Mesenchymal stem cell-derived small extracellular vesicles alleviate the immunometabolic dysfunction in murine septic encephalopathy.

iScience·2024
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jan 21, 2026

Control of Eating Behavior Using a Novel Feedback System
04:48

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

11.5K

Generative AI as the First Patient: Practice, Feedback, and Confidence.

Thomas Thesen1,2, Wade N O'Brien3, Simon Stone4

  • 1Department of Medical Education, Geisel School of Medicine at Dartmouth, Hanover, USA.

Medical Science Educator
|January 20, 2026
PubMed
Summary

Generative artificial intelligence (GenAI) enhances medical education by offering AI patient actors for simulated interviews, improving student skills. While valuable, these AI tools complement rather than replace human interaction in clinical training.

Keywords:
AI Patient ActorGenerative AIMedical curriculum

More Related Videos

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.8K
Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum
04:36

Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum

Published on: August 5, 2020

4.7K

Related Experiment Videos

Last Updated: Jan 21, 2026

Control of Eating Behavior Using a Novel Feedback System
04:48

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

11.5K
Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.8K
Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum
04:36

Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum

Published on: August 5, 2020

4.7K

Area of Science:

  • Medical Education Technology
  • Artificial Intelligence in Healthcare
  • Clinical Skills Training

Background:

  • Medical education faces faculty shortages, limiting access to clinical preceptors.
  • Integration and student acceptance of Generative Artificial Intelligence (GenAI) in medical training are underexplored.
  • GenAI offers personalized learning opportunities at scale.

Purpose of the Study:

  • To evaluate the integration and student acceptability of an AI Patient Actor app in a first-year medical curriculum.
  • To assess the impact of AI-driven simulated interviews on student clinical reasoning and communication skills.
  • To explore student perceptions of GenAI as an educational adjunct.

Main Methods:

  • Deployment of a large-language model-based AI Patient Actor app in a first-year medical curriculum.
  • Students conducted simulated clinical interviews with immediate feedback.
  • Sentiment analysis of student comments and feedback surveys were used.

Main Results:

  • Students reported overwhelmingly positive experiences with the AI Patient Actor app.
  • Comfort with GenAI increased significantly with repeated engagement.
  • Students appreciated the flexibility, low-pressure environment, and real-time feedback for skill development.
  • Limitations included perceived lack of authenticity compared to human interactions.

Conclusions:

  • AI patient actors are acceptable educational adjuncts in early clinical training.
  • GenAI provides immediate feedback and enhances student autonomy in learning.
  • AI patient actors supplement, but do not fully replace, interactions with human actors and patients.