Jove
Visualize
Contact Us
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 Concept Videos

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.3K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

2.7K
A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
2.7K
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

1.6K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Diffusion-based representation integration for foundation models improves spatial transcriptomics analysis.

Bioinformatics (Oxford, England)·2026
Same author

SCOT+: a comprehensive software suite for single-cell alignment using optimal transport.

Bioinformatics advances·2026
Same author

Diffusion-based Representation Integration for Foundation Models Improves Spatial Transcriptomics Analysis.

bioRxiv : the preprint server for biology·2025
Same author

Inferring the regulation dynamics of oscillatory networks from scRNA-seq data.

bioRxiv : the preprint server for biology·2025
Same author

A deep learning model to predict glioma recurrence using integrated genomic and clinical data.

Communications medicine·2025
Same author

Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma.

PLoS computational biology·2025

Related Experiment Video

Updated: Jul 3, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.5K

Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large

Tassallah Abdullahi1, Ritambhara Singh1,2, Carsten Eickhoff3

  • 1Department of Computer Science, Brown University, Providence, RI, United States.

JMIR Medical Education
|February 13, 2024
PubMed
Summary

Large language models (LLMs) like Bard and GPT-4 show promise in aiding rare disease diagnosis, outperforming human consensus and specialized models. Prompt engineering is key, but no single strategy fits all LLMs.

Keywords:
AI assistanceBardChatGPT 3.5GPT-4MedAlpacaartificial intelligenceclinical decision supportcomplex diagnosiscomplex diseasesconsistencylanguage modelmedical educationmedical trainingnatural language processingprediction modelprompt engineeringrare diseasesreliability

More Related Videos

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

561
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.0K

Related Experiment Videos

Last Updated: Jul 3, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.5K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

561
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.0K

Area of Science:

  • Artificial Intelligence in Medicine
  • Medical Diagnostics
  • Clinical Decision Support

Background:

  • Rare and complex diseases pose diagnostic challenges due to limited expert knowledge.
  • Large Language Models (LLMs) offer potential for knowledge aggregation in clinical decision support and medical education.

Purpose of the Study:

  • To explore the diagnostic capabilities of Bard, ChatGPT-3.5, and GPT-4 for rare and complex diseases.
  • To investigate the impact of prompt engineering on LLM performance in medical diagnosis.

Main Methods:

  • Experiments conducted on publicly available rare and complex disease cases.
  • Evaluation of various prompt strategies (open-ended, multiple-choice) and a majority voting strategy.
  • Comparison of LLM performance against human respondents and MedAlpaca.

Main Results:

  • All tested LLMs surpassed average human consensus and MedAlpaca in diagnosing rare and complex cases.
  • GPT-4, using a majority voting strategy, achieved the highest overall score.
  • Bard and GPT-4 demonstrated high diagnostic accuracy (93%) with multiple-choice prompts on MIMIC-III data.

Conclusions:

  • LLMs exhibit significant diagnostic capabilities for rare and complex diseases.
  • Prompt engineering is crucial but requires tailored strategies for different LLMs.
  • This research supports the development of LLM-based tools for medical education and diagnostic aid.