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 Experiment Video

Updated: Jun 21, 2026

A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

TiMeDDx--a multi-phase anchor-based diagnostic decision-support model.

Yaron Denekamp1, Mor Peleg

  • 1Galil Center for Medical Informatics, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.

Journal of Biomedical Informatics
|August 12, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:

You might also read

Related Articles

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

Sort by
Same authorSame journal

Beyond Accuracy: Safety-Centered guidelines for the evaluation of LLM-based therapy recommendation systems for chronic multimorbidity patients.

Journal of biomedical informatics·2026
Same author

Criteria to prioritize clinical practice guideline recommendations for patient decision aid development: results from a modified Delphi consensus study.

Journal of clinical epidemiology·2026
Same author

A data-driven method for research trend analysis in a scientific discipline: Application to the journal of biomedical informatics.

Journal of biomedical informatics·2026
Same author

Lipomas are associated with a higher prevalence of metabolic syndrome components: a multicenter cross-sectional study.

Frontiers in endocrinology·2025
Same author

Obtaining Patient-Reported Outcome Data via a Home Patient Monitoring App: Development, Implementation, and Validation of Novel Interface Terminology.

JMIR mHealth and uHealth·2025
Same author

A novel interface terminology for patient-reported outcomes in home patients monitoring applications.

JMIR mHealth and uHealth·2025
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
Same journal

DeepEN: A deep reinforcement learning framework for personalized enteral nutrition in critical care.

Journal of biomedical informatics·2026
See all related articles

This study introduces TiMeDDx, a novel diagnostic decision-support system designed to aid physicians in Main Clinical Manifestation (MCM)-oriented diagnosis. TiMeDDx guides users through differential diagnosis, improving the investigation of chief complaints.

Area of Science:

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

Background:

  • Main Clinical Manifestation (MCM)-oriented diagnosis involves reasoning from a chief problem to potential diagnoses.
  • Existing diagnostic decision-support systems (DSSs) often lack specific tailoring for non-expert physicians in MCM-oriented workups.
  • The hypothetico-deductive reasoning process is crucial for differential diagnosis.

Purpose of the Study:

  • To develop and present a prototype diagnostic decision-support model, TiMeDDx, specifically for MCM-oriented diagnosis.
  • To guide non-expert physicians through the differential diagnosis process for chief complaints.
  • To demonstrate the model's utility using the clinical problem of diarrhea.

Main Methods:

  • Developed TiMeDDx, a prototype MCM-oriented diagnostic decision-support model.

Related Experiment Videos

Last Updated: Jun 21, 2026

A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

  • Incorporated a phase-by-phase guidance system for abstract diagnosis groups and specific diagnoses.
  • Utilized Bayesian and heuristic diagnostic algorithms within the knowledge model.
  • Sourced knowledge from MCM-oriented evidence-based resources where possible.

    • Main Results:

    • TiMeDDx guides users through differential diagnosis, considering abstract groups and refining to specific diagnoses.
    • The model specifies appropriate data collection steps during the clinical investigation.
    • A case study on diarrhea illustrates TiMeDDx's application and contrasts it with existing DSSs.

    Conclusions:

    • TiMeDDx offers a structured approach to MCM-oriented diagnosis, supporting non-expert physicians.
    • The model enhances the efficiency and appropriateness of diagnostic workups.
    • TiMeDDx represents a novel application of clinical reasoning principles in decision support.