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

Nursing Diagnosis01:22

Nursing Diagnosis

4.0K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
4.0K
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

3.8K
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...
3.8K
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.8K
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...
1.8K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

3.8K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
3.8K
Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

2.3K
For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
2.3K
Role of Communication in the Nursing Process I: Assessment and Diagnosis01:25

Role of Communication in the Nursing Process I: Assessment and Diagnosis

5.3K
The nursing process uses scientific reasoning, problem-solving, and critical thinking to guide nurses in providing patients with appropriate care. This process is a systematic approach to recognize, avoid, and treat current or potential health issues while promoting the patient's well-being.
The nursing process considers the patient's emotional and physical well-being. The process can be repeated or stopped at any point if judged essential. Assessment is the first step in the nursing...
5.3K

You might also read

Related Articles

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

Sort by
Same author

Correction to: Computer-Aided Colonoscopy Alert Fatigue and Its Effect on Adenoma Detection.

The American journal of gastroenterology·2026
Same author

Risk-based pathology reporting after endoscopic submucosal dissection for early gastrointestinal cancer: international consensus standards.

Gut·2026
Same author

Inter and intra-observer agreement for the LST Classification in Large (>2cm) Colorectal Laterally Spreading Tumours.

The American journal of gastroenterology·2026
Same author

Endoscopic Polyp Size Measurement Using a Laser-Based Sizing Probe: Pilot Study.

Endoscopy international open·2026
Same author

Implementation of a prospective video databank for artificial intelligence model development, validation and clinical outcomes research in gastrointestinal endoscopy.

Gastrointestinal endoscopy·2026
Same author

Sporadic Adenoma Detection During Routine IBD Colonoscopies: A Secondary Analysis of Prospectively Collected Data.

Digestive diseases and sciences·2026

Related Experiment Video

Updated: Jan 29, 2026

Multimodal Optical Microscopy Methods Reveal Polyp Tissue Morphology and Structure in Caribbean Reef Building Corals
10:39

Multimodal Optical Microscopy Methods Reveal Polyp Tissue Morphology and Structure in Caribbean Reef Building Corals

Published on: September 5, 2014

12.8K

Optical Diagnosis of Colorectal Polyps: Recent Developments.

Roupen Djinbachian1,2, Anne-Julie Dubé1,2, Daniel von Renteln3,4

  • 1Faculty of Medicine, University of Montreal, Montreal, Canada.

Current Treatment Options in Gastroenterology
|February 13, 2019
PubMed
Summary

Optical diagnosis offers a viable alternative to traditional pathology for diminutive colorectal polyps. Advancements in AI and classification systems are enhancing its accuracy and applicability for endoscopists.

Keywords:
ColonoscopyColorectal cancerColorectal polypsDeep learningEndoscopic imagingEndoscopyOptical diagnosisResect and discard

More Related Videos

Inducing Polyp Bail-out in Coral Colonies to Obtain Individualized Micropropagates for Laboratory Experimental Use
07:23

Inducing Polyp Bail-out in Coral Colonies to Obtain Individualized Micropropagates for Laboratory Experimental Use

Published on: April 28, 2022

3.6K
Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
09:58

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

Published on: February 3, 2014

8.8K

Related Experiment Videos

Last Updated: Jan 29, 2026

Multimodal Optical Microscopy Methods Reveal Polyp Tissue Morphology and Structure in Caribbean Reef Building Corals
10:39

Multimodal Optical Microscopy Methods Reveal Polyp Tissue Morphology and Structure in Caribbean Reef Building Corals

Published on: September 5, 2014

12.8K
Inducing Polyp Bail-out in Coral Colonies to Obtain Individualized Micropropagates for Laboratory Experimental Use
07:23

Inducing Polyp Bail-out in Coral Colonies to Obtain Individualized Micropropagates for Laboratory Experimental Use

Published on: April 28, 2022

3.6K
Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
09:58

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

Published on: February 3, 2014

8.8K

Area of Science:

  • Gastroenterology
  • Endoscopy
  • Medical Imaging

Background:

  • Optical diagnosis is emerging as a substitute for histopathology in evaluating diminutive colorectal polyps.
  • Developments in imaging, classification systems, and artificial intelligence (AI) are increasing its feasibility.

Purpose of the Study:

  • To review current recommendations, classifications, outcomes, and advancements in optical diagnosis of diminutive colorectal polyps.
  • To provide an updated overview for clinicians and researchers in the field.

Main Methods:

  • Review of existing literature on optical diagnosis of colorectal polyps.
  • Analysis of current classification systems and society recommendations.
  • Evaluation of recent developments, including AI-assisted diagnosis.

Main Results:

  • Seven major classification systems and three major society recommendations exist for optical diagnosis.
  • NICE classification is well-studied but misses sessile serrated polyps (SSPs); SIMPLE classification includes SSPs and meets benchmarks for NBI and i-Scan.
  • AI-assisted diagnosis shows promise, meeting quality benchmarks in initial studies, but requires further research due to limitations like diagnostic failure and low specificity.

Conclusions:

  • Optical diagnosis is a viable strategy for experienced endoscopists using validated methods and enhanced endoscopy.
  • AI holds potential to broaden the application of optical diagnosis, though it is still in early development.