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

Hospitals-II00:59

Hospitals-II

1.1K
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
1.1K
Hospitals-I01:28

Hospitals-I

1.5K
Hospitals offer medical and surgical care to the sick and injured, along with accommodation while they recover. At the same time, they also provide outpatient, emergency, psychiatric, and rehabilitation services to meet various community needs. In addition to providing medical care, hospitals also act as hubs for medical research and training. Hospitals use clinical procedures and evidence-based practice standards to deliver patient care. To deliver safe and efficient care, a nurse must stay up...
1.5K
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
Nursing Diagnosis01:22

Nursing Diagnosis

3.7K
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...
3.7K

You might also read

Related Articles

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

Sort by
Same author

How does AI perform compared to human expert panels in medical Delphi studies? A pilot study through the lens of pathology.

Journal of pathology informatics·2026
Same author

Gastronomic paradigm shifts revisited: from culinary abstraction to a post-digital integrative cuisine.

Frontiers in nutrition·2025
Same author

Rapid and Efficient Screening of <i>Helicobacter pylori</i> in Gastric Samples Stained with Warthin-Starry Using Deep Learning.

Diagnostics (Basel, Switzerland)·2025
Same author

A fusocelular skin dataset with whole slide images for deep learning models.

Scientific data·2025
Same author

Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases.

The American journal of surgical pathology·2024
Same author

Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset.

Artificial intelligence in medicine·2023

Related Experiment Video

Updated: Jan 22, 2026

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

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

Published on: May 19, 2023

2.5K

Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network.

Juan Antonio Retamero1, Jose Aneiros-Fernandez1, Raimundo G Del Moral1

  • 1From the Department of Anatomical Pathology, Granada University Hospitals, Hospital Campus de la Salud, Granada 18016, Spain (Drs Retamero, Aneiros-Fernandez, and del Moral); and the Instituto de Investigación Biosanitaria de Granada, Granada, Spain (Drs Aneiros-Fernandez and del Moral).

Archives of Pathology & Laboratory Medicine
|July 12, 2019
PubMed
Summary
This summary is machine-generated.

Granada University Hospitals successfully implemented digital pathology for primary histopathology diagnosis, improving efficiency by 21% and enabling computational pathology tools.

More Related Videos

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
06:09

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

Published on: July 21, 2023

1.9K
Quantitative Immunoblotting of Cell Lines as a Standard to Validate Immunofluorescence for Quantifying Biomarker Proteins in Routine Tissue Samples
09:58

Quantitative Immunoblotting of Cell Lines as a Standard to Validate Immunofluorescence for Quantifying Biomarker Proteins in Routine Tissue Samples

Published on: January 7, 2019

9.3K

Related Experiment Videos

Last Updated: Jan 22, 2026

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

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

Published on: May 19, 2023

2.5K
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
06:09

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

Published on: July 21, 2023

1.9K
Quantitative Immunoblotting of Cell Lines as a Standard to Validate Immunofluorescence for Quantifying Biomarker Proteins in Routine Tissue Samples
09:58

Quantitative Immunoblotting of Cell Lines as a Standard to Validate Immunofluorescence for Quantifying Biomarker Proteins in Routine Tissue Samples

Published on: January 7, 2019

9.3K

Area of Science:

  • Digital Pathology
  • Histopathology
  • Medical Imaging

Background:

  • Complete digital pathology and whole slide imaging are not yet widespread for routine histopathology diagnosis.
  • Granada University Hospitals adopted full digital pathology for primary diagnosis in 2016 across four hospitals.

Purpose of the Study:

  • To detail the methodology and experience of Granada University Hospitals in transitioning to full digital diagnosis.
  • To assess the feasibility and impact of a fully digital histopathology workflow.

Main Methods:

  • Digitization of all histopathology glass slides (hematoxylin-eosin, immunohistochemistry, histochemistry) at ×40 using Philips IntelliSite Pathology Solution.
  • Integration of existing sample-tracking software and image management systems via Health Level 7 protocol for data interchange.

Main Results:

  • Over 160,000 specimens and 800,000 slides processed with digital pathology for primary diagnosis.
  • Initial scanning error rate below 1.5%, reduced to negligible levels post-optimization.
  • Average annual case sign-out increased by 21% for pathologists.

Conclusions:

  • Digital pathology is a viable medium for primary histopathology diagnosis.
  • Successful implementation requires robust sample tracking and IT infrastructure integration.
  • Rapid, reliable scanning and digital workflow optimization enhance efficiency and pave the way for computational pathology.