Related Experiment Video
Updated: Nov 16, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Challenges of developing artificial intelligence-assisted tools for clinical medicine
Dennis L Shung1, Joseph J Y Sung2
1Yale School of Medicine, New Haven, Connecticut, USA.
Artificial intelligence (AI) offers computational tools to improve clinical care in gastroenterology and hepatology. Thoughtful deployment of AI is crucial for enhancing patient care and addressing operational and societal challenges.
Failed At:
2026-06-19T13:38:55.767108+00:00
More Related Videos
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
07:51Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Current Trends in Nursing II
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Documentation of Nursing Diagnosis
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...
Patient-centered Care