Related Experiment Video
Updated: Jan 14, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Artificial Intelligence in Diagnosis and Clinical Decision-Making
1Department of Family Medicine, Meharry Addiction Medicine Clinic, Nashville, TN 37208, USA.
Abstract:
Artificial intelligence (AI) is rapidly transforming many areas of life and health care is no exception. Medicine has long relied on the interpretation and analysis of large volumes of data to arrive at a correct diagnosis and to guide clinical decision-making. The modern application of AI has opened new ways for the clinician to treat patients including predictive analytics, improved medical imaging diagnostics and pathology reports, and it is already being utilized in many different medical specialties. Although there are limitations to what AI can provide in clinical decision-making, the future of this field is hopeful.
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...
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...
Critical Thinking II
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
Patient-centered Care
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...

