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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Artificial Intelligence in Medicine.

Umur Karan¹, Osman Elbek¹

¹Clinic of Chest Diseases, Süreyyapaşa Chest Diseases and Thoracic Surgery Training and Research Hospital, İstanbul, Türkiye.

Thoracic Research and Practice

|September 17, 2025

Summary

Artificial intelligence (AI) offers transformative potential across various sectors, including medicine, with early applications in radiology. However, its integration into healthcare also presents significant ethical and social challenges that require careful consideration.

Keywords:

ChatGPT Language models chest diseases ethics medicine

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Area of Science:

Computer Science
Medical Informatics
Ethics

Background:

Artificial intelligence (AI) has deep historical roots, with modern foundations laid by pioneers like Alan Turing and John McCarthy.
Early medical applications of AI focused on image archiving, interpretation, and preliminary diagnoses in radiology.
Advancements in computational power have enabled AI's expansion into diverse medical specialties.

Purpose of the Study:

To explore the multifaceted impact of artificial intelligence (AI) on various fields, with a specific focus on its role and implications in medicine.
To examine the evolution of AI applications in healthcare, from early diagnostic tools to broader specialty implementations.
To address the emerging ethical and social challenges associated with AI in the healthcare sector.

Main Methods:

Review of historical development and theoretical foundations of AI.
Analysis of early and current AI applications in medical imaging and diagnostics.
Discussion of ethical, social, and practical considerations for AI implementation in healthcare.

Main Results:

AI's capabilities have significantly advanced with increasing computational power, leading to wider medical applications.
The integration of AI in healthcare introduces complex ethical dilemmas and social conflicts.
AI presents a powerful tool, inherently free from social biases, but requires careful management.

Conclusions:

Artificial intelligence (AI) presents significant opportunities for innovation across science and medicine.
The ethical and social implications of AI in healthcare necessitate a balanced approach, avoiding both excessive enthusiasm and undue fear.
AI should be viewed as a tool to be managed responsibly, acknowledging its potential benefits and challenges.