Introduction: Artificial intelligence is rapidly transforming oncology, evolving from image interpretation and pathology analysis to supporting complex clinical decision-making. This perspective argues that AI should enhance the capabilities of oncologists rather than replace their expertise.
Introduction:
Artificial intelligence is rapidly transforming oncology, evolving from image interpretation and pathology analysis to supporting complex clinical decision-making. This perspective argues that AI should enhance the capabilities of oncologists rather than replace their expertise.
Why was this article needed?
As AI becomes increasingly integrated into cancer care, there is growing debate over whether it should substitute physicians or function as a tool that augments clinical judgment. The authors advocate for a physician-centered model of AI adoption.
What did the article show?
Clinical Impact:
Physician-complementing AI has the potential to improve clinical efficiency, personalize treatment decisions, and support evidence-based oncology while preserving the essential role of physician judgment and the doctor–patient relationship.
Take-Home Message:
The greatest value of AI in oncology lies not in replacing physicians but in amplifying their expertise. By combining human clinical judgment with AI-powered decision support, cancer care can become more precise, efficient, and patient-centered.
Introduction: Artificial intelligence is rapidly transforming healthcare through drug discovery, clinical decision support, remote monitoring, and administrative automation. While AI is widely expected to reduce healthcare costs, this perspective argues that current payment models and...
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Introduction: Large language models (LLMs), exemplified by ChatGPT and similar artificial intelligence platforms, are rapidly reshaping healthcare delivery, medical education, and scientific research. In gastroenterology, these technologies have the potential to support clinical decision-making, streamline...
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