AIMC Topic: Oncologists
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Perceptions and Attitudes of Chinese Oncologists Toward Endorsing AI-Driven Chatbots for Health Information Seeking Among Patients with Cancer: Phenomenological Qualitative Study.
Journal of medical Internet research
Jul 23, 2025
BACKGROUND: Chatbots driven by large language model artificial intelligence (AI) have emerged as potential tools to enhance health information access for patients with cancer. However, their integration into patient education raises concerns among on...
Turkish medical oncologists' perspectives on integrating artificial intelligence: knowledge, attitudes, and ethical considerations.
BMC medical ethics
Jul 4, 2025
BACKGROUND: Integrating artificial intelligence (AI), especially large language models (LLM) into oncology has potential benefits, yet medical oncologists' knowledge, attitudes, and ethical concerns remain unclear. Understanding these perspectives is...
Evaluation of ChatGPT as a Reliable Source of Medical Information on Prostate Cancer for Patients: Global Comparative Survey of Medical Oncologists and Urologists.
Urology practice
Nov 7, 2024
INTRODUCTION: No consensus exists on performance standards for evaluation of generative artificial intelligence (AI) to generate medical responses. The purpose of this study was the assessment of Chat Generative Pre-trained Transformer (ChatGPT) to a...
The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.
Current oncology (Toronto, Ont.)
Aug 27, 2024
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized ...
Are medical oncologists ready for the artificial intelligence revolution? Evaluation of the opinions, knowledge, and experiences of medical oncologists about artificial intelligence technologies.
Medical oncology (Northwood, London, England)
Oct 9, 2023
The use of artificial intelligence technologies (AIT) in medicine is increasing worldwide. In this study, it was aimed to evaluate the experiences, opinions, and future expectations of medical oncologists on artificial intelligence (AI). After the re...
Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial.
Contemporary clinical trials
Jan 23, 2020
INTRODUCTION: Patients with cancer often receive care that is not aligned with their personal values and goals. Serious illness conversations (SICs) between clinicians and patients can help increase a patient's understanding of their prognosis, goals...
Artificial Intelligence Systems Assisting Oncologists? Resist and Desist or Enlist and Coexist.
The oncologist
Jul 23, 2019
The use of artificial intelligence (AI) has become an integral part of patient care, but there are concerns about the impact of nonâhuman decision assistance on patient outcomes. This commentary focuses on how AI can assist oncologists and benefit pa...
Application of Generative Artificial Intelligence for Physician and Patient Oncology Letters-AI-OncLetters.
JCO clinical cancer informatics
May 1, 2025
PURPOSE: Although large language models (LLMs) are increasingly used in clinical practice, formal assessments of their quality, accuracy, and effectiveness in medical oncology remain limited. We aimed to evaluate the ability of ChatGPT, an LLM, to ge...
Artificial Intelligence Treatment Decision Support For Complex Breast Cancer Among Oncologists With Varying Expertise.
JCO clinical cancer informatics
Aug 1, 2019
PURPOSE: The aim of the current study was to assess treatment concordance and adherence to National Comprehensive Cancer Network breast cancer treatment guidelines between oncologists and an artificial intelligence advisory tool.
Artificial Intelligence
Practice Guidelines as Topic
Clinical Decision-Making
Practice Patterns, Physicians'
Female
Oncologists
Guideline Adherence
Humans
Neoplasm Staging
Cross-Sectional Studies
Medical Oncology
Clinical Competence
Decision Support Systems, Clinical
Reproducibility of Results
Breast Neoplasms
Biomarkers, Tumor
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