JNM Explores Potential Applications for ChatGPT in Nuclear Medicine and Molecular Imaging

A new article in The Journal of Nuclear Medicine explores the potential for using ChatGPT, an artificial intelligence chatbot, in the field of nuclear medicine and molecular imaging. In the article, Irène Buvat, PhD, and Wolfgang Weber, MD, PhD, report on discussions they held with ChatGPT regarding several nuclear medicine and molecular imaging topics and provide their commentary on the pros and cons of using the chatbot.

Developed by OpenAI, ChatGPT is a natural language processing chatbot that can intelligently respond to questions. In conversations with users, the chatbot always "pays attention" and remembers the thread of the dialogue. It is available in more than 90 languages and can be instructed to adopt a specific style, for example, Shakesperean or journalistic language.

Buvat and Weber challenged ChatGPT with questions relevant to nuclear medicine and molecular imaging to illustrate the role it could play in the field. ChatGPT received no special preparation for the interview and responded entirely with information from its extensive dataset. The responses of ChatGPT illustrate the strengths and weaknesses of current artificial intelligence bots.

According to Buvat and Weber, artificial intelligence bots such as ChatGPT "should not be feared but rather considered promising allies who will help us cope with ever-increasing workloads, freeing up time to devote to patients and colleagues and to expend more energy on tasks that require unique and advanced expertise."

Buvat I, Weber W.
Nuclear Medicine from a Novel Perspective: Buvat and Weber Talk with OpenAI's ChatGPT.
J Nucl Med. 2023 Mar 23:jnumed.123.265636. doi: 10.2967/jnumed.123.265636

Most Popular Now

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...