ChatGPT Helpful for Breast Cancer Screening Advice with Certain Caveats

As more consumers turn to the newly available ChatGPT for health advice, researchers are eager to see whether the information provided by the artificial intelligence chatbot is reliable and accurate. A new study conducted by researchers at the University of Maryland School of Medicine (UMSOM) indicates that the answers generated provide correct information the vast majority of the time; sometimes, though, the information is inaccurate or even fictitious.

Findings were published today in the journal Radiology.

In February 2023, UMSOM researchers created a set of 25 questions related to advice on getting screened for breast cancer. They submitted each question to ChatGPT three times to see what responses were generated. (The chatbot is known for varying its response each time a question is posed.) Three radiologists fellowship-trained in mammography evaluated the responses; they found that the responses were appropriate for 22 out of the 25 questions. The chatbot did, however, provide one answer based on outdated information. Two other questions had inconsistent responses that varied significantly each time the same question was posed.

"We found ChatGPT answered questions correctly about 88 percent of the time, which is pretty amazing," said study corresponding author Paul Yi , MD, Assistant Professor of Diagnostic Radiology and Nuclear Medicine at UMSOM and Director of the UM Medical Intelligent Imaging Center (UM2ii). "It also has the added benefit of summarizing information into an easily digestible form for consumers to easily understand." ChatGPT correctly answered questions about the symptoms of breast cancer, who is at risk, and questions on the cost, age, and frequency recommendations concerning mammograms.

The downside is that it is not as comprehensive in its responses as what a person would normally find on a Google search. "ChatGPT provided only one set of recommendations on breast cancer screening, issued from the American Cancer Society, but did not mention differing recommendations put out by the Centers for Disease Control and Prevention (CDC) or the US Preventative Services Task Force (USPSTF)," said study lead author Hana Haver, MD, a radiology resident at University of Maryland Medical Center.

In one response deemed by the researchers to be inappropriate, ChatGPT provided an outdated response to planning a mammogram around COVID-19 vaccination. The advice to delay a mammogram for four to six weeks after getting a COVID-19 shot was changed in February 2022, and the CDC endorses the USPSTF guidelines, which don’t recommend waiting. Inconsistent responses were given to questions concerning an individual's personal risk of getting breast cancer and on where someone could get a mammogram.

"We've seen in our experience that ChatGPT sometimes makes up fake journal articles or health consortiums to support its claims," said Dr. Yi. "Consumers should be aware that these are new, unproven technologies, and should still rely on their doctor, rather than ChatGPT, for advice."

He and his colleagues are now analyzing how ChatGPT fares for lung cancer screening recommendations and identifying ways to improve the recommendations made by ChatGPT to be more accurate and complete - as well as understandable to those without a high level of education.

"With the rapid evolution of ChatGPT and other large language models, we have a responsibility as a medical community to evaluate these technologies and protect our patients from potential harm that may come from incorrect screening recommendations or outdated preventive health strategies," said Mark T. Gladwin, MD, Dean, University of Maryland School of Medicine, Vice President for Medical Affairs, University of Maryland, Baltimore, and the John Z. and Akiko K. Bowers Distinguished Professor.

Haver HL, Ambinder EB, Bahl M, Oluyemi ET, Jeudy J, Yi PH.
Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT.
Radiology. 2023 Apr 4:230424. doi: 10.1148/radiol.230424

Most Popular Now

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

A Novel AI-Based Method Reveals How Cell…

Researchers from Tel Aviv University have developed an innovative method that can help to understand better how cells behave in changing biological environments, such as those found within a cancerous...