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ChatGPT in Radiology: Is it a Pro or Con?

The emergence of ChatGPT in the medical field, particularly in radiology, has generated a mix of excitement and concern about its role. But is it accurate enough to put into use? Can we trust artificial intelligence (AI) with the health of our patients?

How Could ChatGPT be Used?

An article in Diagnostic and Interventional Imaging discusses various ways in which radiologists can leverage ChatGPT. It highlights applications for clinical radiologists, such as implementing ChatGPT as a chatbot for patient inquiries, supporting clinical decision-making with information and analysis assistance, and enhancing patient communication and follow-up care by simplifying radiology reports and crafting tailored recommendations. Academic radiologists can benefit from ChatGPT by receiving suggestions for impactful research article titles, assistance with structuring and formatting academic papers, and help in formatting citations for bibliographies. The article emphasizes that the best use of ChatGPT in radiology depends on individual needs and goals, potentially paving the way for a more intelligent future in the field. It notes that while ChatGPT offers valuable support, it’s crucial to fact-check its answers and review its output to ensure accuracy and relevance.

What Radiologists Have to Say

In RSNA’s article, The Good, the Bad and the Ugly of Using ChatGPT, various radiologists give their opinions on the use of this AI. Dr. Som Biswas, who published an article in Radiology entirely written by ChatGPT, believes that its potential benefits in reducing the workload and improving efficiency in radiology outweigh its limitations, which could be especially valuable in addressing the growing demand for medical imaging and reports in the face of a radiologist shortage.

Yiqiu Shen, MS, a researcher at New York University’s Center for Data Science, remarked, “In general, it’s ok to use ChatGPT as a language aid or to provide a template, but it’s dangerous to rely on ChatGPT to make a clinical decision.”

Urologic Imaging and AI: A Study

A study published in Current Problems in Diagnostic Radiology compared the performance of OpenAI’s ChatGPT and Google Bard in suggesting appropriate urologic imaging methods based on American College of Radiology (ACR) criteria. Both chatbots demonstrated an appropriate imaging modality rate of over 60%, with no significant difference between them in the proportion of correct imaging modality selected. However, the researchers noted that both chatbots lacked consistent accuracy and further development is needed for clinical implementation. The study found that while the chatbots were not entirely consistent in their responses, they hold promise in assisting healthcare providers in determining the best imaging modality, potentially improving clinical workflows in the future. ChatGPT provided shorter responses and had a slightly longer response time compared to Bard, which was faster but struggled with determining appropriate imaging modalities in a few scenarios.

Vesta: A Tech-Forward Company

Vesta Teleradiology looks forward to a future integrating AI with medicine. Click here to read more about Vesta Teleradiology Partners with MIT for AI Research

Sources:

radiologybusiness.com
rsna.org
Auntminnie.com
openai.com

How is Teleradiology and AI Impacting the Medical Industry Today?

Artificial Intelligence (AI) is revolutionizing the medical industry, transforming the way healthcare is delivered, diagnosed, and managed. With its ability to analyze vast amounts of data quickly and accurately, AI is reshaping various aspects of healthcare. From aiding in disease diagnosis to personalized treatment recommendations, AI is enhancing the precision and efficiency of medical practices. Moreover, AI-powered technologies are streamlining administrative tasks, optimizing resource allocation, and improving patient outcomes. As AI continues to advance, it holds immense potential to revolutionize healthcare delivery, foster medical innovations, and ultimately improve the quality of patient care on a global scale.

Teleradiology has had a profound impact on healthcare by enabling remote access to radiology expertise, bridging geographical barriers, and ensuring timely diagnoses. It has improved patient care by providing faster turnaround times, facilitating collaboration among radiologists, and increasing access to specialized interpretations, ultimately enhancing diagnostic accuracy and treatment outcomes. Going even further, a latest white paper from One Call describes how teleradiology and AI are helping reduce the strain of the radiology shortage.

Teleradiology and AI in Action

Medical imaging vendor, Nanox, is looking to address heath disparities and lack of access care with a new x-ray system which would be offered to countries in Africa, Asian and South American using a pay-per-scan model. The potential of combining cold cathode X-ray technology with teleradiology and artificial intelligence (AI) to enhance diagnostic capabilities and improve healthcare economics. Cold cathode X-ray systems offer advantages such as reduced energy consumption and improved image quality. When integrated with teleradiology, these systems can enable remote interpretation of X-rays, leading to faster diagnoses and improved patient care. Additionally, the use of AI algorithms in conjunction with cold cathode X-ray technology has the potential to enhance image analysis, automate certain tasks, and optimize resource allocation, offering cost-saving opportunities in healthcare settings.

diagnostic imaging — A teleradiologist examines a chest x-ray

There are plans to roll out AI-powered teleradiology by the “Screen for Life” program at the Primary Health Care Corporation in Qatar, aimed at early detection and prevention of cancer in the United Arab Emirates. The program plans to utilize AI algorithms to analyze radiology images, enhancing the accuracy and efficiency of cancer screening. The integration of AI in teleradiology will help automate image interpretation, expedite diagnoses, and reduce the workload on radiologists. The implementation of AI teleradiology in the “Screen for Life” program is expected to improve cancer detection rates, streamline healthcare processes, and ultimately save lives by identifying cancers at earlier stages.

Looking to outsource your radiology interpretations using an expert Teleradiology company that is at the forefront of technology including AI? Please reach out to Vesta to learn more. Vesta Teleradiology can accommodate any type of volume, large, medium and small.

Sources:

Radiologybusiness.com
menafn.com
openai.com
cdc.gov

Recent Advancements in Nuclear Medicine

The medical community is always looking for new and better ways to serve patients and save lives. Science, medicine, and technology often intersect to break barriers and create innovative new treatments – and nowhere is that truer than in the field of nuclear medicine.

What is Nuclear Medicine?

The National Institute of Biomedical Imaging and Bioengineering defines nuclear medicine as a specialty that uses radioactive tracers to diagnose and treat disease. Nuclear medicine is invaluable for patient care, as it can help detect disorders in the bones, gall bladder, heart, and much more.

advancements in nuclear medicine

This field has seen tremendous advancements in recent years, which offer the potential for incredible and life-saving benefits. Here are some of the latest developments in nuclear medicine.

Making AI More Effective

Artificial intelligence has been an integral part of medicine for decades, particularly in the realm of diagnostics. And now, new research suggests that nuclear medicine may make AI-based diagnostics even more effective.

radiology interpretations

For example, researchers in the Journal of Nuclear Medicine (JNM) suggest that nuclear imaging can help with machine learning and AI cancer diagnoses. This is because nuclear imaging creates a high contrast between tumors and normal tissue, making it much easier for the machine to identify abnormalities. Combining AI diagnostics with nuclear medicine can make the machines more accurate, which will ultimately result in better patient care over time.

Detecting Heart Disease

Radionuclide imaging has long been used to detect issues in patient heart function. However, researchers are beginning to explore new uses for this technology – including the examination of the heart’s very molecules.

Research from 2020 found that radionuclide imaging is successful at detecting cardiac amyloidosis, a rare condition in which a protein called amyloid is deposited in the cardiac muscle. Amyloid deposits can cause buildup over time and ultimately lead to heart failure, so it is very important to detect this condition as early as possible.

Discovering New Treatments

Nuclear medicine has many potential uses for imaging and diagnostics. However, it also offers many benefits for researchers.

For example, scientists at the Vanderbilt University Institute of Imaging Science recently used a radioligand (a radioactive substance used to study receptors in the body) to study whether an antioxidant called ERGO could penetrate the brain and protect against oxidative stress. The study successfully proved that ERGO can penetrate the brains of mice, which opens doors for further research on using this antioxidant to treat conditions like Alzheimer’s disease.

Nuclear medicine is always developing and advancing, and each advance makes it easier to give patients the care they deserve.

Nuclear Radiology Readings

We are proud of our talented pool of teleradiologists who specialize in a variety of subspecialties, including nuclear radiology. If you’ would like to learn more about how we can integrate with your current workflow in order to provide preliminary and final interpretations, please contact us now at 1-877-55-VESTA