Patient Preferences for Artificial Intelligence in Medical Imaging: A Single-Center Cross-Sectional Survey
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Patients undergoing medical imaging want to be informed about Artificial Intelligence (AI) use in their care. Transparency and disclosure are crucial for AI adoption in radiology practices.
Area Of Science
- Medical Imaging
- Artificial Intelligence in Healthcare
- Patient Perceptions
Background
- Artificial Intelligence (AI) is increasingly used in clinical settings to enhance diagnostic accuracy and reduce clinician burnout.
- Patient understanding and perspectives on AI's role in their medical care are not well-established.
- Cross-sectional imaging exams are a key area where AI implementation is growing.
Purpose Of The Study
- To investigate patient preferences regarding the use of and communication about Artificial Intelligence (AI) in their cross-sectional imaging examinations.
- To assess patient knowledge, perceptions, and economic considerations related to AI in healthcare.
- To explore patient willingness to accept AI-generated results and AI-exclusive interpretations.
Main Methods
- A single-center, cross-sectional study surveyed 226 outpatients undergoing CT or MRI exams.
- Structured questionnaires assessed patient knowledge of AI, perspectives on AI in care, and preferences for AI result communication.
- Data collected using Likert scales and categorical questions, with analysis of socioeconomic status correlations.
Main Results
- A significant majority (90.3%) of patients desired to be informed about AI use in their care and supported the right to opt out (91.1%).
- Most patients (91.1%) preferred explicit notification when AI interpreted their medical images, with 65.6% unwilling to accept exclusively AI-interpreted screening exams.
- Lower socioeconomic status correlated with lower patient knowledge of AI in medicine (p < .001).
Conclusions
- Patients strongly advocate for transparency and disclosure regarding AI utilization in their medical imaging.
- Radiology practices must prioritize clear communication and patient engagement to align AI adoption with patient expectations.
- Standardized disclosure of AI use, without overburdening workflows, is essential for building patient trust and acceptance.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...