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Radiologists' perceptions and readiness for integrating artificial intelligence in diagnostic imaging: A survey-based
Prasanna Sakthi Aravazhi1, Kumaran Ottilingam Ravindran1, Kanika Balasubramani1
1Institute of Internal Medicine, Madras Medical College, Chennai, India.
Bioinformation
|April 15, 2025
Summary
Radiologists see artificial intelligence (AI) benefits in diagnostic imaging but have concerns about reliability and job impact. Education is key for AI adoption readiness.
Area of Science:
- Medical Imaging
- Radiology
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly integrated into healthcare, particularly diagnostic imaging.
- AI offers potential advancements in precision, speed, and efficiency for medical diagnoses.
Purpose of the Study:
- To explore radiologists' perceptions of AI in diagnostic imaging.
- To assess awareness, perceived benefits, concerns, and preparedness for AI adoption among radiologists.
Main Methods:
- A survey was conducted among 100 radiologists from diverse institutions.
- The survey focused on radiologists' awareness, perceived benefits, concerns, and readiness regarding AI.
Main Results:
- Most radiologists acknowledge AI's potential to enhance diagnostic accuracy and workflow efficiency.
- Key concerns include AI reliability, potential job displacement, and ethical considerations.
- Radiologists' readiness for AI adoption varies significantly with age, experience, and AI familiarity.
Conclusions:
- Targeted education and training are essential to address radiologists' skepticism towards AI.
- Effective integration of AI into diagnostic imaging requires addressing concerns and fostering preparedness.
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