FUTURE OF DIAGNOSIS: IMPACT AND RISE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY

Abstract

Introduction and purpose: This study explores the impact, awareness, and prognosis of Artificial Intelligence (AI) within the domain of Radiology. With objectives focusing on assessing AI’s advantages and disadvantages, understanding its awareness within the radiology department, and estimating its future prospects.

Methodology: This study targets a group of 50 individuals including students and faculties from GD Goenka University along with 25 staff members of the radiology department from five hospitals. Using both online and offline questionnaires, data is collected via Google Forms and printed copies of questionnaires. The questions focus on the impact of AI and awareness levels within the individuals relating to radiology background, AI’s potential in diagnosis improvement, and its capability to replace radiological staff.

Results: Results indicate a significant belief in AI's impact on radiology from both the participants’ groups, with the majority expressing disbelief regarding its potential to replace radiographers and radiologists. The research findings highlight a strong agreement on AI’s transformative potential in radiology, with 80% of online and 78% of offline respondents acknowledging its considerable impact. Most of the radiology staff from the hospitals shared that they did not receive any information about the use of AI in radiology prior our interviews. 90% of them believed that AI can have good impact on radiological practices. However, disbelief remains regarding AI’s ability to replace human professionals.

Conclusion: In conclusion, the study emphasize on the pivotal role of AI in the future of radiology, including its potential to enhance diagnostic accuracy, streamline work- flows, and improve patient care. As AI continues to integrate into radiological practice, it presents both opportunities and challenges, indicating a new era of informed and efficient diagnoses facilitated by machine learning algorithms and deep learning techniques.