Integration of Imaging New Technology in Disease Diagnostics: A Systematic Review of Clinical Outcomes and Patient Safety

Abstract

Background: It has become pathbreaker as the new imaging technologies for diseases diagnosis have become important part of clinical practices by enhancing diagnosing, early identification, and patient safety. Nevertheless, as with so much that is enabled by more pervasive artificial intelligence (AI) and machine learning, so the potential for new uses that will be more able to target individual patients is greater than ever before. Yet, especially in low-resource settings, there are concerns around accessibility, price and training.
Aim: The objective of this systematic review is to evaluate the clinical outcomes and patient safety associated with the integration of new imaging technologies, and to review the performance, barriers, and future directions of the technology.
Method: Protocols for the systematic review were prepared and published referencing PubMed, Scopus, and google scholar databases. Study included 10 studies from 2019 to 2023 that were related to clinical outcomes, patient safety, and new imaging technology. Relevant data were extracted and analyzed regarding diagnostic accuracy, cost, safety and implementation challenges.
Results: The introduction of new imaging technologies, especially those aided by AI, has proven to experience a notable increase in the precision of diagnoses, and an earlier identification of an ailment, and consequently, better patient results. But high cost issues, the requirement for a standardized, and training of health care professionals is still a major challenge. Research also showed that imaging technologies decreased diagnosis error and enhanced the patient safety by supporting better decision-making for patient care.
Conclusion: The new imaging diagnostic technologies have gotten a positive impact on disease diagnosis that has improved the clinical outcomes and patient safety. However, there are still some hindrances to widespread adoption and usage: cost, accessibility, and required standardized practices being some of them. This would also be of importance to future research; as these challenges need to be tackled to achieve broad and affordable existence of advanced imaging, especially in low-resource settings.