Search Tag: diagnostic innovation
2025 30 Sep
Artificial intelligence has long supported radiology as a reactive aid, flagging abnormalities and speeding report generation when prompted by users. A newer approach is emerging that shifts from passive assistance to autonomous, context-aware action. Agentic AI can initiate workflow management, plan tasks and deliver clinical decision support...Read more
2025 21 Jul
Health disparities persist across global healthcare systems, particularly within primary care. These inequities often stem from systemic factors such as socioeconomic status, race, geography and digital exclusion. Artificial intelligence presents a potential catalyst for transformation, offering the means to improve diagnostic accuracy, extend...Read more
2025 01 Jul
Radiology is undergoing a pivotal transformation, shaped by rapid technological advancements and the integration of artificial intelligence. From its origins in X-ray imaging to its role in cross-sectional, functional and molecular diagnostics, radiology has consistently embraced innovation. Today, the specialty faces mounting imaging demands,...Read more
2025 24 Apr
Artificial intelligence (AI) is revolutionising radiology, offering improved diagnostic precision and operational efficiency. Deep learning models, particularly within medical imaging, are at the forefront of this transformation. However, the increasing adoption of AI in radiology has introduced a complex sustainability paradox. While AI holds...Read more
2025 24 Apr
Artificial intelligence (AI) is revolutionising radiology, offering improved diagnostic precision and operational efficiency. Deep learning models, particularly within medical imaging, are at the forefront of this transformation. However, the increasing adoption of AI in radiology has introduced a complex sustainability paradox. While AI holds...Read more
2025 24 Apr
Artificial intelligence (AI) is revolutionising radiology, offering improved diagnostic precision and operational efficiency. Deep learning models, particularly within medical imaging, are at the forefront of this transformation. However, the increasing adoption of AI in radiology has introduced a complex sustainability paradox. While AI holds...Read more