Editorial

This special issue will highlight cutting-edge advances in medical imaging that specifically target diseases disproportionately or exclusively affecting women. Despite significant technological progress, many conditions such as breast cancer, ovarian cancer, endometriosis, and pregnancy-related complications remain underdiagnosed or misdiagnosed due to gender-blind imaging approaches and limited availability of sex-specific biomarkers. ...read more

The integration of Artificial Intelligence (AI) and Deep Learning (DL) technologies into healthcare has brought transformative advancements in disease diagnosis, treatment planning, and patient management. The increasing volume of complex biomedical data including medical imaging, genomics, electronic health records (EHRs), and wearable device outputs has necessitated the use of intelligent ...read more

This mini-thematic issue focuses on the convergence of artificial intelligence (AI) and multimodal medical imaging technologies to facilitate early and accurate disease diagnosis, enable precision medicine, and reduce diagnostic delays. With the growing complexity of image-based data in clinical settings, conventional techniques often fall short in delivering accurate and timely ...read more

Medical imaging is at the forefront of healthcare innovation, with artificial intelligence (AI) and sustainability emerging as two defining themes for the future of clinical practice. AI applications are transforming diagnostic accuracy, workflow efficiency, and personalised care, while sustainability frameworks emphasise reducing energy consumption, carbon footprint, and environmental impact of ...read more