Abstract
This Special Issue presents a collection of contributions that reflect current developments in medical and health technologies and their application to diagnosis, intervention, and care practice. The articles span a range of clinical domains and methodological approaches, while sharing a common focus on how technological and analytical advances can support more accurate assessment, better-informed therapeutic decisions, and improved healthcare delivery.
Some manuscripts address diagnostic challenges, illustrating the role of advanced imaging, quantitative analysis, and computational methods in enhancing disease detection and characterization. These studies demonstrate how technology-based approaches can complement established clinical procedures and provide clinically relevant information. Other articles focus on therapeutic and interventional aspects, emphasizing the integration of physiological knowledge, empirical clinical data, and analytical tools to support treatment planning, evaluation, and optimization. Finally, several contributions highlight technology-enabled clinical practice, including modeling, measurement, safety assessment, and digital health applications, showing their potential to strengthen clinical workflows and patient monitoring.
Overall, the studies included in this Special Issue underline the importance of interdisciplinary collaboration between clinicians, engineers, and researchers in advancing medical technology. By linking methodological innovation with practical clinical needs, this issue contributes to the ongoing development of evidence-based and technology-supported healthcare.