Microwave imaging is a technique that has been under development for the past two decades. It allows for the reconstruction of images by exploiting the differences in permittivity between internal body tissues. This method outlines organs and helps identify malignant tumors as well as unusual conditions such as strokes.

Research has shown that microwave imaging is a promising alternative to well-established methods and can serve as a non-invasive adjunct since it does not emit ionizing radiation. Additionally, microwave signals have proven effective in detecting cancerous tissues within dense structures. Among its advantages are the potential for portability and low cost.

Recent clinical trials and encouraging evidence are paving the way for the acceptance of this modality in future clinical practices, driving the development of new systems. However, challenges remain, particularly regarding clinical acceptance, due to the stability and precision of the currently available commercial techniques.

The integration of artificial intelligence has further accelerated advancements in microwave imaging, making it a prominent focus in biomedical engineering research and related fields. This collection aims to promote discussions about the progress of microwave imaging in medical applications. Topics of interest include:

• Hardware design and system development specific to this technique
• The formulation of new methodologies for tumor detection and examination of anomalies in internal tissues
• Enhancements in image reconstruction techniques
• Leveraging artificial intelligence to improve the quality and accuracy of results