Topic: Advancing Frontiers in Artificial Intelligence for Biomedical Image Analysis

Artificial intelligence (AI) has revolutionized biomedical image analysis, offering innovative solutions for disease diagnosis, treatment planning, and patient monitoring. This Special Issue focuses on the latest trends in AI-driven methodologies, including deep learning, reinforcement learning, and hybrid approaches. These methods address the specific challenges of biomedical imaging while leveraging the integration of the Internet of Things (IoT) and advanced sensor technologies. IoT-enabled devices and real-time sensors generate vast streams of multimodal data, enabling AI systems to enhance precision in medical imaging applications. Significant advancements in image segmentation, classification, and anomaly detection demonstrate how these technologies, coupled with continuous sensor data, improve diagnostic accuracy and remote patient monitoring efficiency.

The integration of explainable AI into clinical workflows is crucial for interpreting complex model predictions, fostering trust, and encouraging broader adoption in healthcare. This Special Issue also explores domain-specific applications such as AI for radiology, pathology, and retinal image analysis, highlighting the role of IoT and sensor fusion in enhancing diagnostic precision. However, challenges persist, including data privacy concerns, model generalizability, and regulatory hurdles, particularly regarding IoT data security.

Additionally, the issue examines integrating data from various imaging techniques (e.g., magnetic resonance imaging (MRI), computer tomography (CT), positron emission tomography (PET), and ultrasound) to deliver comprehensive diagnostic insights. It also explores the potential of multimodal data fusion to improve disease detection and classification accuracy and the application of augmented reality (AR) and virtual reality (VR) technologies in biomedical image analysis, especially for surgical planning and educational training.

This Special Issue aims to address these challenges by presenting novel frameworks, benchmarking studies, and emerging standards for ethical, IoT-integrated AI in healthcare. Featuring state-of-the-art research and comprehensive reviews, it provides a roadmap for advancing AI and IoT-enabled biomedical image analysis, poised to transform the field and significantly improve patient outcomes.

Artificial intelligence (AI), biomedical image analysis, Internet of Things (IoT), multimodal data fusion, explainable AI

30 Jun 2025