Background As the use of smartphones continues to surge globally, mobile applications
(apps) have become a powerful tool for healthcare engagement. Prominent among these …

The rise of complex AI systems in healthcare and other sectors has led to a growing area of
research called Explainable AI (XAI) designed to increase transparency. In this area …

Featured Application Complexity, heterogeneity, and treatment resistance of cancers create
challenges in achieving successful treatment outcomes. Personalized cold atmospheric …

The field of skin cancer detection offers a compelling use case for the application of artificial
intelligence (AI) within the realm of image-based diagnostic medicine. Through the analysis …

The development of diagnostic tools for skin cancer based on artificial intelligence (AI) is
increasing rapidly and will likely soon be widely implemented in clinical use. Even though …

Clinical dermatoscopy and pathological slide assessment are essential in the diagnosis and
management of patients with cutaneous melanoma. For those presenting with stage IIC …

Learning to perform air combat autonomously has been a long-standing challenge. The
design of intelligent game strategies was difficult due to complex dynamic constraints and …

AI image classification algorithms have shown promising results when applied to skin
cancer detection. Most public skin cancer image datasets are comprised of dermoscopic …

Optical spectroscopic techniques relying on light–matter interactions, such as Raman
scattering, fluorescence, and infrared absorbance spectroscopy, offer numerous advantages …

Advanced multimodal large language models (LLM), such as GPT-4V (ision) and Gemini
Ultra, have shown promising results in the diagnosis of complex pathological conditions …