Artificial intelligence (AI) now enables automated interpretation of medical images. However,
AI's potential use for interventional image analysis remains largely untapped. This is …

The emergence of generative artificial intelligence (AI) has revolutionized various fields. In
ophthalmology, generative AI has the potential to enhance efficiency, accuracy …

This paper proposes a microstructure reconstruction framework with denoising diffusion
models for the first time. The novelty and strength of the proposed model lie in its universality …

Generative artificial intelligence is able to collect, extract, digest, and generate information in
an understandable way for humans. As the first surgical applications of generative artificial …

Image segmentation is a long-standing problem in medical image analysis to facilitate the
clinical diagnosis and intervention. Progress has been made due to deep learning via …

A scarcity of data within the healthcare sector can present considerable obstacles for a
range of applications, most notably in the implementation and advancement of machine …

Surgical instrument segmentation can be used in a range of computer assisted interventions
and automation in surgical robotics. While deep learning architectures have rapidly …

Conventional predictive Artificial Neural Networks (ANNs) commonly employ deterministic
weight matrices; therefore, their prediction is a point estimate. Such a deterministic nature in …

This paper presents a tool-pose-informed variable center morphological polar transform to
enhance segmentation of endoscopic images. The representation, while not loss-less …

Summary The Glottal Area Waveform (GAW) is an important component in quantitative
clinical voice assessment, providing valuable insights into vocal fold function. In this study …