Application of Explainable Machine Learning in Amino Acid PET Imaging for Glioma Diagnosis Academic Background Gliomas are among the most common malignant tumors of the central nervous system, with their diagnosis and treatment strategies typically relying on histopathological analysis. However, histopathology has limitations such as being highly i...
Application of AI-Enhanced Ultra-Fast PSMA-PET in Prostate Cancer Staging Academic Background Prostate cancer is one of the most common cancers among men globally, and accurate diagnosis and staging are crucial for treatment decision-making. Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) has become a standard examinati...
Early-phase 18F-Flortaucipir Tau-PET as a Proxy for Brain Metabolism in Alzheimer’s Disease Background Alzheimer’s Disease (AD) is a common neurodegenerative disorder characterized by extracellular β-amyloid (Aβ) deposition, intracellular pathological tau protein accumulation, and neurodegeneration. These pathological changes begin accumulating in ...
Background With the widespread adoption of cataract surgery and lens replacement surgery, the optical performance of intraocular lenses (IOLs) has become increasingly critical in determining patients’ postoperative visual quality. Predicting clinical visual performance (such as visual acuity and defocus range) is an emerging area of interest in oph...
Polarimetric Imaging Technology Assisting Intraoperative Peripheral Nerve Identification: A Cutting-Edge Study Peripheral nerves play a crucial role in the sensory and control networks of the human body, and their integrity and proper functioning are essential to our quality of life. Unfortunately, accidental peripheral nerve injuries are not uncom...
Challenging Skin Pigmentation Bias: Application of Time-Domain Near-Infrared Spectroscopy in Tissue Oximetry Background and Motivation In recent years, optical technologies have been increasingly utilized in medical diagnostics and therapies. However, varying levels of skin pigmentation (which depend on melanin concentration in the skin) can signif...
Numerical Analysis Enhances Postoperative Visual Assessment and Optimization for Multifocal Intraocular Lenses (IOLs) Introduction and Research Background One of the main goals of cataract surgery is to achieve spectacle-free vision for patients. However, this goal is limited by two major challenges: loss of accommodative function and postoperative...
Neural Network-Powered Microsurgical System: Advancing Precision in Cataract Surgery Academic Context and Research Problem Cataracts are the leading cause of blindness worldwide. Phacoemulsification combined with intraocular lens (IOL) implantation has emerged as the primary treatment method. This approach not only significantly improves patients’ ...
The Combination of Optical Coherence Tomography and Robotics: Current Research and Future Perspectives Academic Background Optical Coherence Tomography (OCT) is a non-invasive, high-resolution optical imaging technique that has been widely used in the field of biomedical imaging since its invention. It provides micrometer-level visualization of tis...
High-Resolution Dynamic Facial Micro-Expression Capture: Innovations in Multi-Focus Camera Array Background and Research Issues Capturing high-quality dynamic facial images is of critical importance in various fields such as biomedicine, emotion recognition, disease diagnosis, surgical outcome evaluation, facial prosthetic design, and genetic featu...