Research Progress on Early Alzheimer’s Stages: Focusing on Differences Between Objective Subtle Cognitive Difficulties and Subjective Cognitive Decline Alzheimer’s disease (AD) is a critical topic in modern neuroscience and geriatric medicine research. Its pathological process begins years before the onset of clinical symptoms. Increasing evidence ...
The Application of Large Language Models in PET Imaging Reports: A Single-Center Pilot Study Combining Retrieval-Augmented Generation With the rapid development of artificial intelligence, large language models (LLMs) have gained widespread attention for their zero-shot learning and natural language processing capabilities in the medical domain. Al...
A New Approach to Skin Cancer Diagnosis: Research on Photoacoustic Imaging with Level Set Segmentation Algorithm In recent years, with global population aging and environmental changes, the incidence rate of skin cancer has been climbing annually. As a significant public health issue, skin cancer primarily manifests in non-melanoma types like squam...
Protein-Functionalized and Intrinsically Radiolabeled [188Re]ReOx Nanoparticles: Breakthrough Application in Multimodal Synergistic Cancer Therapy Cancer remains one of the leading causes of death globally, despite significant progress in medical science over the past few decades. However, early detection and treatment methods still face significan...
Breakthrough Applications of Generative Artificial Intelligence in Nuclear Medicine: Exploring the Potential of Synthetic Bone Scintigraphy Images and Their Application in Deep Learning Background and Research Questions In recent years, the rapid development of Artificial Intelligence (AI) has revolutionized medical imaging analysis. For instance, ...
Development of a Molecular Probe for Tumor-Associated Protein Mesothelin Based on PET Imaging Technology Research Background In recent years, mesothelin (MSLN) has become a key focus in cancer research and diagnostics. Mesothelin is a membrane-bound glycoprotein highly expressed on the surface of various malignancies, including ovarian, pancreatic,...
In-depth Analysis of PSMA PET/CT-based Multimodal Deep Learning Model for Predicting Lymph Node Metastases in Prostate Cancer Patients Background Prostate cancer (PCA) is one of the most common malignant tumors in men and a leading cause of cancer-related deaths. In clinically localized prostate cancer patients, extended pelvic lymph node dissectio...
Multimodal Neuroimaging Study on Cognitive Impairment in Parkinson’s Disease Parkinson’s Disease (PD) is a common neurodegenerative disorder mainly characterized by motor impairments. However, cognitive impairment (CI), one of the non-motor symptoms, significantly affects patients’ quality of life. According to extensive epidemiological studies, ap...
Breakthrough in Nuclear Medicine and Molecular Imaging: European Study Reveals Application of One-Day Dual-Tracer PET/CT Imaging in Neuroendocrine Tumors In the field of nuclear medicine, neuroendocrine neoplasms (NENs), known for their heterogeneity and complexity, have consistently been a focal point of research. A team from Tübingen, Germany, ha...
A Transformer Model Integrating PET Imaging and Clinical Data: A Multicenter Digital Biopsy Study for Predicting Pathological Grading and Prognosis of Follicular Lymphoma Academic Background Follicular Lymphoma (FL) is the most common indolent Non-Hodgkin Lymphoma in Western countries, accounting for approximately 30% of newly diagnosed cases. Acco...