Radiology

Nuclear Medicine

Latest AI and machine learning research in nuclear medicine for healthcare professionals.

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Impact of thyroglobulin changes on clinical outcomes of differentiated thyroid cancer with biochemical incomplete response.

PURPOSE: Partial patients with biochemical incomplete response (BIR) after initial therapy for diffe...

Comparison of Large Language Models' Performance on 600 Nuclear Medicine Technology Board Examination-Style Questions.

This study investigated the application of large language models (LLMs) with and without retrieval-a...

PET image nonuniformity texture features for metastasis risk prediction in osteosarcoma.

OBJECTIVE: PET image analysis provides tumor heterogeneity data related to neoadjuvant chemotherapy ...

New Targets for Imaging in Nuclear Medicine.

Nuclear medicine is rapidly evolving with new molecular imaging targets and advanced computational t...

PSMA PET/CT for prostate cancer diagnosis: current applications and future directions.

Prostate cancer (PCa) requires improved diagnostic strategies beyond conventional imaging. This revi...

Thorax-encompassing multi-modality PET/CT deep learning model for resected lung cancer prognostication: A retrospective, multicenter study.

BACKGROUND: Patients with early-stage non-small cell lung cancer (NSCLC) typically receive surgery a...

Prediction of anthropogenic I in the South China Sea based on machine learning.

With the rapid increase in the number of nuclear power plants along the China coast and the potentia...

Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning.

Single-time-point (STP) image-based dosimetry offers a more convenient approach for clinical practic...

F-FDG PET/CT-based deep learning models and a clinical-metabolic nomogram for predicting high-grade patterns in lung adenocarcinoma.

BACKGROUND: To develop and validate deep learning (DL) and traditional clinical-metabolic (CM) model...

A review of multimodal fusion-based deep learning for Alzheimer's disease.

Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, charact...

Plaque burden improves the detection of ischemic CAD over stenosis from coronary computed tomography angiography.

In symptomatic patients undergoing coronary CTA for suspected coronary artery disease (CAD), we asse...

A measurement-based framework integrating machine learning and morphological dynamics for outdoor thermal regulation.

This study presents a comprehensive investigation into the interplay between machine learning (ML) m...

Utilizing Pix2Pix conditional generative adversarial networks to recover missing data in preclinical PET scanner sinogram gaps.

BACKGROUND: The presence of a gap between adjacent detector blocks in Positron Emission Tomography (...

Depth-of-interaction encoding techniques for pixelated PET detectors enabled by machine learning methods and fast waveform digitization.

. Pixelated detectors with single-ended readout are routinely used by commercial positron emission t...

IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images.

Alzheimer's disease (AD) represents a significant challenge due to its progressive neurodegenerative...

Radiomics across modalities: a comprehensive review of neurodegenerative diseases.

Radiomics allows extraction from medical images of quantitative features that are able to reveal tis...

A Novel Theranostic Strategy for Malignant Pulmonary Nodules by Targeted CECAM6 with Zr/I-Labeled Tinurilimab.

Lung adenocarcinoma (LUAD) constitutes a major cause of cancer-related fatalities worldwide. Early i...

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