Breast Cancer

Mechanized precision: the rise of robotic systems in spinal surgery.

BACKGROUND: Robot-assisted spinal surgery has rapidly evolved into a transformative innovation. Initially developed for pedicle screw placement, current systems now support broader indications, offering enhanced precision, reduced radiation exposure and potentially improved perioperative outcomes; however, widespread adoption remains limited by technical, financial and educational barriers. OBJECT...

Deep learning-based pathomics signature predicts prognosis and treatment response in gastric cancer: a multicenter retrospective study.

The existing TNM staging system provides insufficient prognostic information in gastric cancer (GC) patients. This study aims to establish a pathomics signature of GC (PSGC) that uses deep learning (DL) to directly analyze H&E slides for predicting GC outcomes. We propose a multi-scale graph neural network with gated attention mechanism for multi-instance learning (MS-GMIL) for the construction of...

Preoperative MRI-Derived Navigation Reduces Radiation Exposure in Pediatric Spinal Fusion.

BACKGROUND: Minimizing radiation exposure during pediatric spinal deformity correction is critical due to the cumulative lifetime effects of ionizing ...

Artificial intelligence (AI) for early identification of radiotherapy related toxicities from the electronic health records of patients with head and neck cancer.

We evaluated artificial intelligence (AI) for detecting osteoradionecrosis, fibrosis, trismus, and dysphagia in 207 head and neck cancer patient elect...

Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer.

Breast cancer (BRCA) heterogeneity necessitates robust prognostic biomarkers. Programmed cell death (PCD) serves a key role in tumor progression and t...

Digital Enabled Diagnosis System for Mammogram Images Classification Using Machine Learning.

Breast tumor is the most commonly detected tumors and remain one of the leading causes of cancer-related mortality among women worldwide. Although mam...

Artificial Intelligence in Personalized Breast Cancer Drug Safety: From Preclinical Toxicology to Clinical Risk Management.

PURPOSE: The artificial intelligence (AI) implementation in personalized medicine has transformed drug safety, especially in breast cancer treatment. ...

Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics.

In this article, we propose a deep reinforcement learning based chemotherapy regulation framework to realize personalized and dynamic optimization of ...

CT-Free Quantitative Thyroid SPECT Based on Artificial Intelligence: A Prospective Multicenter Noninferiority Clinical Trial.

BACKGROUND: Hybrid single-photon emission computed tomography (SPECT)/computed tomography (CT) is used for the differential diagnosis of thyrotoxicosi...

MOGANet: A Multi-omics Graph Attention Network for Cancer Diagnosis and Biomarker Identification.

Multi-omics integration holds considerable promise for advancing disease understanding and improving the performance of biomedical classification task...

AI Breast Cancer Prediction Tool Hits the Clinic.

An artificial intelligence model called Clairity Breast, which uses mammogram images to predict the 5-year likelihood of breast cancer, was recently l...

Inverse design of an ultra-wideband endfire grooved half-mode waveguide (G-HMWG) antenna based on the CNN approach.

This study presents an AI-assisted inverse design methodology for a compact and ultra-wideband grooved half-mode waveguide (G-HMWG) end-fire antenna. ...

Climate-aware hybrid Kolmogorov-Arnold networks for interpretable solar radiation forecasting.

Accurate short-term solar radiation forecasting is essential for the reliable integration of photovoltaic systems into modern power grids, particularl...

Integrated Strategies for Nursing and Rehabilitation in Lung Cancer Patients.

This review delineates the pivotal role of nursing and rehabilitation in perioperative management and chemotherapy support for lung cancer patients, w...

Artificial Intelligence-Enabled Prediction of Reversible Versus Irreversible Chemotherapy-Induced Myocardial Injury: Toward Precision Cardio-Oncology.

Cancer therapy-related cardiac dysfunction remains a major cause of morbidity among cancer survivors and may interrupt life-saving oncologic therapy o...

Machine learning-driven drug repurposing for HER2-positive breast cancer.

Performance of an image-only deep learning breast cancer risk model with the addition of a polygenic risk score.

BACKGROUND: Mammograms contain imaging biomarkers that can predict future breast cancer risk using deep learning (DL) models. We evaluated whether add...

Tokenizing loops of antibodies.

The complementarity-determining regions (CDRs) of antibodies are loop structures that are key to their interactions with antigens and are of high impo...

Physics-constrained multimodal vision transformer for ultra-short-term solar radiation forecasting error correction.

Accurate ultra-short-term solar radiation forecasting is critical for renewable energy integration and power grid stability, yet operational systems e...

Would You Like a Side of Artificial Intelligence With Your Mammogram? An Experimental Study of Patient Willingness to Pay for Artificial Intelligence.

BACKGROUND: Some radiology practices ask patients to pay out of pocket for supplemental artificial intelligence (AI) interpretations of screening mamm...