Cardiovascular

Ultra-low dose chest-abdomen-pelvis CT with deep-learning image reconstruction for cancer follow-up: Impact on image quality and lesion detection.

PURPOSE: The purpose of this study was to compare the image quality and lesion detection between ultra-low dose (ULD) chest-abdomen-pelvis computed tomography (CAP-CT) reconstructed with a deep-learning image reconstruction (DLR) algorithm, and standard-dose CT (STD-CT) in cancer follow-up. MATERIALS AND METHODS: A total of 106 patients undergoing CAP-CT for the follow-up of cancer were prospectiv...

Modeling and forecasting oyster norovirus outbreaks of long-range dependence on antecedent marine environmental conditions.

This study presents three artificial intelligence-based models - XGBoost, Random Forest (RF), and Deep Artificial Neural Network (DANN) - with 2-day lead time for forecasting broad-scale oyster norovirus outbreaks. Among them, the XGBoost model performs best and is characterized by unique features: (1) the model was constructed and tested with epidemiological and environmental data collected from ...

Development and validation of a computational histology artificial intelligence-powered prognostic biomarker in muscle-invasive bladder cancer.

BACKGROUND: Patients with muscle-invasive bladder cancer (MIBC) have heterogeneous outcomes following transurethral resection of bladder tumor (TURBT)...

A clinical-radiomics model based on MRI sub-regions of gluteus maximus for recurrence prediction in high-grade serous ovarian cancer.

PURPOSE: To evaluate the predictive value of MRI sub-regional radiomics of the gluteus maximus for recurrence in high-grade serous ovarian cancer (HGS...

Prediction models for adverse events from prostate cancer curative radiotherapy: a systematic review of methodological quality.

BACKGROUND: Predicting risks of urinary, bowel, sexual, and other adverse effects following prostate cancer curative radiotherapy (PCa-RT) is essentia...

Interfractional Monitoring of Spacer Hydrogel Morphology in Patients With Prostate Cancer Receiving SBRT Treatment.

PURPOSE: The purpose of this study is to explore whether spacer hydrogel morphology changes during the course of stereotactic body radiation therapy (...

Local recurrence in rectal cancer: from detection to structured reporting.

Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic...

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

Pharmacogenomic biomarkers in oncology: evidence, clinical utility, and barriers to implementation.

Interpatient variability in chemotherapy response and toxicity remains a major challenge in oncology. Pharmacogenomics (PGx) is an approach to address...

A proof-of-concept study of optical tissue sensing during vacuum-assisted breast biopsy procedures.

BACKGROUND: Vacuum-assisted breast biopsy (VABB) enables minimally invasive sampling of breast lesions but provides no real-time information about the...

Machine learning-inspired design of a modified spider-shaped MIMO antenna for 5G-advanced wireless communications.

A modified Spider Shaped Four Element Multi Input Multi Output Antenna (SSFEMIMOA) is suggested for the 5G-advanced, and sub-6 GHz advanced wireless c...

Radiation dose optimization and dosimetry in pediatric nuclear medicine: Current concepts and future directions.

Pediatric nuclear medicine plays an essential role in the diagnosis and treatment of a wide range of oncologic and non-oncologic diseases while requir...

Radiomics Model Predicts Efficacy of First-Line CDK4/6 Inhibitor Combined with Endocrine Therapy in HR+/HER2- Advanced Breast Cancer.

INTRODUCTION: The combination of CDK4/6 inhibitors and endocrine therapy is the first-line standard regimen for advanced HR⁺/HER₂⁻ breast cancer. Howe...

Innovations and Future Directions in the Management of Eustachian Tube Dysfunction.

Innovations in Eustachian tube dysfunction (ETD) management are shifting care from symptom-based approaches toward precision, technology-integrated st...

Online adaptive radiotherapy in pelvic and thoracic cancers - comparing toxicities, clinical outcomes and technical parameters between conventional image-guided radiotherapy and online adaptive radiotherapy - the study protocol for the prospective, registry-based cohort study (PRoART).

BACKGROUND: Conventional image-guided radiotherapy (IGRT) typically relies on a computed tomography (CT)-based treatment planning process (planning CT...

Predictive Value of Endoscopy in the Identification of Complete Response After Neoadjuvant Therapy for Rectal Adenocarcinoma.

BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify complete response after neoadjuvant therapy in loca...

High-performance MXene/CuNWs/MH-TPU piezoresistive strain sensors fabricated via template-assisted phase separation with integrated thermal-EMI dual protection for emergency rescue.

In recent years, complex and extreme fire environments have posed a severe threat to the safety of front-line firefighters, urgently requiring high-pe...

Integrative Genomic Analysis Reveals Molecular and Clinical Disparities between Bladder and Upper Tract Urothelial Carcinoma in K-MASTER Program.

PURPOSE: The clinical outcome of urothelial carcinoma presents significant variability, reflecting its molecular composition, epidemiologic attributes...

Reply - Letter to the Editor: Comment on "Artificial intelligence-driven body composition analysis enhances chemotherapy toxicity prediction in colorectal cancer".

Cancer drug response and resistance: molecular mechanisms and combating strategies.

Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a fo...