Urology

Unlocking the Potential of Machine Learning in Enhancing Quantum Chemical Calculations for Infrared Spectral Prediction.

Infrared (IR) spectroscopy is a fundamental tool for analyzing molecular structures and chemical int...

Sex differences in bladder cancer: understanding biological and clinical implications.

Bladder cancer (BC) remains a significant global health concern, with substantial sex and racial dis...

Deep Learning-accelerated MRI in Body and Chest.

Deep learning reconstruction (DLR) provides an elegant solution for MR acceleration while preserving...

Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis.

BACKGROUND: As the optimal treatment for end-stage renal disease, kidney transplantation has proven ...

Segmentation of renal vessels on non-enhanced CT images using deep learning models.

OBJECTIVE: To evaluate the possibility of performing renal vessel reconstruction on non-enhanced CT ...

ACS NSQIP Risk Calculator Performance Across Multiple Domains of Operative Risk and Risk-associated Features.

OBJECTIVE: To assess the accuracy of the ACS NSQIP Risk Calculator (RC) when applied to subsets of h...

Development of a machine learning-based predictive risk model combining fatty acid metabolism and ferroptosis for immunotherapy response and prognosis in prostate cancer.

Prostate cancer (PCa) remains a leading cause of cancer-related mortality, necessitating robust prog...

Lightweight and universal deep learning model for fast proton spot dose calculation at arbitrary energies.

To better integrate into processes like rapid adaptive planning and quality assurance, this study ai...

Small Molecules Targeting the Structural Dynamics of AR-V7 Partially Disordered Proteins Using Deep Ensemble Docking.

The extensive conformational dynamics of partially disordered proteins hinders the efficiency of tra...

Application of BOLDMRIbased radiomics in differentiating malignant from benign renal tumors.

OBJECTIVES: Blood oxygen level dependent magnetic resonance imaging (BOLD-MRI) is a kind of non-inva...

Combining structural modeling and deep learning to calculate the protein interactome and functional networks.

We report on the integration of three methods that are computationally efficient enough to predict, ...

An artificial intelligence model for nuclear grading of clear cell renal cell carcinoma using whole slide images: a retrospective, multicentre, diagnostic study.

BACKGROUND: The pathological assessment of International Society of Urological Pathology (ISUP) nucl...

Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types.

The growing burden of cancer and recent surge in healthcare data availability call for new ways of a...

Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data.

Early allograft dysfunction (EAD) significantly affects liver transplantation prognosis. This study ...

Artificial intelligence for enhanced classification of intraoperative complications in urology.

Improving the Accuracy of a Wearable Uroflowmeter for Incontinence Monitoring Under Dynamic Conditions: Leveraging Machine Learning Methods.

Urinary incontinence affects many women, yet there are no monitoring devices capable of accurately c...

Neural pathways underlying the production of pitch and rhythm in aphasia.

Singing is a universal human attribute. Previous studies suggest that the ability to produce words t...

Exploring the influencing factors of abdominal aortic calcification events in chronic kidney disease (CKD) and non-CKD patients based on interpretable machine learning methods.

BACKGROUND: Calcification is prevalent in CKD patients, with abdominal aortic calcification (AAC) be...

The Accuracy of ChatGPT-4o in Interpreting Chest and Abdominal X-Ray Images.

Large language models (LLMs), such as ChatGPT, have emerged as potential clinical support tools to ...

First-principles calculations of solid-phase enthalpy of formation of energetic materials.

The solid-phase enthalpy of formation (∆H) of energetic materials was generally predicted from the g...

An Interpretable Method for Asphalt Pavement Skid Resistance Performance Evaluation Under Sand-Accumulated Conditions Based on Multi-Scale Fractals.

The skid resistance of asphalt pavement is vital for traffic safety and reducing accidents. Existing...