Oncology/Hematology

Prostate Cancer

Latest AI and machine learning research in prostate cancer for healthcare professionals.

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Showing 1-21 of 7,372 articles
Research trends in cervical cancer brachytherapy: a bibliometric analysis.

BACKGROUND: Cervical cancer (CC) was a significant gynecological malignancy. Brachytherapy (BT) has ...

Diagnostic accuracy of machine learning approaches to identify psoriatic arthritis: a meta-analysis.

While machine learning (ML) approaches are commonly utilized in medical diagnostics, the accuracy of...

Challenges and Opportunities in Psoriatic Disease: An Integrated View of the Future.

Psoriatic disease (PsD), which includes cutaneous psoriasis (PsO) and psoriatic arthritis (PsA), aff...

Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests.

Existing prostate cancer monitoring methods, reliant on prostate-specific antigen (PSA) measurements...

High-throughput LDI MS technology decodes the distinct metabolic landscape of prostate cancer in a large-scale cohort.

BACKGROUND: Prostate cancer (PCa) remains a leading global malignancy, yet current diagnostic relian...

Interpretable machine learning models for survival prediction in prostate cancer bone metastases.

Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate ...

Non-conventional diagnostic tools for lower urinary tract symptoms and bladder outlet obstruction in men: a perspective review.

Introduction Assessing male lower urinary tract symptoms (LUTS) due to Benign outlet obstruction (BO...

Sex differences in serum proteomic profiles in psoriatic arthritis.

OBJECTIVES: Sex-related differences exist in the clinical presentation and treatment outcomes of pat...

Prospective cohort study integrating plasma proteomics and machine learning for early risk prediction of prostate cancer.

BACKGROUND: Early detection of prostate cancer (PCa) remains a clinical challenge. Plasma proteomics...

PruEV-AI: a Simple Approach Combines Urinary Extracellular Vesicle Isolation with AI-Assisted Analysis for Prostate Cancer Diagnosis.

Urinary extracellular vesicles (uEVs) are a promising source of prostate-derived biomarkers for non-...

Using AI to triage patients without clinically significant prostate cancer using biparametric MRI and PSA.

OBJECTIVES: To train and evaluate the performance of a machine learning triaging tool that identifie...

Incorporating organ deformation in biological modeling and patient outcome study for permanent prostate brachytherapy.

Permanent prostate brachytherapy has inherent intraoperative organ deformation due to the inflatable...

A novel network architecture for post-applicator placement CT auto-contouring in cervical cancer HDR brachytherapy.

BACKGROUND: High-dose-rate brachytherapy (HDR-BT) is an integral part of treatment for locally advan...

Combining Clinical, Genetic and Protein Markers Using Machine Learning Models Discriminates Psoriatic Arthritis Patients From Those With Psoriasis.

BACKGROUND: Psoriatic Arthritis (PsA), an immune mediated inflammatory arthritis, affects a quarter ...

Dual nanozyme sensor enables rapid at-home cancer surveillance.

Early detection of cancer is critical for improving patient survival rates, and current in vitro dia...

Analysis of gray zone PSA and PSAD correlated with PIRADS v2.1 in the MRI-US fusion prostate biopsy era: a retrospective bi-centre study.

BACKGROUND: Multiple parameters including PSA, PSAD, and PIRADS v2.1 score, are being associated in ...

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