Latest AI and machine learning research in prostate cancer for healthcare professionals.
Prostate cancer remains a major global burden; diagnostic pathways rely on prostate-specific antigen (PSA), multiparametric magnetic resonance imaging (mpMRI), and histopathology but face false positives, interobserver variability, and risk of overtreatment. We conducted a narrative review of peer-reviewed human studies (2015-February 2025; PubMed, Web of Science, Google Scholar) on artificial int...
PURPOSE: Patients are increasingly using artificial intelligence (AI) chatbots for health information. Evaluating their reliability for specialized topics, such as brachytherapy, is crucial for guiding their safe use. We assessed a readily accessible AI chatbot's suitability for answering frequently asked questions (FAQ) related to brachytherapy. METHODS: We compared responses from an AI chatbot (...
BACKGROUND: Diagnosis of prostate cancer in the PSA gray zone (4-10 ng/mL) and PI-RADS 3 cases remains challenging. Although multiparametric MRI (mpMR...
PURPOSE: Accurate applicator reconstruction is a critical step in 3D image-guided brachytherapy (3D-IGBT) for cervical cancer, directly influencing tu...
PURPOSE: Computed tomography (CT) scans are vital for radiotherapy planning, providing essential data for dose calculations. This study retrospectivel...
OBJECTIVE: To assess the diagnostic feasibility of transperineal biopsy guided by fusion of PET/MRI with [18F]F-PSMA-1007 and real-time transrectal ul...
BACKGROUND: Accurate preoperative prediction of lymph node invasion (LNI) in prostate cancer is critical for guiding lymph node dissection. Current no...
Psoriatic arthritis (PsA) is a chronic inflammatory disease characterised by unpredictable flare-ups that are difficult to forecast, particularly in p...
Cancer is a disease that begins with genetic and epigenetic alterations occurring in specific cells, some of which can spread and migrate to other tis...
PURPOSE: Accurate grading of prostate cancer is critical for treatment strategies and risk stratification. This study aims to develop a machine learni...
BACKGROUND: Access to prostate MRI remains limited due to resource constraints and the need for expert interpretation. PURPOSE: To develop machine lea...
BACKGROUND: Prostate cancer (PCa) is the most common solid organ cancer in men and the fifth leading cause of cancer-related deaths globally. PSA help...
Prostate cancer ranks as the second most prevalent malignancy among men, with its progression predominantly driven by androgen receptor (AR) signaling...
BACKGROUND AND SIGNIFICANCE: Clinical decision support systems (CDSS) can improve evidence-based oncology care, but many rely on opaque AI models that...
PURPOSE: This investigation focused on developing a predictive clinical tool that combines biparametric MRI-derived PI-RADS v2.1 assessments with pati...
BACKGROUND AND OBJECTIVE: Three-dimensional (3D) augmented reality (AR) and artificial intelligence (AI) technologies have recently been introduced to...
Polygenic risk scores (PRS) and the prostate specific antigen (PSA) test have been shown to be successful tools for predicting prostate cancer (PCa) i...
Prostate cancer (PCa) remains one of the most prevalent cancers among men, with over 1.4 million new cases and 375,304 deaths reported globally in 202...
BACKGROUND: Prostate cancer (PCa) remains a leading global malignancy, yet current diagnostic reliance on prostate-specific antigen (PSA) testing is l...
Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate survival prediction is essential for managing thes...