AIMC Topic: Prostate

Clear Filters Showing 1 to 10 of 617 articles

Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol.

BMJ open Jul 7, 2025
INTRODUCTION: Histopathological evaluation of prostate biopsies using the Gleason scoring system is critical for prostate cancer diagnosis and treatment selection. However, grading variability among pathologists can lead to inconsistent assessments, ...
Humans Artificial Intelligence Prostatic Neoplasms Neoplasm Grading Research Design Prostate Biopsy Retrospective Studies Male
View on PubMed DOI

Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study.

Military Medical Research Jul 7, 2025
BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has significantly advanced prostate cancer (PCa) detection, yet decisions on invasive biopsy with moderate prostate imaging reporting and data system (PI-RADS) scores remain ambiguous.
Multiparametric Magnetic Resonance Imaging Prostatic Neoplasms Prostate Biopsy Humans Retrospective Studies Middle Aged Decision Making Aged Male
View on PubMed DOI

Machine learning-based comparison of transperineal vs. transrectal biopsy for prostate cancer diagnosis: evaluating procedural effectiveness.

The Canadian journal of urology Jun 27, 2025
BACKGROUND: Transrectal (TR) and transperineal (TP) biopsies are commonly used methods for diagnosing prostate cancer. However, their comparative effectiveness in conjunction with machine learning (ML) techniques remains underexplored. This study aim...
Machine Learning Retrospective Studies Aged Male Humans Perineum Prostate Middle Aged Rectum Predictive Value of Tests Biopsy Prostatic Neoplasms
View on PubMed DOI

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting.

Physics in medicine and biology Jun 16, 2025
Magnetic resonance imaging (MRI) is essential in clinical and research contexts, providing exceptional soft-tissue contrast. However, prolonged acquisition times often lead to patient discomfort and motion artifacts. Diffusion-based deep learning sup...
Magnetic Resonance Imaging Models, Statistical Prostate Male Deep Learning Image Processing, Computer-Assisted Diffusion Signal-To-Noise Ratio Humans Brain
View on PubMed DOI

Deep learning for quality assessment of axial T2-weighted prostate MRI: a tool to reduce unnecessary rescanning.

European radiology experimental Apr 29, 2025
BACKGROUND: T2-weighted images are a critical component of prostate magnetic resonance imaging (MRI), and it would be useful to automatically assess image quality (IQ) on a patient-specific basis without radiologist oversight.
Aged Male Middle Aged Humans Prostate Deep Learning Retrospective Studies Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Prostatic Neoplasms
View on PubMed DOI

A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI.

Physics in medicine and biology Apr 22, 2025
Prostate lesion segmentation from multiparametric magnetic resonance images is particularly challenging due to the limited availability of labeled data. This scarcity of annotated images makes it difficult for supervised models to learn the complex f...
Supervised Machine Learning Multimodal Imaging Prostatic Neoplasms Prostate Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Male
View on PubMed DOI

Identification of cancerous tissues based on residual neural network.

Scientific reports Apr 17, 2025
The identification of cancerous tissues remains challenging due to the complexity of experimental methods and low identification accuracy rates. Therefore, this paper proposes a rapid identification method. We introduce a new theoretical transmission...
Prostatic Neoplasms Prostate Lasers Convolutional Neural Networks Image Processing, Computer-Assisted Rats Algorithms Animals Male Humans Neural Networks, Computer
View on PubMed DOI

The Role of Artificial Intelligence in the Evaluation of Prostate Pathology.

Pathology international Apr 14, 2025
Artificial intelligence (AI) is an emerging tool in diagnostic pathology, including prostate pathology. This review summarizes the possibilities offered by AI and also discusses the challenges and risks. AI has the potential to assist in the diagnosi...
Male Prostatic Neoplasms Neoplasm Grading Prostate Humans Artificial Intelligence
View on PubMed DOI

Development and validation of a framework for registration of whole-mount radical prostatectomy histopathology with three-dimensional transrectal ultrasound.

BMC urology Apr 3, 2025
PURPOSE: Artificial intelligence (AI) has the potential to improve diagnostic imaging on multiple levels. To develop and validate these AI-assisted modalities a reliable dataset is of utmost importance. The registration of imaging to pathology is an ...
Humans Artificial Intelligence Aged Rectum Prostatectomy Imaging, Three-Dimensional Prostatic Neoplasms Prostate Male Middle Aged Ultrasonography
View on PubMed DOI

Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens.

Scientific reports Mar 31, 2025
Prostate cancer (PCa) diagnosis faces significant challenges due to its complex pathological characteristics and insufficient pathologist resources. While deep learning-based image analysis (DLIA) shows promise in enhancing diagnostic accuracy, its a...
Prostatectomy Deep Learning Image Processing, Computer-Assisted Aged Humans Neoplasm Grading Male Prostatic Neoplasms Algorithms Prostate Middle Aged Prognosis Tumor Burden
View on PubMed DOI
Popular Topics
Recent Journals