AIMC Topic: Biopsy

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Applying Machine Learning for Enhanced MicroRNA Analysis: A Companion Risk Tool for Oral Squamous Cell Carcinoma in Standard Care Incisional Biopsy.

Biomolecules Apr 9, 2024
Machine learning analyses within the realm of oral cancer outcomes are relatively underexplored compared to other cancer types. This study aimed to assess the performance of machine learning algorithms in identifying oral cancer patients, utilizing m...
Machine Learning Algorithms Female Humans Squamous Cell Carcinoma of Head and Neck MicroRNAs Biopsy Mouth Neoplasms Carcinoma, Squamous Cell Male Gene Expression Regulation, Neoplastic
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A natural language processing algorithm accurately classifies steatotic liver disease pathology to estimate the risk of cirrhosis.

Hepatology communications Mar 29, 2024
BACKGROUND: Histopathology remains the gold standard for diagnosing and staging metabolic dysfunction-associated steatotic liver disease (MASLD). The feasibility of studying MASLD progression in electronic medical records based on histological featur...
Natural Language Processing Biopsy Algorithms Fatty Liver Liver Cirrhosis Humans
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Influence of artificial intelligence on the diagnostic performance of endoscopists in the assessment of Barrett's esophagus: a tandem randomized and video trial.

Endoscopy Mar 28, 2024
BACKGROUND: This study evaluated the effect of an artificial intelligence (AI)-based clinical decision support system on the performance and diagnostic confidence of endoscopists in their assessment of Barrett's esophagus (BE).
Barrett Esophagus Esophagoscopy Biopsy Esophageal Neoplasms Video Recording Humans Clinical Competence Decision Support Systems, Clinical Artificial Intelligence Sensitivity and Specificity
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SASAN: ground truth for the effective segmentation and classification of skin cancer using biopsy images.

Diagnosis (Berlin, Germany) Mar 18, 2024
OBJECTIVES: Early skin cancer diagnosis can save lives; however, traditional methods rely on expert knowledge and can be time-consuming. This calls for automated systems using machine learning and deep learning. However, existing datasets often focus...
Humans Deep Learning Image Processing, Computer-Assisted Biopsy Skin Machine Learning Algorithms Skin Neoplasms
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A Baby Step or a Real Giant Stride: Histomic Enabled by Artificial Intelligence to Predict Treatment Response in Pediatric Patients With Ulcerative Colitis.

Gastroenterology Mar 7, 2024
Predictive Value of Tests Biopsy Child Humans Treatment Outcome Artificial Intelligence Colitis, Ulcerative Colon
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Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology.

Scientific reports Mar 4, 2024
Prostate cancer pathology plays a crucial role in clinical management but is time-consuming. Artificial intelligence (AI) shows promise in detecting prostate cancer and grading patterns. We tested an AI-based digital twin of a pathologist, vPatho, on...
Biopsy Pathologists Prostatic Neoplasms Prostate Artificial Intelligence Humans Male
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Advancing Artificial Intelligence Integration Into the Pathology Workflow: Exploring Opportunities in Gastrointestinal Tract Biopsies.

Laboratory investigation; a journal of technical methods and pathology Feb 29, 2024
This review aims to present a comprehensive overview of the current landscape of artificial intelligence (AI) applications in the analysis of tubular gastrointestinal biopsies. These publications cover a spectrum of conditions, ranging from inflammat...
Humans Artificial Intelligence Biopsy Workflow Gastrointestinal Tract Gastrointestinal Diseases
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Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.

Clinical breast cancer Feb 20, 2024
OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.
Female Biopsy Breast Neoplasms Humans Aged Middle Aged Ultrasonography, Mammary ROC Curve Neural Networks, Computer Adult Breast Nomograms Deep Learning Retrospective Studies Follow-Up Studies
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Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3.

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
BACKGROUND: For patients with PI-RADS v2.1 ≥ 3, prostate biopsy is strongly recommended. Due to the unsatisfactory positive rate of biopsy, improvements in clinically significant prostate cancer (csPCa) risk assessments are required.
Prostatic Neoplasms Prostate-Specific Antigen Prostate Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Humans Biopsy Machine Learning Risk Assessment Image Interpretation, Computer-Assisted Aged Retrospective Studies ROC Curve Male Reproducibility of Results Magnetic Resonance Imaging Middle Aged
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Interpretable machine learning model integrating clinical and elastosonographic features to detect renal fibrosis in Asian patients with chronic kidney disease.

Journal of nephrology Feb 5, 2024
BACKGROUND: Non-invasive renal fibrosis assessment is critical for tailoring personalized decision-making and managing follow-up in patients with chronic kidney disease (CKD). We aimed to exploit machine learning algorithms using clinical and elastos...
Fibrosis Male Elasticity Imaging Techniques Female Humans Biopsy Middle Aged Aged Machine Learning Kidney Asian People Severity of Illness Index Adult Prospective Studies Renal Insufficiency, Chronic
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