Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning.

Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood...

Predicting inflammatory response of biomimetic nanofibre scaffolds for tissue regeneration using machine learning and graph theory.

Tissue regeneration after a wound occurs through three main overlapping and interrelated stages name...

Comparison of the accuracy of GPT-4 and resident physicians in differentiating benign and malignant thyroid nodules.

OBJECTIVE: To assess the diagnostic performance of the GPT-4 model in comparison to resident physici...

Enhancing diagnosis prediction with adaptive disease representation learning.

Diagnosis prediction predicts which diseases a patient is most likely to suffer from in the future b...

Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

OBJECTIVES: Human papillomavirus (HPV) influences the pathobiology of Head and Neck Squamous Cell Ca...

miRNA-Based Diagnosis of Schizophrenia Using Machine Learning.

Diagnostic practices for schizophrenia are unreliable due to the lack of a stable biomarker. However...

Investigation of cell development and tissue structure network based on natural Language processing of scRNA-seq data.

BACKGROUND: Single-cell multi-omics technologies, particularly single-cell RNA sequencing (scRNA-seq...

Using a Longformer Large Language Model for Segmenting Unstructured Cancer Pathology Reports.

PURPOSE: Many Natural Language Processing (NLP) methods achieve greater performance when the input t...

Predictive modeling and optimization in dermatology: Machine learning for skin disease classification.

The accurate diagnosis of skin diseases is crucial for effective patient management and treatment, y...

Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates.

BACKGROUND: Early and accurate confirmation of critically ill neonates with a suspected diagnosis of...

Recent Advances in Structured Illumination Microscopy: From Fundamental Principles to AI-Enhanced Imaging.

Structured illumination microscopy (SIM) has emerged as a pivotal super-resolution technique in biol...

Synergistic transfer learning and adversarial networks for breast cancer diagnosis: benign vs. invasive classification.

Current breast cancer diagnosis methods often face limitations such as high cost, time consumption, ...

Is there any room for ChatGPT AI bot in speech-language pathology?

PURPOSE: This study investigates the potential of the ChatGPT-4.0 artificial intelligence bot to ass...

Accuracy of ChatGPT 3.5, 4.0, 4o and Gemini in diagnosing oral potentially malignant lesions based on clinical case reports and image recognition.

BACKGROUND: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is cruci...

A novel approach for estimating postmortem intervals under varying temperature conditions using pathology images and artificial intelligence models.

Estimating the postmortem interval (PMI) is a critical yet complex task in forensic investigations, ...

Deep Learning-Assisted Diagnosis of Malignant Cerebral Edema Following Endovascular Thrombectomy.

BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thro...

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