Pathology

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

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Single-Cell Sequencing-Guided Annotation of Rare Tumor Cells for Deep Learning-Based Cytopathologic Diagnosis of Early Lung Cancer.

Deep learning (DL) models for medical image analysis are majorly bottlenecked by the lack of well-an...

Diagnosis accuracy of machine learning for idiopathic pulmonary fibrosis: a systematic review and meta-analysis.

BACKGROUND: The diagnosis of idiopathic pulmonary fibrosis (IPF) is complex, which requires lung bio...

Artificial intelligence performance in answering multiple-choice oral pathology questions: a comparative analysis.

BACKGROUND: Artificial intelligence (AI) has rapidly advanced in healthcare and dental education, si...

Rapid diagnosis of membranous nephropathy based on kidney tissue Raman spectroscopy and deep learning.

Membranous nephropathy (MN) is one of the most common glomerular diseases. Although the diagnostic m...

An integrated approach of feature selection and machine learning for early detection of breast cancer.

Breast cancer ranks among the most prevalent cancers in women globally, with its treatment efficacy ...

Accurate bladder cancer diagnosis using ensemble deep leaning.

There are an estimated 1.3 million cases of cancer globally each year, making it one of the most ser...

Surrogate modeling of electrospun PVA/PLA nanofibers using artificial neural network for biomedical applications.

Blending poly (lactic acid) (PLA) with poly (vinyl alcohol) (PVA) improves the strength and hydrophi...

Using pathology images and artificial intelligence to identify bacterial infections and their types.

Bacterial infections pose a significant biosafety concern, making early and accurate diagnosis essen...

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

Artificial intelligence (AI) is an emerging tool in diagnostic pathology, including prostate patholo...

A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides.

Current artificial intelligence (AI) trends are revolutionizing medical image processing, greatly im...

ALL diagnosis: can efficiency and transparency coexist? An explainble deep learning approach.

Acute Lymphoblastic Leukemia (ALL) is a life-threatening malignancy characterized by its aggressive ...

Identification of Recurrence-associated Gene Signatures and Machine Learning-based Prediction in IDH-Wildtype Histological Glioblastoma.

Glioblastoma (GBM) is a highly aggressive brain tumor with frequent recurrence, yet the molecular me...

Towards improved prescription metrics in novel radiotherapy techniques: a machine learning study.

FLASH radiotherapy (RT), microbeam RT (MRT) and minibeam RT (MBRT) are novel RT techniques that have...

Artificial intelligence in the diagnosis and management of refractive errors.

Refractive error is among the leading causes of visual impairment globally. The diagnosis and manage...

Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients.

The precise and efficient diagnosis of an individual's skeletal class is necessary in orthodontics t...

Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection.

Deep learning (DL) enabled liquid-based cytology has potential for cervical cancer screening or tria...

Stable distance regression via spatial-frequency state space model for robot-assisted endomicroscopy.

PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) is a noninvasive technique that enables th...

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