Pathology

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

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Integration of AI-Assisted in Digital Cervical Cytology Training: A Comparative Study.

OBJECTIVE: This study aimed to investigate the supporting role of artificial intelligence (AI) in di...

Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?

Fall from a height trauma is characterized by a multiplicity of injuries, related to multiple factor...

Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training.

PURPOSE: To develop a deep learning-based method for robust and rapid estimation of the fatty acid c...

Learning soft tissue deformation from incremental simulations.

BACKGROUND: Surgical planning for orthognathic procedures demands swift and accurate biomechanical m...

AI-driven feature selection and epigenetic pattern analysis: A screening strategy of CpGs validated by pyrosequencing for body fluid identification.

Identification of body fluid stain at crime scene is one of the important tasks of forensic evidence...

Machine Learning Applications in Acute Coronary Syndrome: Diagnosis, Outcomes and Management.

Acute coronary syndrome (ACS) is a leading cause of death worldwide. Prompt and accurate diagnosis o...

Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study.

BACKGROUND: Accurate detection of driver gene mutations is crucial for treatment planning and predic...

Diagnostic modalities in the mediastinum and the role of bronchoscopy in mediastinal assessment: a narrative review.

BACKGROUND AND OBJECTIVE: Diagnosis of pathology in the mediastinum has proven quite challenging, gi...

Serum glial fibrillary acidic protein in acute stroke: feasibility to determine stroke-type, timeline and tissue-impact.

BACKGROUND: Interest is emerging regarding the role of blood biomarkers in acute stroke. The aim of ...

Applications of artificial intelligence in regenerative dentistry: promoting stem cell therapy and the scaffold development.

Tissue repair represents a critical concern within the domain of dentistry. On a daily basis, countl...

Automatic segmentation of pericardial adipose tissue from cardiac MR images via semi-supervised method with difference-guided consistency.

BACKGROUND: Accurate and automatic segmentation of pericardial adipose tissue (PEAT) in cardiac magn...

Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology.

Human visual attention allows prior knowledge or expectations to influence visual processing, alloca...

Transfer Contrastive Learning for Raman Spectroscopy Skin Cancer Tissue Classification.

Using Raman spectroscopy (RS) signals for skin cancer tissue classification has recently drawn signi...

Classifying forensically important flies using deep learning to support pathologists and rescue teams during forensic investigations.

Forensic entomology can help estimate the postmortem interval in criminal investigations. In particu...

Deep learning-driven multi-omics sequential diagnosis with Hybrid-OmniSeq: Unraveling breast cancer complexity.

BackgroundBreast cancer results from an uncontrolled growth of breast tissue. Many methods of diagno...

A multimodal machine learning model for the stratification of breast cancer risk.

Machine learning models for the diagnosis of breast cancer can facilitate the prediction of cancer r...

Predicting cancer content in tiles of lung squamous cell carcinoma tumours with validation against pathologist labels.

BACKGROUND: A growing body of research is using deep learning to explore the relationship between tr...

Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet.

Cancer, a global health threat, demands effective diagnostic solutions to combat its impact on publi...

Machine learning-based analysis of programmed cell death types and key genes in intervertebral disc degeneration.

Intervertebral disc degeneration (IVDD) is intricately associated with various forms of programmed c...

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