Pathology

Integrated Analysis of Proteomic and Dermoscopy Imaging Data Improves Noninvasive Classification of Benign Nevi and Melanoma.

Simultaneous detection of trace protein biomarkers from a single drop of blood using AI-enhanced smartphone-based digital microscopy.

The detection of early-stage diseases is often impeded by the low concentrations of protein biomarke...

3D velocity and pressure field reconstruction in the cardiac left ventricle via physics informed neural network from echocardiography guided by 3D color Doppler.

Fluid dynamics of the heart chamber can provide critical biological cues for understanding cardiac h...

A Perspective on Artificial Intelligence for Molecular Pathologists.

The widespread adoption of next-generation sequencing technology in molecular pathology has enabled ...

Diagnosis and treatment of a rare bilateral primary thyroid cancer: a case report.

Preoperative ultrasound examination of thyroid nodules is the most economical and effective screenin...

Monitoring Immunohistochemical Staining Variations Using Artificial Intelligence on Standardized Controls.

Quality control of immunohistochemistry (IHC) slides is crucial to ascertain accurate patient manage...

Artificial intelligence in gastrointestinal cancer research: Image learning advances and applications.

With the rapid advancement of artificial intelligence (AI) technologies, including deep learning, la...

Comparative analysis of machine learning models for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer: An MRI radiomics approach.

PURPOSE: The aim of this work is to compare different machine learning models for predicting patholo...

A metabolic fingerprint of ovarian cancer: a novel diagnostic strategy employing plasma EV-based metabolomics and machine learning algorithms.

Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alter...

A machine learning-based investigation of integrin expression patterns in cancer and metastasis.

Integrins, a family of transmembrane receptor proteins, are well known to play important roles in ca...

Bioinspired design of a tissue-engineered ray with machine learning.

In biomimetic design, researchers recreate existing biological structures to form functional devices...

Accuracy of Commercial Large Language Model (ChatGPT) to Predict the Diagnosis for Prehospital Patients Suitable for Ambulance Transport Decisions: Diagnostic Accuracy Study.

OBJECTIVES: While ambulance transport decisions guided by artificial intelligence (AI) could be usef...

Machine Learning-Driven Identification of Molecular Subgroups in Medulloblastoma via Gene Expression Profiling.

AIMS: Medulloblastoma (MB) is the most prevalent malignant brain tumour in children, characterised b...

Molecular structure of NRG-1 protein and its impact on adult hypertension and heart failure: A new clinical Indicator diagnosis based on advanced machine learning.

The purpose of this study was to investigate the molecular structure of NRG-1 protein and its mechan...

Artificial intelligence in digital pathology - time for a reality check.

The past decade has seen the introduction of artificial intelligence (AI)-based approaches aimed at ...

ChatExosome: An Artificial Intelligence (AI) Agent Based on Deep Learning of Exosomes Spectroscopy for Hepatocellular Carcinoma (HCC) Diagnosis.

Large language models (LLMs) hold significant promise in the field of medical diagnosis. There are s...

Detection of metastatic breast carcinoma in sentinel lymph node frozen sections using an artificial intelligence-assisted system.

We developed an automatic method based on a convolutional neural network (CNN) that identifies metas...

Deep learning paradigms in lung cancer diagnosis: A methodological review, open challenges, and future directions.

Lung cancer is the leading cause of global cancer-related deaths, which emphasizes the critical impo...

Multi-modality medical image classification with ResoMergeNet for cataract, lung cancer, and breast cancer diagnosis.

The variability in image modalities presents significant challenges in medical image classification,...

A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters.

BACKGROUND: Screening of malignant hematological diseases is of great importance for their diagnosis...

A promising AI based super resolution image reconstruction technique for early diagnosis of skin cancer.

Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiatio...