Pathology

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by...

Revolutionizing diabetes care: the role of artificial intelligence in prevention, diagnosis, and patient care.

UNLABELLED: Millions of people worldwide have diabetes, a disease that is becoming more common and h...

An Information-Extreme Algorithm for Universal Nuclear Feature-Driven Automated Classification of Breast Cancer Cells.

Breast cancer diagnosis heavily relies on histopathological assessment, which is prone to subjectiv...

From Fragile Lives to Forensic Truth: Multimodal Forensic Approaches to Pediatric Homicide and Suspect Death.

Forensic investigation of child homicides presents unique challenges due to the vulnerability of ch...

Combining structural equation modeling analysis with machine learning for early malignancy detection in Bethesda Category III thyroid nodules.

Atypia of Undetermined Significance (AUS), classified as Category III in the Bethesda Thyroid Cytopa...

Using Deep learning to Predict Cardiovascular Magnetic Resonance Findings from Echocardiography Videos.

BACKGROUND: Echocardiography is the most common modality for assessing cardiac structure and functio...

Not There Yet: Rethinking the Path for Echocardiography Tissue Characterization with Artificial Intelligence.

Accuracy Assessment of Human and AI-Assisted Bitewing Radiography and NIRI-Based Methods for Interproximal Caries Detection: A Histological Validation.

INTRODUCTION: This study compared the diagnostic accuracy of interproximal caries detection using in...

Quantitative benchmarking of nuclear segmentation algorithms in multiplexed immunofluorescence imaging for translational studies.

Multiplexed imaging techniques require identifying different cell types in the tissue. To utilize th...

Pixel super-resolved virtual staining of label-free tissue using diffusion models.

Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of u...

Integrated plasma and vegetation proteomic characterization of infective endocarditis for early diagnosis and treatment.

Infective endocarditis, a life-threatening condition, poses challenges for early diagnosis and perso...

Comparison of an Attention-Based Multiple Instance Learning (MIL) With a Visual Transformer Model: Two Weakly Supervised Deep Learning (DL) Algorithms for the Detection of Histopathologic Lesions in the Rat Liver to Distinguish Normal From Abnormal.

The histopathologic evaluation of regulatory toxicity studies using artificial intelligence (AI) has...

Artificial Intelligence for Root Canal Orifice Identification Using Dental Operating Microscope Images: A Preliminary Evaluation.

To evaluate the diagnostic performance of artificial intelligence (AI) in detecting root canal orifi...

Two decades of progress in gastric cancer peritoneal metastasis: a bibliometric perspective on molecular mechanisms and therapeutic innovations.

BACKGROUND: Gastric cancer (GC) is the fifth most common malignant tumor worldwide. The peritoneum i...

Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph.

Lung cancer remains a leading cause of global cancer mortality, demanding precise diagnostic tools f...

Measuring alignment of structural proteins in engineered tissue constructs using polarized Raman spectroscopy.

Measures of structural protein alignment within biological and engineered tissues are needed for imp...

Towards robust medical machine olfaction: Debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles.

Prostate cancer (PCa) is a major, and increasingly global, health concern with current screening and...

Robust evaluation of tissue-specific radiomic features for classifying breast tissue density grades.

PURPOSE: Breast cancer risk depends on an accurate assessment of breast density due to lesion maskin...

Navigating the future of fertility preservation: advanced predictive strategies for treatment outcomes of endometrial atypical hyperplasia and carcinoma.

Due to the decreasing age of onset and the postponement of childbearing, there is a growing number o...

Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care.

Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, a...

Optimizing Artificial Intelligence Thresholds for Mammographic Lesion Detection: A Retrospective Study on Diagnostic Performance and Radiologist-Artificial Intelligence Discordance.

Artificial intelligence (AI)-based systems are increasingly being used to assist radiologists in de...