AI Medical Compendium

A study on a high efficiency phase organization segmentation model for SEM images based on deep learning.

Nanoscale May 26, 2026

Quantitative characterization and analysis of material microstructures play a crucial role in understanding material properties. Traditional U-Net architectures, however, are often vulnerable to noise and prone to overfitting when applied to small da... read more

Multidomain correlates of burnout: A population-based study using supervised machine learning.

Social psychiatry and psychiatric epidemiology May 26, 2026

PURPOSE: Burnout is a growing challenge for individuals and society and understanding risk factors is crucial to develop targeted prevention strategies. Thus, we aimed to determine whether and how burnout relates to different organisational factors, ... read more

Inter-rater reproducibility in medico-legal injury assessment: a pilot study with an exploratory comparison to a large language model.

International journal of legal medicine May 26, 2026

Reproducibility in medico-legal personal injury assessment should be regarded as a fundamental prerequisite for transparent and equitable compensation. However, inter-rater agreement is rarely examined and quantified, even within a single regulatory ... read more

Artificial intelligence potential in ovarian endometriosis imaging: a comparative meta-analysis of transvaginal ultrasound-based AI models and human readers.

Abdominal radiology (New York) May 26, 2026

PURPOSE: Transvaginal ultrasound (TVUS) is widely used for diagnosing ovarian endometriosis but remains limited by significant operator dependency. This systematic review and meta-analysis evaluated the diagnostic accuracy of ultrasound-based artific... read more

Cultural bias in large language models' ability to follow neuroradiology guidelines.

European radiology May 26, 2026

OBJECTIVES: Large language models (LLMs) are increasingly explored as decision-support tools in medical imaging. However, their ability to align with country-specific guidelines, which often diverge, remains uncertain. We set out to evaluate the geog... read more

Beyond target lesions: Prognostic value of longitudinal AI-derived whole-body [1⁸F]FDG PET/CT metrics in metastatic melanoma.

European journal of nuclear medicine and molecular imaging May 26, 2026

PURPOSE: To investigate the prognostic value of an artificial intelligence (AI)-based semi-automated tool for longitudinal whole-body quantification of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) on [1⁸F]FDG PET/CT in patien... read more

Can machine learning predict vessels that encapsulates tumor cluster ptterns and histological differentiation in solitary small (< 5 cm) hepatocellular carcinoma?

Surgery today May 26, 2026

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Machine learning (ML) may enable the noninvasive prediction of histopathological features using clinical and imaging data. This study evaluated the utility of ML in predic... read more

'Man vs. Machine: can ML algorithms diagnose headaches as accurately as clinicians? A systematic review.'.

Journal of neurology May 26, 2026

BACKGROUND: Headache disorders are frequently misdiagnosed. We aimed to systematically evaluate the diagnostic accuracy, methodological quality, and clinical applicability of artificial intelligence (AI) and machine learning (ML) models for classifyi... read more

Integrating single-cell analysis and digital pathology for risk stratification in pancreatic cancer.

Clinical & experimental metastasis May 26, 2026

Early liver metastasis is a major factor contributing to the poor prognosis of pancreatic ductal adenocarcinoma (PDAC). Single-cell RNA sequencing (scRNA-seq) can analyze the heterogeneity between the primary tumor and metastatic lesions, but its wid... read more

Identification of prognostic biomarkers in a large cohort of patients with LGMD R2.