Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: DWI can provide microscopic information on the diffusion of water molecules, whereas T1WI can provide high-resolution anatomical and histological information. PURPOSE: Accurately and effectively fusing different MRI modalities can precisely localize lesion areas and provide rich information for analyzing the nature of lesions. METHODS: We propose a dual-branch medical image fusion netw...
INTRODUCTION: Ocular tumours are detrimental to the quality of life and survival. The diagnostic capabilities of artificial intelligence (AI) have increased in the past decade. This systematic review aims to evaluate the diagnostic performance of AI models across external, anterior segment, and posterior segment ocular tumours. METHODS: A systematic literature search of Ovid Embase, MEDLINE, and t...
UNLABELLED: To identify molecular biomarkers associated with both osteoarthritis (OA) pathology and exercise response through multi-omics integration....
Motivated behaviors are executed by refined brain circuits. Early-life adversity (ELA) is a risk for human affective disorders involving dysregulated ...
Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, remains a major global health concern due to its high incidence and mort...
BACKGROUND: Protocols for standardized assessment of complete colorectal polyp resection are lacking. This may contribute to divergent quality standar...
Positron emission tomography (PET)/computed tomography (CT) for myocardial perfusion imaging (MPI) provides multiple imaging biomarkers, often evaluat...
Breast cancer remains a major global health challenge with high incidence and mortality rates among women. Recent studies have highlighted the critica...
Bladder cancer remains a major global health challenge, characterized by diagnostic uncertainty, substantial treatment costs and high recurrence rates...
Chronic stress affects cognitive function across many domains, including memory, decision making and learning. While the effects of early-life stress ...
The rapid development of multimodal large language models (LLMs) such as GPT and Med-PaLM is reshaping medical practice. Skin cancer, one of the most ...
Accurate segmentation of diverse histological entities is fundamental in computational pathology and critical for clinical diagnosis. Advances in micr...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is an increasingly prevalent condition associated with hepatic complications and card...
OBJECTIVES: Plain abdominal radiography is a widely used imaging modality for diagnosing neonatal necrotizing enterocolitis (NEC), but the characteris...
To uncover novel genetic factors required for Listeria monocytogenes cell infection, we developed an automated high-throughput microscopy screening pi...
OBJECTIVES: To assess the concordance and diagnosis acceptability of differential diagnoses (DDs) generated by artificial intelligence (AI) chatbots c...
Speed of sound (SoS) mapping provides quantitative and localised information about a material's acoustic properties, allowing identification of spatia...
BACKGROUND: Glioma is the most common malignant primary brain tumor. Temozolomide (TMZ) is the standard first-line chemotherapy, but its efficacy is s...
Prostate cancer, among the most prevalent cancer types globally, exhibits marked heterogeneity and varying disease progression and clinical outcomes. ...
BACKGROUND: Histopathologic features have been proposed as clues to potential dermatophyte infection. The inter-observer reproducibility and diagnosti...