Oncology/Hematology

Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI.

BACKGROUND: Enchondromas (EC) present cartilaginous tumors that are difficult to differentiate from ...

Overall risk of cancer incidence attributable to adult body CT examinations: impact of a seven-year continuous quality improvement program.

OBJECTIVES: To estimate the impact of a continuous dose reduction and quality improvement program on...

Harnessing the gut microbiota in extra-intestinal cancers: from causal evidence to immunotherapy strategies.

The gut microbiota (GM) has emerged as a key modulator of cancer development and therapeutic respons...

Evaluating the Role of Artificial Intelligence in Enhancing Multidisciplinary Team Decisions for Breast Cancer Management.

OBJECTIVE: Multidisciplinary teams (MDTs) are essential for optimizing breast cancer treatment, yet ...

Imaging-Based Prediction of Key Breast Cancer Biomarkers Using Deep Learning on Digital Breast Tomosynthesis.

OBJECTIVE: To evaluate the feasibility of using deep learning models applied to digital breast tomos...

Artificial intelligence and radiomics in bladder cancer MRI: a scoping review of applications, performance, and barriers to clinical translation.

Artificial intelligence (AI) and radiomics show significant potential to augment bladder cancer (BC)...

Deep learning reconstruction enables accelerated T2-weighted MRI for rectal cancer staging: a prospective study of diagnostic consistency across NEX value reduction.

OBJECTIVES: To evaluate the image quality, interpretation consistency, and scanning efficiency of de...

MRI-Based Synthetic CT Shows Promise as a Radiation-Free Alternative to Conventional CT in Orthopaedics.

➢ Computed tomography (CT) remains the gold standard for bone imaging, but radiation risks, especial...

Thrombopoietin receptor agonists in immune thrombocytopenia: a comparative review of mechanisms, efficacy, and the future of personalized management.

INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) have reshaped the management of chronic imm...

Learning from every patient: the 'outpatient innovation clinic'.

OBJECTIVES: To keep pace with rapid medical innovation, health care must be organized to enable syst...

Negligible impact of perifissural nodules in an AI-first reader workflow from UK lung screening trial.

OBJECTIVE: To evaluate the effect of perifissural nodules (PFNs) on radiologist workload within an A...

Predicting the performance of a graphene-based patch antenna using a machine learning model for terahertz applications.

This article presents the design of a graphene-based microstrip patch antenna, operating frequency r...

Explainable AI for gastrointestinal lesion surveillance and precision targeted drug delivery.

The Internet of Bio-NanoThings (IoBNT) promises revolutionary healthcare applications, particularly ...

TCR recognition of peptide-HLA class II complexes in autoimmunity: Structural insights for therapeutic targeting.

Autoimmune diseases encompass a broad spectrum of disorders in which self-reactive T and B cells bre...

Machine learning derived ORC6 as a hub biomarker for predicting tumor microenvironment, prognoses, and therapeutic responses in lung adenocarcinoma.

The origin recognition complex (ORC) is a DNA-binding complex composed of six subunits involved in D...

Predicting early clinical recovery in first-episode psychosis: development and external validation of a clinically interpretable multivariable model.

BACKGROUND: Identifying patients with first-episode psychosis (FEP) who are unlikely to achieve earl...

Comparative study of the image quality and radiation dose in paranasal-sinus CT with different tube voltages and reconstruction algorithms.

ObjectivesTo evaluate the application of different tube voltages and image-reconstruction algorithms...

A deep learning PET/CT biomarker for early progression (POD24) and survival stratification in follicular lymphoma: a multicenter study.

FTO-CHRM3 axis regulates multiple myeloma progression: a machine learning-based identification.

BACKGROUND: Fat Mass and Obesity-Associated (FTO) is linked to multiple myeloma (MM) progression, bu...

Comprehensive multi omics profiling and Mendelian randomization assessment of lipid metabolites in lung cancer prognosis.

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide. This study ...

Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer.

OBJECTIVE: Triple-negative breast cancer (TNBC) exhibits pronounced intratumoral heterogeneity, and ...