Oncology/Hematology

Automatic Multiclass Tissue Segmentation Using Deep Learning in Brain MR Images of Tumor Patients.

OBJECTIVE: Precise delineation of brain tissues, including lesions, in MR images is crucial for data...

Advances in intraoperative imaging technologies for complex biliary disease.

Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improv...

A Study Protocol for a Comprehensive Evaluation of Two Artificial Intelligence-Based Tools in Title and Abstract Screening for the Development of Evidence-Based Cancer Guidelines.

BACKGROUND: Conducting a systematic review (SR) is a time-intensive process and represents the first...

DNA-Mediated Bioinspired MXene Gas Sensor Array with Machine Learning for Noninvasive Cancer Recognition.

Noninvasive odor sensing is important in environmental monitoring and medical diagnosis. The two-dim...

Profiling antigen-binding affinity of B cell repertoires in tumors by deep learning predicts immune-checkpoint inhibitor treatment outcomes.

The capability to profile the landscape of antigen-binding affinities of a vast number of antibodies...

Avatar: Personalized Precision Radio-Genomic Theranostic Oncology.

Creation of a virtual avatar of a patient with cancer has the potential to transform theranostics in...

Letter to editor: an artificial intelligence model for nuclear grading of clear cell renal cell carcinoma using whole slide images: a retrospective, multicentre, diagnostic study.

Letter to the editor regarding "an artificial intelligence model for nuclear grading of clear cell renal cell carcinoma using whole slide images: a retrospective, multicentre, diagnostic study".

Artificial Intelligence-Based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study.

BACKGROUND: Treatment of metastatic spinal disease often involves surgical intervention; however, su...

Advances in Breast Cancer Detection: Biomarkers, Mechanisms, and Biosensor Technologies.

Breast cancer (BC), the most common cancer in women, remains a global health concern. According to t...

3Mont: A multi-omics integrative tool for breast cancer subtype stratification.

Breast Cancer (BRCA) is a heterogeneous disease, and it is one of the most prevalent cancer types am...

Diagnosis, clinical management, and emerging strategies for coronary artery disease in patients with cancer.

The intersection of cancer and coronary artery disease (CAD) presents complex clinical challenges re...

The impact of AI explanations on clinicians' trust and diagnostic accuracy in breast cancer.

Advances in machine learning have created new opportunities to develop artificial intelligence (AI)-...

A machine learning model integrating clinical-radiomics-deep learning features accurately predicts postoperative recurrence and metastasis of primary gastrointestinal stromal tumors.

OBJECTIVES: Post-surgical prediction of recurrence or metastasis for primary gastrointestinal stroma...

A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma.

Multivariate Screening and Automated Clustering of Macrophage Immunoreactome to Nanoparticles and Photothermal Therapy.

Immunotherapy aims to control the immune system against diseases such as cancer or infections. Nanot...

Unraveling the role of perineural invasion in cancer progression across multiple tumor types.

Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...

Aptamer-directed siRNA delivery systems for triple-negative breast cancer therapy.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...

Advancing Design Strategy of PROTACs for Cancer Therapy.

Proteolysis targeting chimeras (PROTACs) have emerged as a groundbreaking class of anticancer therap...

Diagnostic Performance of Radiomics for Differentiating Intrahepatic Cholangiocarcinoma from Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.

BACKGROUND: Differentiating intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC...

Two-stage ensemble learning framework for automated classification of keratoconus severity.

BACKGROUND AND OBJECTIVE: Accurate staging of keratoconus (KC) is crucial for timely intervention an...