Oncology/Hematology

Colon Cancer

Latest AI and machine learning research in colon cancer for healthcare professionals.

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Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer.

Self-supervised learning (SSL) automates the extraction and interpretation of histopathology feature...

Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study.

BACKGROUND AND OBJECTIVE: Spread through air spaces (STAS) is an important factor in determining the...

A deep-learning model for quantifying circulating tumour DNA from the density distribution of DNA-fragment lengths.

The quantification of circulating tumour DNA (ctDNA) in blood enables non-invasive surveillance of c...

Machine Learning-Aided Identification of Fecal Extracellular Vesicle microRNA Signatures for Noninvasive Detection of Colorectal Cancer.

Colorectal cancer (CRC) remains a formidable threat to human health, with considerable challenges pe...

Performance of Machine Learning Models in Predicting BRAF Alterations Using Imaging Data in Low-Grade Glioma: A Systematic Review and Meta-Analysis.

BACKGROUND: Understanding the BRAF alterations preoperatively could remarkably assist in predicting ...

A PET/CT-based 3D deep learning model for predicting spread through air spaces in stage I lung adenocarcinoma.

PURPOSE: This study evaluates a three-dimensional (3D) deep learning (DL) model based on fluorine-18...

Artificial intelligence assessment of tissue-dissection efficiency in laparoscopic colorectal surgery.

PURPOSE: Several surgical-skill assessment tools emphasize the importance of efficient tissue-dissec...

Raman spectroscopy for colorectal tumor margin assessment: A promising tool for real-time surgical delimitation.

Raman spectroscopy is a promising non-invasive technique not only for the rapid and accurate detecti...

Artificial intelligence-based model to predict recurrence after local excision in T1 rectal cancer.

BACKGROUND: According to current guideline, patients with resected specimens showing high-risk featu...

Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment op...

High throughput analysis of rare nanoparticles with deep-enhanced sensitivity via unsupervised denoising.

The large-scale multiparametric analysis of individual nanoparticles is increasingly vital in the di...

Soft-tissue metastasis in esophageal cancer managed by dose escalation radiation therapy: a clinical case and review of literature.

Soft tissue metastasis in esophageal cancer is a very rare entity. A 76-year-old man was referred fo...

Towards full integration of explainable artificial intelligence in colon capsule endoscopy's pathway.

Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of c...

Integration of 101 machine learning algorithm combinations to unveil m6A/m1A/m5C/m7G-associated prognostic signature in colorectal cancer.

Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year o...

Multimodal deep learning: tumor and visceral fat impact on colorectal cancer occult peritoneal metastasis.

OBJECTIVES: This study proposes a multimodal deep learning (DL) approach to investigate the impact o...

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