Colon Cancer

Morphologic Evaluation of Hyperchromatic Crowded Groups Present in Cervical Thin Prep Cytology Tests as Identified by the Hologic Genius Digital Diagnostics System: A Descriptive Study.

BACKGROUND: Our descriptive study focused on morphologic characteristics of hyperchromatic crowded groups (HCGs) in ThinPrep cervical cytology tests when reviewed with the artificial intelligence (AI)-assisted Hologic Genius Digital Diagnostics System (HGDDS). METHOD: After IRB approval, our archives were searched over a 1-year period for potential HCGs. A total of 157 slides with HCGs were select...

Addressing Colonoscopy Burden Due to Artificial Intelligence Devices for Polyp Detection.

Development and Validation of Time-to-Event Machine Learning Models for Predicting Disease-Free Survival in Patients with Locally Advanced Colorectal Cancer: A Multicenter Cohort Study.

BACKGROUND: The postoperative prognosis of locally advanced colorectal cancer (LACRC) exhibits significant heterogeneity. However, conventional models...

Skill degradation, false-positive burden, and translational gap of artificial intelligence-assisted colonoscopy.

Structured Integration of an Artificial Intelligence-Based System for the Optical Diagnosis of Colorectal Polyps.

BACKGROUND/AIMS: Recent advances in computer-aided diagnosis (CADx) systems have demonstrated expert-level accuracy in the optical diagnosis of colore...

Clinical Efficacy of Real-Time Artificial Intelligence-Assisted Colonoscopy in Colorectal Polyp Detection: A Prospective Multicenter Randomized Controlled Trial.

BACKGROUND/AIMS: Early detection and removal of colon polyps are critical for preventing colorectal cancer. Computer-aided detection (CADe) systems ha...

Colorectal Surgery Education in 2040.

The Accreditation Council for Graduate Medical Education (ACGME) recently conducted their 10-year specialty-specific revision of the colon and rectal ...

Integrated multi-omics analyses identified the H3K18la-based spatiotemporal characteristics and risk-stratified treatment strategy in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer, characterized by high mortality, recurrence, and metastasis. Despite a...

White Light, Magnifying Endoscopy, Endocytoscopy, and Artificial Intelligence in Diagnosis of Early Colorectal Cancer: A Comparative Study.

OBJECTIVES: Early detection of colorectal cancer is critical for improving prognosis. However, assessing invasion depth-distinguishing between superfi...

Colonoscopy Quality and Strategies for Improvement.

Colonoscopy plays a pivotal role in colorectal cancer (CRC) screening and reduces CRC incidence and mortality. Its effectiveness depends on colonoscop...

Novel growth pattern-specific digital marker of TILs improves stratification of lung adenocarcinoma patients.

Lung adenocarcinoma (LUAD) is one of the most prevalent forms of cancer and continues to be associated with high mortality rates, despite recent advan...

Targeted inhibition of colorectal cancer by nano-dihydroartemisinin liposomes: Insights into the disruption of ABCG2 and BCL2 leading to induction of oxidative stress and metabolic disorder.

PURPOSE: Colorectal cancer is an aggressive malignancy characterized by significant drug resistance and a complex tumor microenvironment. Nano-dihydro...

18F-FDG PET-based ensemble deep learning model for the prediction of lymphovascular invasion in colorectal cancer patients.

OBJECTIVE: The aim of this study was to investigate the diagnostic performance of the 2.5-dimensional (2.5D) ensemble deep learning (DL) model based o...

Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.

Colorectal cancer is usually caused by malignant transformation of early colon polyps. Early polyps are benign, but if left untreated, they can progre...

KLF7 as a biomarker for the pre-metastatic state promotes colorectal cancer liver metastasis via TGFβ autocrine signaling.

Although metastasis-initiating cells drive metastasis, only a certain subpopulation of these cells can successfully disseminate from the primary tumor...

Multiperspective tumor heterogeneity metrics for preoperative prediction of IASLC grading in clinical stage IA lung adenocarcinomas: A multicenter study.

BACKGROUND AND OBJECTIVE: Accurate preoperative prediction of the International Association for the Study of Lung Cancer (IASLC) grades is crucial for...

Microbiome based precision medicine through integrated multiomics and machine learning.

Gut microbiome (GME) is a dynamic ecosystem composed of diverse microorganisms with extensive functional potential that influence host physiology, end...

Advanced artificial intelligence combined with SERS platforms for diagnosis and therapeutic effects of cancer in clinical applications.

Surface-Enhanced Raman Spectroscopy (SERS) has become a valuable way to detect small amounts of molecules due to its high sensitivity. Nonetheless, ap...

Deep learning-assisted metabolic fingerprint profiling based on V-groove and wrinkle-shaped 3D surface-enhanced Raman scattering substrate for early colorectal cancer diagnosis.

Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, yet more than 90 % of deaths are preventable through ...

Malignant pleural mesothelioma classification and survival prediction with CT imaging using ResNet.

OBJECTIVES: This study aims to achieve accurate differentiation of malignant pleural mesothelioma (MPM) from metastatic pleural disease (MPD) and to p...