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Colorectal Neoplasms

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Machine learning based local recurrence prediction in colorectal cancer using polarized light imaging.

Journal of biomedical optics
SIGNIFICANCE: Current treatment for stage III colorectal cancer (CRC) patients involves surgery that may not be sufficient in many cases, requiring additional adjuvant systemic therapy. Identification of this latter cohort that is likely to recur fol...

Shedding Light on Colorectal Cancer: An In Vivo Raman Spectroscopy Approach Combined with Deep Learning Analysis.

International journal of molecular sciences
Raman spectroscopy has emerged as a powerful tool in medical, biochemical, and biological research with high specificity, sensitivity, and spatial and temporal resolution. Recent advanced Raman systems, such as portable Raman systems and fiber-optic ...

Conversational artificial intelligence (chatGPT™) in the management of complex colorectal cancer patients: early experience.

ANZ journal of surgery
INTRODUCTION: In 2022 chatGPT™ (OpenAI, San Francisco) was introduced to the public. The complex reasoning and the natural language processing (NLP) ability of the AI platform has generated much excitement about the potential applications. This study...

A prospective phase II clinical trial/IDEAL Stage 2a series of single-port robotic colorectal surgery for abdominal and transanal cases.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: Slow laparoscopy adoption accelerated the uptake of robotic surgery. However, the current robotic platforms have limitations in transanal applications and multiple port sites. The da Vinci single-port (SP) robot is currently used on trial for co...

Robotic colorectal surgery and future directions.

American journal of surgery
As the adoption of robotic-assisted procedures expands across various surgical specialties, colorectal surgery stands out as a prominent beneficiary. This rise in usage can be traced back to the increased accessibility of robotic platforms and a grow...

Feasibility of robotic multivisceral resections in colorectal cancer patients: a NSQIP-based study.

Journal of robotic surgery
Multivisceral robotic surgery may be an alternative to sequential procedures in select patients with colorectal cancer who are diagnosed with synchronous lesions or in those who require additional procedures at the time of resection. The aim of this ...

Current Status and Emerging Trends in Colorectal Cancer Screening and Diagnostics.

Biosensors
Colorectal cancer (CRC) is a prevalent and potentially fatal disease categorized based on its high incidences and mortality rates, which raised the need for effective diagnostic strategies for the early detection and management of CRC. While there ar...

A real-time deep learning-based system for colorectal polyp size estimation by white-light endoscopy: development and multicenter prospective validation.

Endoscopy
BACKGROUND: The choice of polypectomy device and surveillance intervals for colorectal polyps are primarily decided by polyp size. We developed a deep learning-based system (ENDOANGEL-CPS) to estimate colorectal polyp size in real time.

Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning.

Cancer imaging : the official publication of the International Cancer Imaging Society
OBJECTIVES: The goal of this study is to demonstrate the performance of radiomics and CNN-based classifiers in determining the primary origin of gastrointestinal liver metastases for visually indistinguishable lesions.

Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.

European journal of radiology
OBJECTIVE: To explore whether reduced-dose (RD) gemstone spectral imaging (GSI) and deep learning image reconstruction (DLIR) of 40 keV virtual monoenergetic image (VMI) enhanced the early detection and diagnosis of colorectal cancer liver metastases...