AI Medical Compendium Journal:
International journal of colorectal disease

Showing 1 to 10 of 27 articles

Deep learning algorithms for predicting pathological complete response in MRI of rectal cancer patients undergoing neoadjuvant chemoradiotherapy: a systematic review.

International journal of colorectal disease Jan 20, 2025
PURPOSE: This systematic review examines the utility of deep learning algorithms in predicting pathological complete response (pCR) in rectal cancer patients undergoing neoadjuvant chemoradiotherapy (nCRT). The primary goal is to evaluate the perform...
Humans Algorithms Magnetic Resonance Imaging Rectal Neoplasms Chemoradiotherapy Deep Learning Treatment Outcome Neoadjuvant Therapy
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RE: Communicative competence of generative artificial intelligence in responding to patient queries about colorectal cancer surgery.

International journal of colorectal disease Jul 5, 2024
Communication Humans Artificial Intelligence Colorectal Neoplasms
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Evaluating the prognostic value of tumor deposits in non-metastatic lymph node-positive colon adenocarcinoma using Cox regression and machine learning.

International journal of colorectal disease Jun 26, 2024
BACKGROUND: The 8th AJCC TNM staging for non-metastatic lymph node-positive colon adenocarcinoma patients(NMLP-CA) stages solely by lymph node status, irrespective of the positivity of tumor deposits (TD). This study uses machine learning and Cox reg...
Female Aged Male Humans Machine Learning Prognosis Adenocarcinoma Lymphatic Metastasis Neoplasm Staging Middle Aged Lymph Nodes Nomograms Colonic Neoplasms SEER Program Proportional Hazards Models
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Communicative competence of generative artificial intelligence in responding to patient queries about colorectal cancer surgery.

International journal of colorectal disease Jun 20, 2024
PURPOSE: To examine the ability of generative artificial intelligence (GAI) to answer patients' questions regarding colorectal cancer (CRC).
Colorectal Neoplasms Communication Male Humans Middle Aged Artificial Intelligence Surveys and Questionnaires Female Colorectal Surgery
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Machine learning-based response assessment in patients with rectal cancer after neoadjuvant chemoradiotherapy: radiomics analysis for assessing tumor regression grade using T2-weighted magnetic resonance images.

International journal of colorectal disease May 24, 2024
PURPOSE: This study aimed to assess tumor regression grade (TRG) in patients with rectal cancer after neoadjuvant chemoradiotherapy (NCRT) through a machine learning-based radiomics analysis using baseline T2-weighted magnetic resonance (MR) images.
Neoadjuvant Therapy Magnetic Resonance Imaging Neoplasm Grading Rectal Neoplasms Chemoradiotherapy, Adjuvant Chemoradiotherapy Middle Aged Humans ROC Curve Treatment Outcome Machine Learning Female Adult Aged Radiomics Male
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Short-term and long-term efficacy in robot-assisted treatment for mid and low rectal cancer: a systematic review and meta-analysis.

International journal of colorectal disease Dec 21, 2023
OBJECTIVE: This study aims to conduct a meta-analysis to evaluate the short-term and long-term therapeutic effects of robot-assisted laparoscopic treatment in patients with mid and low rectal cancer.
Anastomotic Leak Databases, Factual Conversion to Open Surgery Neoplasms Humans Robotics
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Robotic colorectal resection in combination with a multimodal enhanced recovery program - results of the first 100 cases.

International journal of colorectal disease Apr 13, 2023
PURPOSE: In Germany, colorectal robot-assisted surgery (RAS) has found its way and is currently used as primary technique in colorectal resections at our clinic. We investigated whether RAS can be extensively combined with enhanced recovery after sur...
Colorectal Neoplasms Postoperative Complications Length of Stay Robotics Laparoscopy Robotic Surgical Procedures Humans Prospective Studies Aged Rectum Anastomotic Leak
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Assessing the learning curve of robot-assisted total mesorectal excision: a multicenter study considering procedural safety, pathological safety, and efficiency.

International journal of colorectal disease Jan 11, 2023
PURPOSE: Evidence regarding the learning curve of robot-assisted total mesorectal excision is scarce and of low quality. Case-mix is mostly not taken into account, and learning curves are based on operative time, while preferably clinical outcomes an...
Margins of Excision Intraoperative Complications Learning Curve Humans Retrospective Studies Laparoscopy Postoperative Complications Rectum Treatment Outcome Rectal Neoplasms Robotics
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Preoperative prediction of lymph node status in patients with colorectal cancer. Developing a predictive model using machine learning.

International journal of colorectal disease Nov 26, 2022
PURPOSE: Develop a prediction model to determine the probability of no lymph node metastasis (pN0) in patients with colorectal cancer.
Area Under Curve Colorectal Neoplasms Lymph Nodes Lymphatic Metastasis Humans Machine Learning Retrospective Studies
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Local recurrence of robot-assisted total mesorectal excision: a multicentre cohort study evaluating the initial cases.

International journal of colorectal disease Jun 16, 2022
PURPOSE: Evidence regarding local recurrence rates in the initial cases after implementation of robot-assisted total mesorectal excision is limited. This study aims to describe local recurrence rates in four large Dutch centres during their initial c...
Neoplasm Recurrence, Local Treatment Outcome Humans Rectal Neoplasms Robotics Disease-Free Survival Cohort Studies Laparoscopy
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