AIMC Topic: Colon

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Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

Gastroenterology Sep 24, 2020
BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence (∼10%) of metastasis to lymph nodes. To reduce unnecessary surgical rese...
Colectomy Age Factors Lymph Node Excision Neoplasm Staging Japan Male Middle Aged Risk Assessment Colon Colonoscopy ROC Curve Lymph Nodes Retrospective Studies Follow-Up Studies Humans Female Lymphatic Metastasis Machine Learning Risk Factors Aged Colorectal Neoplasms
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Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.

Scientific reports Sep 1, 2020
Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discrim...
Animals Colon Drug Discovery Deep Learning Image Processing, Computer-Assisted Mice Fluorescent Dyes Cadherins High-Throughput Screening Assays Intestine, Small Carbocyanines Tissue Distribution Immunoconjugates
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Long-Term Bowel Sound Monitoring and Segmentation by Wearable Devices and Convolutional Neural Networks.

IEEE transactions on biomedical circuits and systems Aug 24, 2020
Bowel sounds (BSs), typically generated by the intestinal peristalses, are a significant physiological indicator of the digestive system's health condition. In this study, a wearable BS monitoring system is presented for long-term BS monitoring. The ...
Humans Neural Networks, Computer Colon Wearable Electronic Devices Image Processing, Computer-Assisted
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A machine learning-based prognostic predictor for stage III colon cancer.

Scientific reports Jun 25, 2020
Limited biomarkers have been identified as prognostic predictors for stage III colon cancer. To combat this shortfall, we developed a computer-aided approach which combing convolutional neural network with machine classifier to predict the prognosis ...
Middle Aged Risk Assessment Colon Follow-Up Studies Neoplasm Staging Aged, 80 and over Young Adult Adult Male Colectomy Kaplan-Meier Estimate Neoplasm Recurrence, Local Colonic Neoplasms Disease-Free Survival Image Interpretation, Computer-Assisted Humans Machine Learning Prognosis Female Risk Factors Aged
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Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research.

International journal of surgery (London, England) May 12, 2020
BACKGROUND: Identifying laparoscopic surgical videos using artificial intelligence (AI) facilitates the automation of several currently time-consuming manual processes, including video analysis, indexing, and video-based skill assessment. This study ...
Humans Neural Networks, Computer Rectum Workflow Male Female Middle Aged Aged Colon Aged, 80 and over Clinical Competence Adult Laparoscopy
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Re: "Appraisal and Current Considerations of Robotics in Colon and Rectal Surgery" by Andolfi .

Journal of laparoendoscopic & advanced surgical techniques. Part A May 8, 2020
Humans Colon Robotics Digestive System Surgical Procedures
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Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial.

Gastroenterology May 1, 2020
BACKGROUND & AIMS: One-fourth of colorectal neoplasias are missed during screening colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems allow for real-time computer-aided detection (CADe) of polyps with high accuracy. ...
Adenoma Biopsy Image Interpretation, Computer-Assisted Colonoscopy Deep Learning Time Factors Humans Mass Screening Female Colorectal Neoplasms Aged Male Middle Aged Colon
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An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

Scientific reports Feb 17, 2020
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art comput...
Uterus Image Interpretation, Computer-Assisted Artifacts Datasets as Topic Stomach Urinary Bladder International Cooperation Male Colon Imaging, Three-Dimensional Esophagus Neural Networks, Computer Algorithms Humans Female Endoscopy
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Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.

Gastroenterology Feb 12, 2020
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objecti...
Colon Colonoscopy Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning Humans Young Adult Databases, Factual Predictive Value of Tests Adult Adolescent Prospective Studies Male Biopsy Treatment Outcome Female Middle Aged Remission Induction Reproducibility of Results Wound Healing Image Interpretation, Computer-Assisted Aged Colitis, Ulcerative Aged, 80 and over
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Real-time colorectal cancer diagnosis using PR-OCT with deep learning.

Theranostics Feb 3, 2020
Prior reports have shown optical coherence tomography (OCT) can differentiate normal colonic mucosa from neoplasia, potentially offering an alternative technique to endoscopic biopsy - the current gold-standard colorectal cancer screening and surveil...
Image Processing, Computer-Assisted Tomography, Optical Coherence Middle Aged Humans Colon Aged Diagnosis, Computer-Assisted Aged, 80 and over Deep Learning Colorectal Neoplasms
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