Colon Cancer

Weakly Supervised Attention Map Training for Histological Localization of Colonoscopy Images.

We consider the problem of training a convolutional neural network for histological localization of ...

New approach of prediction of recurrence in thyroid cancer patients using machine learning.

Although papillary thyroid cancers are known to have a relatively low risk of recurrence, several fa...

Artificial intelligence or colonoscopy quality the likes of which have never been seen.

Clinical effect and standardization of indocyanine green angiography in the laparoscopic colorectal surgery.

Anastomotic complications occur after 5% to 20% of operations for rectosigmoid colon cancer. The int...

Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning.

BACKGROUND: Artificial intelligence in colonoscopy is an emerging field, and its application may hel...

Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data.

Most lung cancers are diagnosed at an advanced stage. Presymptomatic identification of high-risk in...

Transanal Minimally Invasive Surgery: A Useful Technique That Continues to Evolve.

Colorectal cancer remains the 3rd most common cancer diagnosed among men and women in the United Sta...

Radiogenomic and Deep Learning Network Approaches to Predict Mutation from Radiotherapy Plan CT.

BACKGROUND/AIM: We aimed to investigate the role of radiogenomic and deep learning approaches in pre...

[Identifying Molecular Subtypes of Whole-Slide Image in Colorectal Cancer via Deep Learning].

OBJECTIVE: To establish an artificial intelligence-assisted diagnosis system for molecular subtyping...

Use of ColonFlag score for prioritisation of endoscopy in colorectal cancer.

OBJECTIVE: Colorectal cancer (CRC) is the fourth most common cancer in UK. Symptomatic patients are ...

Consolidated EHR Workflow for Endoscopy Quality Reporting.

Although colonoscopy is the most frequently performed endoscopic procedure, the lack of standardized...

Noninvasive early diagnosis of intestinal diseases based on artificial intelligence in genomics and microbiome.

The maturing development in artificial intelligence (AI) and genomics has propelled the advances in ...

[A Case of Descending Colon and Rectal Cancer with Acute Myeloid Leukemia Performed Robot‒Assisted Hartmann's Procedure].

The case is a 68‒year‒old male, who had been diagnosed with acute myeloid leukemia(AML)prior to rect...

[A Case of Robot-Assisted Radical Cystoprostatectomy for Locally Advanced Prostate Cancer with Bladder Infiltration].

While robot-assisted radical cystoprostatectomy (RARC) for locally advanced prostate cancer (LAPC) m...

[Clinical outcomes for young patients with muscular invasive bladder cancer who received robot-assisted radical cystectomy].

To evaluate the clinical features, surgical effects and factors that may affect prognosis of muscul...

[Preliminary application and efficacy analysis of transumbilical single-incision plus one port robotic total mesorectal excision].

To investigate the feasibility of transumbilical single-incision plus one port (SIPOP) robotic tota...

Will machines decipher colonoscopy quality from endoscopists' notes?

Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases.

BACKGROUND: Colonoscopy with biopsy is the "gold" standard for evaluating disease activity in inflam...

[Application of artificial intelligence for detection and classification of colon polyps].

Colorectal cancer is one of the most common cancers worldwide, and colonoscopy has proven to be a pr...

Application of Artificial Intelligence in Gastrointestinal Endoscopy.

Artificial intelligence (AI), also known as computer-aided diagnosis, is a technology that enables m...

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroent...