Latest AI and machine learning research in colon cancer for healthcare professionals.
Recently, Deep Learning, especially through Convolutional Neural Networks (CNNs) has been widely use...
BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-t...
PURPOSE: A phase 2 protocol was designed and implemented to assess the toxicity and efficacy of hypo...
We evaluated the application of three machine learning algorithms, including logistic regression, su...
Non-small cell lung cancer (NSCLC) is the leading cause of cancer related deaths worldwide. But no o...
Minimally invasive surgery has gained worldwide acceptance in the treatment of colonic cancer in the...
Detection and classification of cell nuclei in histopathology images of cancerous tissue stained wit...
This paper presents a method of characterizing the distribution of colorectal morphometrics. It uses...
PURPOSE: Treatment of patients with para-aortic lymph node metastasis from colorectal cancer is cont...
Aims. To evaluate the prognostic significance of serum interleukin-6 (IL-6) in colorectal cancer (CR...
PURPOSE: Sexual and urinary dysfunctions are complications in radical treatment of deep infiltrating...
Silver nanoclusters and graphene oxide nanocomposite (AgNCs/GRO) is synthesized and functionalized w...
BACKGROUND: Venous thromboembolism is the most common preventable cause of hospital death. The objec...
BACKGROUND: Data on prognostic implications of peri-operative blood transfusion around resection of ...
There is growing evidence that individuals with colonic adenomas and carcinomas harbor a distinct mi...
Automated computer-aided detection (CADe) has been an important tool in clinical practice and resear...
At our institute, a non-suturing method for closure of the umbilical epidermis has been used in lapa...
MicroRNAs (miRNAs) act as a major biomarker of cancer. All miRNAs in human body are not equally impo...
BACKGROUND AND STUDY AIMS: We introduced a new platform for performing colonoscopy with robotic stee...
BACKGROUND: Previous reports have described several candidates, which have the potential to replace ...
BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the ...