Latest AI and machine learning research in colon cancer for healthcare professionals.
The benefits of robot-assisted laparoscopic surgery (RALS) for rectal cancer remain controversial. O...
Deep learning facilitates complex medical data analysis and is increasingly being explored in colore...
Currently, one of the most common causes of death worldwide is cancer. The development of innovative...
PURPOSE: Rapid diagnosis and risk stratification can provide timely treatment for colorectal cancer ...
A model's ability to express its own predictive uncertainty is an essential attribute for maintainin...
METHODS: Patients (363 in total) with stomach adenocarcinoma from The Cancer Genome Atlas (TCGA) coh...
Deep learning has emerged as the leading method in machine learning, spawning a rapidly growing fiel...
Stem cell-derived organoids are a promising tool to model native human tissues as they resemble huma...
Controlled environment agriculture (CEA) is an unconventional production system that is resource eff...
Identification of novel non-invasive biomarkers is critical for the early diagnosis of lung adenocar...
An 85-year-old woman presented with a stomachache after a meal and was admitted to the previous clin...
The robust segmentation of organs from the medical image is the key technique in medical image analy...
BACKGROUND: We proposed an artificial intelligence-based immune index, Deep-immune score, quantifyin...
Genes are composed of DNA and each gene has a specific sequence. Recombination or replication within...
OBJECTIVE: To develop and validate a deep learning (DL) signature for predicting lymph node (LN) met...
Endoscopy is essential for polyp diagnosis and prevention of colorectal cancer. Many deep learning m...
Machine learning has been recently used especially in the medical field. In the diagnosis of serious...
BACKGROUND: Histopathology of nasal polyps contains rich prognostic information, which is difficult ...
AIMS: The reporting of tumour cellularity in cancer samples has become a mandatory task for patholog...
BACKGROUND AND AIMS: Publicly available databases containing colonoscopic imaging data are valuable ...
Tortuosity of the colon is an important parameter for predicting the course of colonoscopy. Computed...