AIMC Topic: Humans

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Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
BACKGROUND: Accurate pre-treatment prediction of neoadjuvant chemotherapy (NACT) resistance in patients with locally advanced gastric cancer (LAGC) is essential for timely surgeries and optimized treatments. We aim to evaluate the effectiveness of de...

A novel fast kilovoltage switching dual-energy computed tomography technique with deep learning: Utility for non-invasive assessments of liver fibrosis.

European journal of radiology
PURPOSE: To investigate whether the iodine density of liver parenchyma in the equilibrium phase and extracellular volume fraction (ECV) measured by deep learning-based spectral computed tomography (CT) can enable noninvasive liver fibrosis staging.

Meta-analysis of robot-assisted versus video-assisted McKeown esophagectomy for esophageal cancer.

Updates in surgery
We aim to review the available literature on patients with esophageal cancer treated with robot-assisted (RAME) or video-assisted McKeown's esophagectomy (VAME), to compare the efficacy and safety of the two approaches. Original research studies that...

Long-term outcomes of robot-assisted radical thymectomy for large thymomas: A propensity matched analysis.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The aim of this study was to evaluate the long-term results of robot-assisted (RATS) thymectomy in the treatment of large thymomas, defined as larger than 5 cm.

Influence of Varied Load Assistance with Exoskeleton-Type Robotic Device on Gait Rehabilitation in Healthy Adult Men.

International journal of environmental research and public health
This study aimed to clarify how the power-assist function of the hybrid assistive limb (HAL), an exoskeleton-type gait-assist device, affected the gait characteristics of patients who wear it, specifically focusing on the "misalignment" of the robot ...

Water Quality Prediction Based on Multi-Task Learning.

International journal of environmental research and public health
Water pollution seriously endangers people's lives and restricts the sustainable development of the economy. Water quality prediction is essential for early warning and prevention of water pollution. However, the nonlinear characteristics of water qu...

Improved prediction of gene expression through integrating cell signalling models with machine learning.

BMC bioinformatics
BACKGROUND: A key problem in bioinformatics is that of predicting gene expression levels. There are two broad approaches: use of mechanistic models that aim to directly simulate the underlying biology, and use of machine learning (ML) to empirically ...

A preliminary prediction model using a deep learning software program for prolonged hospitalization after cardiovascular surgery.

Surgery today
A prolonged length of hospital stay (LOS) has become an important issue among patients undergoing cardiovascular surgery in our aging society. However, there are no established prediction models for a prolonged LOS. We therefore created a prediction ...