AIMC Topic: Liver
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A new machine-learning method to prognosticate paraquat poisoned patients by combining coagulation, liver, and kidney indices.
PloS one
Oct 19, 2017
The prognosis of paraquat (PQ) poisoning is highly correlated to plasma PQ concentration, which has been identified as the most important index in PQ poisoning. This study investigated the predictive value of coagulation, liver, and kidney indices in...
The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury.
Expert review of gastroenterology & hepatology
Oct 9, 2017
Drug-induced liver injury (DILI) is challenging for drug development, clinical practice and regulation. The Liver Toxicity Knowledge Base (LTKB) provides essential data for DILI study. Areas covered: The LTKB provided various types of data that can b...
Pharmacokinetics, bioavailability, tissue distribution and excretion of tangeretin in rat.
Journal of food and drug analysis
Sep 22, 2017
Tangeretin, 4',5,6,7,8-pentamethoxyflavone, is one of the major polymethoxyflavones (PMFs) existing in citrus fruits, particularly in the peels of sweet oranges and mandarins. Tangeretin has been reported to possess several beneficial bioactivities i...
Development of a highly sensitive and specific ELISA method for the determination of l-corydalmine in SD rats with monoclonal antibody.
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Sep 14, 2017
l-Corydalmine (l-CDL) is a potent analgesic constituent of the traditional Chinese medicine, Rhizoma Corydalis. However, the pharmacokinetic process and tissue distribution of l-CDL in vivo are still unknown. Therefore, it is necessary to establish a...
A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography.
Ultrasound in medicine & biology
Jun 19, 2017
The purpose of the present study was to employ a computer-aided diagnosis system that classifies chronic liver disease (CLD) using ultrasound shear wave elastography (SWE) imaging, with a stiffness value-clustering and machine-learning algorithm. A c...
Organ Location Determination and Contour Sparse Representation for Multiorgan Segmentation.
IEEE journal of biomedical and health informatics
May 17, 2017
Organ segmentation on computed tomography (CT) images is of great importance in medical diagnoses and treatment. This paper proposes organ location determination and contour sparse representation methods (OLD-CSR) for multiorgan segmentation (liver, ...
Research of the master-slave robot surgical system with the function of force feedback.
The international journal of medical robotics + computer assisted surgery : MRCAS
May 17, 2017
BACKGROUND: Surgical robots lack force feedback, which may lead to operation errors. In order to improve surgical outcomes, this research developed a new master-slave surgical robot, which was designed with an integrated force sensor.
Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading.
Computers in biology and medicine
Mar 22, 2017
Accurate cell grading of cancerous tissue pathological image is of great importance in medical diagnosis and treatment. This paper proposes a joint multiple fully connected convolutional neural network with extreme learning machine (MFC-CNN-ELM) arch...
Acoustic window planning for ultrasound acquisition.
International journal of computer assisted radiology and surgery
Mar 11, 2017
UNLABELLED: Autonomous robotic ultrasound has recently gained considerable interest, especially for collaborative applications. Existing methods for acquisition trajectory planning are solely based on geometrical considerations, such as the pose of t...
Experimental evaluation of magnified haptic feedback for robot-assisted needle insertion and palpation.
The international journal of medical robotics + computer assisted surgery : MRCAS
Feb 20, 2017
BACKGROUND: Haptic feedback has been proven to play a key role in enhancing the performance of teleoperated medical procedures. However, due to safety issues, commercially-available medical robots do not currently provide the clinician with haptic fe...
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