AIMC Topic: Humans

Clear Filters Showing 39841 to 39850 of 95995 articles

Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.

Cancer
BACKGROUND: Neoadjuvant chemotherapy (NAC) can downstage tumors and axillary lymph nodes in breast cancer (BC) patients. However, tumors and axillary response to NAC are not parallel and vary among patients. This study aims to explore the feasibility...

A PROMETHEE based outranking approach for the construction of Fangcang shelter hospital using spherical fuzzy sets.

Artificial intelligence in medicine
This study mainly aims to develop two effective and practical multi-criteria group decision-making approaches by taking advantage of the ground-breaking theory of PROMETHEE family of outranking methods. The presented variants of Preference Ranking Or...

Smart Pneumatic Artificial Muscle Using a Bend Sensor like a Human Muscle with a Muscle Spindle.

Sensors (Basel, Switzerland)
Shortage of labor and increased work of young people are causing problems in terms of care and welfare of a growing proportion of elderly people. This is a looming social problem because people of advanced ages are increasing. Necessary in the fields...

Interactive 3D Force/Torque Parameter Acquisition and Correlation Identification during Primary Trocar Insertion in Laparoscopic Abdominal Surgery: 5 Cases.

Sensors (Basel, Switzerland)
Laparoscopic procedures have become indispensable in gastrointestinal surgery. As a minimally invasive process, it begins with primary trocar insertion. However, this step poses the threat of injuries to the gastrointestinal tract and blood vessels. ...

Classification and Prediction on Hypertension with Blood Pressure Determinants in a Deep Learning Algorithm.

International journal of environmental research and public health
Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in a deep learning algorithm. The objective of this study is to develop a deep learning algorithm for the classification and prediction of hypertension w...

Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study.

International journal of environmental research and public health
BACKGROUND: The possible benefits of using semantic language models in the early diagnosis of major ischemic stroke (MIS) based on artificial intelligence (AI) are still underestimated. The present study strives to assay the feasibility of the word2v...

Automated Detection of Surgical Implants on Plain Knee Radiographs Using a Deep Learning Algorithm.

Medicina (Kaunas, Lithuania)
: The number of patients who undergo multiple operations on a knee is increasing. The objective of this study was to develop a deep learning algorithm that could detect 17 different surgical implants on plain knee radiographs. : An internal dataset c...

Totally endoscopic non-robotic excision of aortic valve fibroelastoma: a case report.

Journal of cardiothoracic surgery
BACKGROUND: Papillary fibroelastomas (PFEs) are a rare subtype of benign primary cardiac tumours, which are most commonly found on the aortic valve. Although median sternotomy is still used frequently there has been different attempts to remove the a...

Network Public Opinion Risk Prediction and Judgment Based on Deep Learning: A Model of Text Sentiment Analysis.

Computational intelligence and neuroscience
Under the background of the gradual development and popularization of mobile Internet information technology, this paper realizes network public opinion monitoring and emotion analysis based on the deep learning method, aiming at the research needs o...

Deep learning-based dynamic PET parametric K image generation from lung static PET.

European radiology
OBJECTIVES: PET/CT is a first-line tool for the diagnosis of lung cancer. The accuracy of quantification may suffer from various factors throughout the acquisition process. The dynamic PET parametric K provides better quantification and improve speci...