AIMC Topic: Lung Diseases
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Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification.
PloS one
Sep 30, 2015
BACKGROUND: Each lung structure exhales a unique pattern of aerosols, which can be used to detect and monitor lung diseases non-invasively. The challenges are accurately interpreting the exhaled aerosol fingerprints and quantitatively correlating the...
Detection of abnormalities in ultrasound lung image using multi-level RVM classification.
The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Jul 30, 2015
The classification of abnormalities in ultrasound images is the monitoring tool of fluid to air passage in the lung. In this study, the adaptive median filtering technique is employed for the preprocessing step. The preprocessed image is then extract...
A Comparison of SVM and GMM-Based Classifier Configurations for Diagnostic Classification of Pulmonary Sounds.
IEEE transactions on bio-medical engineering
Feb 12, 2015
GOAL: The aim of this study is to find a useful methodology to classify multiple distinct pulmonary conditions including the healthy condition and various pathological types, using pulmonary sounds data.
Obesity and perioperative pulmonary complications in robotic gynecologic surgery.
American journal of obstetrics and gynecology
Jan 28, 2015
OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns about the safety of this approach because the positioning required for pelvic surgery can exacerbate obesity-related changes in respiratory physiology. ...
Robotic and video-assisted thoracic surgery lung segmentectomy for malignant and benign lesions.
Interactive cardiovascular and thoracic surgery
Dec 4, 2014
OBJECTIVES: The experience with robotic techniques (RATS) and video-assisted thoracic surgery (VATS) in pulmonary segmentectomy is still limited. We evaluated our prospectively recorded database to compare two different minimally invasive techniques.
Three-dimensional SVM with latent variable: application for detection of lung lesions in CT images.
Journal of medical systems
Dec 4, 2014
The study aims to improve the performance of current computer-aided schemes for the detection of lung lesions, especially the low-contrast in gray density or irregular in shape. The relative position between suspected lesion and whole lung is, for th...
Factors influencing same-day hospital discharge and risk factors for readmission after robotic surgery in the gynecologic oncology patient population.
Journal of minimally invasive gynecology
Oct 7, 2014
STUDY OBJECTIVE: To determine the factors that allow for a safe outpatient robotic-assisted minimally invasive gynecologic oncology surgery procedure.
Hysterectomy
Ambulatory Surgical Procedures
Cost-Benefit Analysis
Patient Readmission
Genital Neoplasms, Female
Minimally Invasive Surgical Procedures
Patient Discharge
Lung Diseases
Humans
Comorbidity
Length of Stay
Aged
Adolescent
Adult
Age Factors
Male
Robotics
Middle Aged
Logistic Models
Retrospective Studies
Ovariectomy
Female
Risk Factors
A review: Lightweight architecture model in deep learning approach for lung disease identification.
Computers in biology and medicine
Aug 1, 2025
As one of the leading causes of death worldwide, early detection of lung disease is a very important step to improve the effectiveness of treatment. By using medical image data, such as X-ray or CT-scan, classification of lung disease can be done. De...
[Application and progress of artificial intelligence technology in interventional pulmonology].
Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Jul 12, 2025
In recent years, interventional pulmonology has advanced rapidly, with bronchoscopy becoming a cornerstone in the diagnosis and treatment of respiratory diseases. The integration of artificial intelligence (AI) technology has established an intellige...
Non-invasive diagnosis of lung diseases via multimodal feature extraction from breathing audio and chest dynamics.
Computers in biology and medicine
Jun 1, 2025
Early and accurate diagnosis of lung diseases is crucial for effective treatment. While traditional methods have limitations, audio analysis offers a promising non-invasive approach. However, existing studies often rely solely on acoustic features, n...
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