AIMC Topic: Lung

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Uniportal Robotic Lung Resection Techniques.

Thoracic surgery clinics
Uniportal video-assisted thoracic surgical (U-VATS) and telerobotic techniques have become widely adopted strategies for lung resection and represent a natural progression born of advancing technologic innovation and decades of expanding clinical exp...

Deep-Masker: A Deep Learning-based Tool to Assess Chord Length from Murine Lung Images.

American journal of respiratory cell and molecular biology
Chord length is an indirect measure of alveolar size and a critical endpoint in animal models of chronic obstructive pulmonary disease (COPD). In assessing chord length, the lumens of nonalveolar structures are eliminated from measurement by various ...

Deep learning based reconstruction enables high-resolution electrical impedance tomography for lung function assessment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Recently, deep learning based methods have shown potential as alternative approaches for lung time difference electrical impedance tomography (tdEIT) reconstruction other than traditional regularized least square methods, that have inherent severe il...

Artificial Intelligence Solution for Chest Radiographs in Respiratory Outpatient Clinics: Multicenter Prospective Randomized Clinical Trial.

Annals of the American Thoracic Society
Artificial intelligence (AI)-assisted diagnosis imparts high accuracy to chest radiography (CXR) interpretation; however, its benefit for nonradiologist physicians in detecting lung lesions on CXR remains unclear. To investigate whether AI assistan...

[Deep Learning-driven Pulmonary Nodule Detection from CT Images: Challenges, Current Status and Future Directions].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Automatic detection of pulmonary nodule based on CT images can significantly improve the diagnosis and treatment of lung cancer. Based on the characteristics of CT image and pulmonary nodule, this study summarizes the challenges and recent progresses...

Effects of Expert-Determined Reference Standards in Evaluating the Diagnostic Performance of a Deep Learning Model: A Malignant Lung Nodule Detection Task on Chest Radiographs.

Korean journal of radiology
OBJECTIVE: Little is known about the effects of using different expert-determined reference standards when evaluating the performance of deep learning-based automatic detection (DLAD) models and their added value to radiologists. We assessed the conc...

Complex Robotic Lung Resection.

Thoracic surgery clinics
Performing robotic thoracic lung resection is becoming an option for patients with complex thoracic disease. The robotic-assisted approach has similar survival with decreased postoperative pain, morbidity, and hospital length of stay compared with th...

Biportal robotic pulmonary lobectomy, initial experience - case report.

Rozhledy v chirurgii : mesicnik Ceskoslovenske chirurgicke spolecnosti
INTRODUCTION: Thanks to perfect visualization and high maneuverability of instruments, the robotic technique is a preferable type of lung resection, even though the number of required incisions is usually higher compared to the video-assisted approac...