AIMC Topic: Lung Neoplasms

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Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.

JAMA network open Mar 1, 2023
IMPORTANCE: Annual low-dose computed tomographic (LDCT) screening reduces lung cancer mortality, but harms could be reduced and cost-effectiveness improved by reusing the LDCT image in conjunction with deep learning or statistical models to identify ...
Tomography, X-Ray Computed Female Male Humans Deep Learning Lung Neoplasms Early Detection of Cancer Middle Aged Lung
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Robot-assisted resection of multiple lung nodules through combination of intercostal incisions and a subxiphoid incision as a utility port.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 27, 2023
INTRODUCTION: Robotic-assisted thoracic surgery (RATS) via subxiphoid incision may be superior in resection of multiple lung nodules.
Lung Lung Neoplasms Robotics Humans Retrospective Studies Robotic Surgical Procedures Thoracic Surgery, Video-Assisted
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Computed tomography and radiation dose images-based deep-learning model for predicting radiation pneumonitis in lung cancer patients after radiation therapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 25, 2023
PURPOSE: To develop a deep learning model that combines CT and radiation dose (RD) images to predict the occurrence of radiation pneumonitis (RP) in lung cancer patients who received radical (chemo)radiotherapy.
Retrospective Studies Tomography, X-Ray Computed Lung Neoplasms Radiation Dosage Radiation Pneumonitis Humans Deep Learning
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Initial perioperative outcomes of robot-assisted thoracoscopic lobectomy using a confronting setting.

Surgery today Feb 24, 2023
PURPOSE: Most robot-assisted thoracoscopic surgery (RATS) is performed from the vertical view. This study evaluates the initial outcomes of our novel confronting RATS technique, in which the patient was viewed horizontally, as in open thoracotomy.
Robotics Pneumonectomy Humans Retrospective Studies Thoracic Surgery, Video-Assisted Lung Neoplasms Thoracotomy Lymph Node Excision
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Deep learning ensemble 2D CNN approach towards the detection of lung cancer.

Scientific reports Feb 20, 2023
In recent times, deep learning has emerged as a great resource to help research in medical sciences. A lot of work has been done with the help of computer science to expose and predict different diseases in human beings. This research uses the Deep L...
Lung Neoplasms Precancerous Conditions Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Algorithms Humans
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Enhancing Nodule Biopsy Through Technology Integration.

Innovations (Philadelphia, Pa.) Feb 18, 2023
Technology in navigating to peripheral pulmonary nodules has improved in recent years. The recent integration of a robotic platform using shape-sensing technology and mobile cone-beam computed tomography imaging technology has enhanced confidence in ...
Bronchoscopy Lung Neoplasms Biopsy Solitary Pulmonary Nodule Robotics Humans Cone-Beam Computed Tomography
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Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours.

Sensors (Basel, Switzerland) Feb 14, 2023
Lung cancer is one of the most common causes of cancer deaths in the modern world. Screening of lung nodules is essential for early recognition to facilitate treatment that improves the rate of patient rehabilitation. An increase in accuracy during l...
Reproducibility of Results Charadriiformes Animals Lung Neoplasms Deep Learning Carcinoma, Non-Small-Cell Lung Humans Algorithms
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ASO Author Reflections: Which Technique is Superior for Segmentectomy of Small Pulmonary Nodules: Robot-Assisted or Video-Assisted?

Annals of surgical oncology Feb 10, 2023
Pneumonectomy Thoracic Surgery, Video-Assisted Multiple Pulmonary Nodules Robotics Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans
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Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.

BMC bioinformatics Feb 6, 2023
BACKGROUND: Lung cancer is the leading cause of cancer-related deaths worldwide. The majority of lung cancers are non-small cell lung cancer (NSCLC), accounting for approximately 85% of all lung cancer types. The Cox proportional hazards model (CPH),...
Fluorodeoxyglucose F18 Deep Learning Lung Neoplasms Humans Radiopharmaceuticals Carcinoma, Non-Small-Cell Lung Retrospective Studies Positron-Emission Tomography
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Machine intelligence for radiation science: summary of the Radiation Research Society 67th annual meeting symposium.

International journal of radiation biology Feb 6, 2023
The era of high-throughput techniques created big data in the medical field and research disciplines. Machine intelligence (MI) approaches can overcome critical limitations on how those large-scale data sets are processed, analyzed, and interpreted. ...
Humans Artificial Intelligence Lung Neoplasms Big Data Data Mining Child
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