Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases
Cardiothoracic and pulmonary diseases are a significant cause of mortality and morbidity worldwide. The COVID-19 pandemic has highlighted the lack of access to clinical care, the overburdened medical system, and the potential of artificial intelligence (AI) in improving medicine. There are a variety...
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| Format: | Online |
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| Jezik: | engleski |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online pristup: | ONIX_20230405_9783036564340_7 |
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| collection | Directory of Open Access Books |
| description | Cardiothoracic and pulmonary diseases are a significant cause of mortality and morbidity worldwide. The COVID-19 pandemic has highlighted the lack of access to clinical care, the overburdened medical system, and the potential of artificial intelligence (AI) in improving medicine. There are a variety of diseases affecting the cardiopulmonary system including lung cancers, heart disease, tuberculosis (TB), etc., in addition to COVID-19-related diseases. Screening, diagnosis, and management of cardiopulmonary diseases has become difficult owing to the limited availability of diagnostic tools and experts, particularly in resource-limited regions. Early screening, accurate diagnosis and staging of these diseases could play a crucial role in treatment and care, and potentially aid in reducing mortality. Radiographic imaging methods such as computed tomography (CT), chest X-rays (CXRs), and echo ultrasound (US) are widely used in screening and diagnosis. Research on using image-based AI and machine learning (ML) methods can help in rapid assessment, serve as surrogates for expert assessment, and reduce variability in human performance. In this Special Issue, “Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases”, we have highlighted exemplary primary research studies and literature reviews focusing on novel AI/ML methods and their application in image-based screening, diagnosis, and clinical management of cardiopulmonary diseases. We hope that these articles will help establish the advancements in AI. |
| format | Online |
| id | doab-20.500.12854ir-98728 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-987282024-04-09T23:15:54Z Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases Antani, Sameer Rajaraman, Sivaramakrishnan lung conventional radiography diagnostic procedure chronic obstructive pulmonary disease COVID-19 computed tomography lungs variability segmentation hybrid deep learning artificial intelligence deep learning computer-based devices radiology thoracic diagnostic imaging chest X-ray CT observer tests performance lung CT images nodule detection VGG-SegNet pre-trained VGG19 cardiac amyloidosis AL/TTR amyloidosis hypertrophic cardiomyopathy left ventricular hypertrophy convolutional neural network Tuberculosis (TB) drug resistance chest X-rays generalization localization Electrical Impedance Tomography lung imaging cardiopulmonary monitoring aorta lung cancer pulmonary artery pulmonary hypertension modality-specific knowledge object detection RetinaNet ensemble learning pneumonia mean average precision source data set supervised classification coronary artery disease machine learning cardiopulmonary disease faster CNN medical imaging X-rays transfer learning explainability n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Cardiothoracic and pulmonary diseases are a significant cause of mortality and morbidity worldwide. The COVID-19 pandemic has highlighted the lack of access to clinical care, the overburdened medical system, and the potential of artificial intelligence (AI) in improving medicine. There are a variety of diseases affecting the cardiopulmonary system including lung cancers, heart disease, tuberculosis (TB), etc., in addition to COVID-19-related diseases. Screening, diagnosis, and management of cardiopulmonary diseases has become difficult owing to the limited availability of diagnostic tools and experts, particularly in resource-limited regions. Early screening, accurate diagnosis and staging of these diseases could play a crucial role in treatment and care, and potentially aid in reducing mortality. Radiographic imaging methods such as computed tomography (CT), chest X-rays (CXRs), and echo ultrasound (US) are widely used in screening and diagnosis. Research on using image-based AI and machine learning (ML) methods can help in rapid assessment, serve as surrogates for expert assessment, and reduce variability in human performance. In this Special Issue, “Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases”, we have highlighted exemplary primary research studies and literature reviews focusing on novel AI/ML methods and their application in image-based screening, diagnosis, and clinical management of cardiopulmonary diseases. We hope that these articles will help establish the advancements in AI. 2023-04-05T12:48:03Z 2023-04-05T12:48:03Z 2023 book ONIX_20230405_9783036564340_7 9783036564340 9783036564357 https://directory.doabooks.org/handle/20.500.12854/98728 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/6735 https://mdpi.com/books/pdfview/book/6735 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6435-7 10.3390/books978-3-0365-6435-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036564340 9783036564357 246 Basel open access |
| spellingShingle | lung conventional radiography diagnostic procedure chronic obstructive pulmonary disease COVID-19 computed tomography lungs variability segmentation hybrid deep learning artificial intelligence deep learning computer-based devices radiology thoracic diagnostic imaging chest X-ray CT observer tests performance lung CT images nodule detection VGG-SegNet pre-trained VGG19 cardiac amyloidosis AL/TTR amyloidosis hypertrophic cardiomyopathy left ventricular hypertrophy convolutional neural network Tuberculosis (TB) drug resistance chest X-rays generalization localization Electrical Impedance Tomography lung imaging cardiopulmonary monitoring aorta lung cancer pulmonary artery pulmonary hypertension modality-specific knowledge object detection RetinaNet ensemble learning pneumonia mean average precision source data set supervised classification coronary artery disease machine learning cardiopulmonary disease faster CNN medical imaging X-rays transfer learning explainability n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases |
| title | Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases |
| title_full | Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases |
| title_fullStr | Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases |
| title_full_unstemmed | Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases |
| title_short | Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases |
| title_sort | artificial intelligence in image based screening diagnostics and clinical care of cardiopulmonary diseases |
| topic | lung conventional radiography diagnostic procedure chronic obstructive pulmonary disease COVID-19 computed tomography lungs variability segmentation hybrid deep learning artificial intelligence deep learning computer-based devices radiology thoracic diagnostic imaging chest X-ray CT observer tests performance lung CT images nodule detection VGG-SegNet pre-trained VGG19 cardiac amyloidosis AL/TTR amyloidosis hypertrophic cardiomyopathy left ventricular hypertrophy convolutional neural network Tuberculosis (TB) drug resistance chest X-rays generalization localization Electrical Impedance Tomography lung imaging cardiopulmonary monitoring aorta lung cancer pulmonary artery pulmonary hypertension modality-specific knowledge object detection RetinaNet ensemble learning pneumonia mean average precision source data set supervised classification coronary artery disease machine learning cardiopulmonary disease faster CNN medical imaging X-rays transfer learning explainability n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | lung conventional radiography diagnostic procedure chronic obstructive pulmonary disease COVID-19 computed tomography lungs variability segmentation hybrid deep learning artificial intelligence deep learning computer-based devices radiology thoracic diagnostic imaging chest X-ray CT observer tests performance lung CT images nodule detection VGG-SegNet pre-trained VGG19 cardiac amyloidosis AL/TTR amyloidosis hypertrophic cardiomyopathy left ventricular hypertrophy convolutional neural network Tuberculosis (TB) drug resistance chest X-rays generalization localization Electrical Impedance Tomography lung imaging cardiopulmonary monitoring aorta lung cancer pulmonary artery pulmonary hypertension modality-specific knowledge object detection RetinaNet ensemble learning pneumonia mean average precision source data set supervised classification coronary artery disease machine learning cardiopulmonary disease faster CNN medical imaging X-rays transfer learning explainability n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230405_9783036564340_7 |