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Clinical Applications of Artificial Intelligence—An Updated Overview
2022
Journal of Clinical Medicine
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Moreover, a diverse repertoire of methods can be chosen towards creating performant models for use in medical applications, ranging from disease prediction, diagnosis, and prognosis to opting for the most ...
Artificial intelligence has the potential to revolutionize modern society in all its aspects. ...
[86] independent of the images (for testing dataset) Automatic assessment and classification of the EmA test for celiac disease SVM 2597 high-quality IgA class Finland EmA images collected in 2017-2018 ...
doi:10.3390/jcm11082265
pmid:35456357
pmcid:PMC9031863
fatcat:mtzdrc7nyzgbjeyou3h4cuso7a
The Future Role of Machine Learning in Clinical Transplantation
2020
Transplantation
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The use of artificial intelligence and machine learning (ML) has revolutionised our daily lives and will soon be instrumental in healthcare delivery. ...
review, we explore common approaches used in ML in solid organ clinical transplantation and consider opportunities for ML to help clinicians and patients. ...
disease,
and segmentation (eg, identification of organs) to assisting total kidney volume is a biomarker for disease progres-
in complex classification (eg, grades of rejection). ...
doi:10.1097/tp.0000000000003424
pmid:32826798
fatcat:64kbnvm2tjgldptslpt7bhtgwi
The impact of artificial intelligence in medicine on the future role of the physician
2019
PeerJ
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The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. ...
Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of diagnosis and treatment across various specializations. ...
machines'' (Society for the Study of Artificial Intelligence and Simulation of Behavior, 2018) . ...
doi:10.7717/peerj.7702
pmid:31592346
pmcid:PMC6779111
fatcat:wcxq5smsfbarndj6kgxtssampe
SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images
2021
Frontiers in Oncology
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Finally, SuperHistopath is efficient for annotation of ground-truth datasets (as there is no need of boundary delineation), training and application (~5 min for classifying a whole-slide image and as low ...
SuperHistopath efficiently combines i) a segmentation approach using the linear iterative clustering (SLIC) superpixels algorithm applied directly on the whole-slide images at low resolution (5x magnification ...
The neuroblastoma preclinical dataset was built from H&E images collected during previous in vivo studies approved by The Institute of Cancer Research Animal Welfare and Ethical Review Body and performed ...
doi:10.3389/fonc.2020.586292
pmid:33552964
pmcid:PMC7855703
fatcat:clfhj3bqejevhdfzioxwayf77m
The Need for Alternatives to Liver Biopsies: Non-Invasive Analytics and Diagnostics
2021
Hepatic Medicine : Evidence and Research
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Many diseases of the liver can be diagnosed and managed using serological and radiological techniques; the degree of fibrosis and fat can often be assessed by serological or imaging techniques and the ...
Histology remains essential for the diagnosis and management of many disorders affecting the liver. ...
enhance the value of the liver biopsy in the coming years. 77, 78 Recent advances in slide scanners now allow the creation of "digital/virtual" slides that allow whole slide imaging (WSI) and additional ...
doi:10.2147/hmer.s278076
pmid:34163263
pmcid:PMC8214024
fatcat:ioo6ixgwo5c3pafrtsvwxbm2cm
Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey
2023
Journal of Pathology Informatics
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Digital pathology technologies, including whole slide imaging (WSI), have significantly improved modern clinical practices by facilitating storing, viewing, processing, and sharing digital scans of tissue ...
Researchers have proposed various artificial intelligence (AI) solutions for digital pathology applications, such as automated image analysis, to extract diagnostic information from WSI for improving pathology ...
Journal of Pathology Informatics 14 (2023) 100335
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have ...
doi:10.1016/j.jpi.2023.100335
pmid:37928897
pmcid:PMC10622844
fatcat:mhk7i7a7dvegflinf6e27docp4
2021 Index IEEE Journal of Biomedical and Health Informatics Vol. 25
2021
IEEE journal of biomedical and health informatics
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, JBHI Aug. 2021 3073-3081 Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease. ...
doi:10.1109/jbhi.2022.3140980
fatcat:ufig7b54gfftnj3mocspoqbzq4
Artificial Intelligence in Translational Medicine
2021
International Journal of Translational Medicine
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As a consequence of the mentioned scenario, scientific vocabulary was enriched by novel lexicons such as machine learning (ML)/deep learning (DL) and overall artificial intelligence (AI). ...
community to gain access to biological datasets, clinical data and several databases containing billions of pieces of information concerning scientific knowledge. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijtm1030016
fatcat:c6g6ld26gjg6jbkcddauo44qvu
Mass Spectrometry Imaging Spatial Tissue Analysis toward Personalized Medicine
2022
Life
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Complementary information can be obtained from different omic approaches in combination with the traditional macro- and microscopic analysis of the tissue, providing a more complete assessment of the disease ...
In the future, intercenter studies may provide the needed confirmation on the reproducibility, robustness, and applicability of the developed classification models for tissue characterization to assist ...
Machine learning and artificial intelligence (AI) have generally been regarded as competition for human labor and perhaps knowledge for several decades. ...
doi:10.3390/life12071037
pmid:35888125
pmcid:PMC9318569
fatcat:qza72pdl6jdn3jvu5jrgnqmpgi
Diffusion-Weighted MRI in the Genitourinary System
2022
Journal of Clinical Medicine
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The applications extend to whole-body imaging for both neoplastic and non-neoplastic diseases. ...
One of the most promising developments of renal DWI is the estimation of renal fibrosis in chronic kidney disease (CKD) patients. ...
In the kidney, the most promising applications of DWI may be the quantification of renal fibrosis and the prediction of disease evolution in CKD. ...
doi:10.3390/jcm11071921
pmid:35407528
pmcid:PMC9000195
fatcat:4j3uctnhibdjpeff7o2hlmzpkm
Systems biology and clinical cytomics: The 10th Leipziger workshop and the 3rd international workshop on slide-based cytometry
2005
Cytometry Part A
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clinical importance for the assessment of systemic and organspecific autoimmune disease. ...
Conclusion: We developed a whole blood assay to assess the effects of immunosuppressants on apoptosis. ...
Aims: Development of triple fluorescent labeling method for leukocytes and application of SFM for their automated analysis and counting on peripheral blood specimen. ...
doi:10.1002/cyto.a.20204
pmid:16541487
fatcat:3tnq7rzlone57e33u7bqiafuxu
Applicability of lung ultrasound in COVID-19 diagnosis and evaluation of the disease progression: A systematic review
2021
Pulmonology
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With the increase in the number of studies and the use of ultrasound scans, LU has been shown as a useful tool to evaluate progression, therapeutic response and follow-up of pulmonary disease in the patients ...
One of the limitations to the management of the COVID-19 is the diagnostic imaging to evaluate lung impairment and the patients' clinical evolution, mainly, in more severe cases that require admission ...
Acknowledgments The authors are grateful to the professionals in the teams of the referenced pediatric urgency and emergency and pediatric pulmonology units as well as to the University of Campinas radiology ...
doi:10.1016/j.pulmoe.2021.02.004
pmid:33931378
pmcid:PMC7983424
fatcat:vnrwnfpvlbc7tdwxij3uelchgu
PATHOBIOLOGY AND EMERGING TECHNIQUES
2023
Laboratory Investigation
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Counting Ki67 labeling index, a requirement for PanNET diagnosis and management, continues to be challenging. ...
The same observers were asked to divide the same image into a grid of 9 boxes and select the most and least positiveappearing 2 boxes and took their average as the final Ki67. 3) AI method. ...
Comparative Analysis of c-MET Expression Using Image Analysis Model in IHC Stained WSIs Hyeon Seok Yang 1 , Yunseob Hwang 1 , Yoon-La (Yuna) Choi 2 , Kyungsoo Jung 3 , Minjung Sung 3 , Young Kee Shin 4 ...
doi:10.1016/j.labinv.2023.100098
fatcat:k6c6u72cbjfzbow6rwfbtvfmb4
Deep learning in medical imaging and radiation therapy
2018
Medical Physics (Lancaster)
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We introduce the general principles of DL and convolutional neural networks, survey five major areas of application of DL in medical imaging and radiation therapy, identify common themes, discuss methods ...
The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify common and unique challenges, and strategies ...
INTRODUCTION In the last few years, artificial intelligence (AI) has been rapidly expanding and permeating both industry and academia. 2] [3] Every week, there is a news story about an AI system that ...
doi:10.1002/mp.13264
pmid:30367497
pmcid:PMC9560030
fatcat:bottst5mvrbkfedbuocbrstcnm
LIVER PATHOLOGY
2024
Laboratory Investigation
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Ultimately, AMR diagnosis must rely on a multimodal "gold standard" combining clinical, DSA, histopathologic, C4d staining, and other factors. ...
C4d immunohistochemistry (IHC) is used as a marker of AMR; however, the performance characteristics of C4d are not always fully characterized. ...
Whole slide images (WSI) of H&E-stained slides from formalin-fixed, paraffin-embedded tissue were obtained using a spectrum of WSI scanners. ...
doi:10.1016/j.labinv.2024.101663
fatcat:bn77hpcquzamthj7dee6jvti2m
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