Artificial intelligence assisted cytological detection for early esophageal squamous epithelial lesions by using low‐grade squamous intraepithelial lesion as diagnostic threshold
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.4984
Abstract: Manual cytological diagnosis for early esophageal squamous cell carcinoma (early ESCC) and high‐grade intraepithelial neoplasia (HGIN) is unsatisfactory. Herein, we have introduced an artificial intelligence (AI)‐assisted cytological diagnosis for such lesions. read more here.
Keywords: intelligence assisted; assisted cytological; early esophageal; artificial intelligence ... See more keywords
Toward an artificial intelligence‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3601
Abstract: This article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists… read more here.
Keywords: intelligence assisted; assisted framework; artificial intelligence; model ... See more keywords
Artificial Intelligence-Assisted Bioinformatics, Microneedle, and Diabetic Wound Healing: A "New Deal" of an Old Drug.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c08994
Abstract: Diabetic wounds severely influence life, facing grand challenges in clinical treatments. The demand for better treatment is growing dramatically. Diabetic wound healing is challenging because of inflammation, angiogenesis disruptions, and tissue remodeling. Based on sequencing… read more here.
Keywords: intelligence assisted; wound healing; artificial intelligence; diabetic wound ... See more keywords
Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3137984
Abstract: Recent developments in the Internet of Vehicles (IoV) enable interconnected vehicles to support ubiquitous services. Various emerging service applications are promising to increase the Quality of Experience (QoE) of users. On-board computation tasks generated by… read more here.
Keywords: intelligence assisted; resource management; intelligence; resource ... See more keywords
Artificial Intelligence Assisted Noncontact Microwave Sensor for Multivariable Biofuel Analysis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2020.3032870
Abstract: Multivariable component analysis is one of the most challenging topics in the area of microwave resonator based sensors. In this article, a new approach is developed for introducing new independent features for analyzing the volumetric… read more here.
Keywords: assisted noncontact; biofuel; analysis; artificial intelligence ... See more keywords
Accuracy of artificial intelligence‐assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta‐analysis
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Digestive Diseases"
DOI: 10.1111/1751-2980.12992
Abstract: To investigate systematically previous studies on the accuracy of artificial intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on endoscopic images so as to provide scientific evidence for the effectiveness of these models. read more here.
Keywords: endoscopic images; neoplasms endoscopic; artificial intelligence; accuracy artificial ... See more keywords
The Value of Artificial Intelligence-Assisted Imaging in Identifying Diagnostic Markers of Sarcopenia in Patients with Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Disease Markers"
DOI: 10.1155/2022/1819841
Abstract: Sarcopenia is defined as the loss of skeletal muscle mass and muscle function. It is common in patients with malignancies and often associated with adverse clinical outcomes. The presence of sarcopenia in patients with cancer… read more here.
Keywords: intelligence assisted; patients cancer; sarcopenia patients; artificial intelligence ... See more keywords
Artificial intelligence-assisted CT characterizations and quantitative analysis for differentiating pre-invasive lesions from invasive adenocarcinomas in pulmonary subsolid nodules ≤ 2cm.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2020.38.15_suppl.e21614
Abstract: e21614Background: The use of artificial intelligence (AI) in medical imaging has dramatically improved the quality of segmentation including accuracy, efficiency and reproducibility. This study sou... read more here.
Keywords: intelligence; quantitative analysis; artificial intelligence; assisted characterizations ... See more keywords
Identification of technology frontiers of artificial intelligence-assisted pathology based on patent citation network
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DOI: 10.1371/journal.pone.0273355
Abstract: Objectives This paper aimed to identify the technology frontiers of artificial intelligence-assisted pathology based on patent citation network. Methods Patents related to artificial intelligence-assisted pathology were searched and collected from the Derwent Innovation Index (DII),… read more here.
Keywords: intelligence assisted; assisted pathology; technology; patent ... See more keywords
Investigating public behavior with artificial intelligence-assisted detection of face mask wearing during the COVID-19 pandemic
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DOI: 10.1371/journal.pone.0281841
Abstract: Objectives Face masks are low-cost, but effective in preventing transmission of COVID-19. To visualize public’s practice of protection during the outbreak, we reported the rate of face mask wearing using artificial intelligence-assisted face mask detector,… read more here.
Keywords: intelligence assisted; mask; artificial intelligence; face mask ... See more keywords
Patient Perspectives on the Usefulness of an Artificial Intelligence–Assisted Symptom Checker: Cross-Sectional Survey Study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Internet Research"
DOI: 10.2196/14679
Abstract: BACKGROUND Patients are increasingly seeking Web-based symptom checkers to obtain diagnoses. However, little is known about the characteristics of the patients who use these resources, their rationale for use, and whether they find them accurate… read more here.
Keywords: assisted symptom; 304 patients; symptom checker; checker ... See more keywords