Dataset Information

Space-time-regulated imaging analyzer for smart coagulation diagnosis.

ABSTRACT: The development of intelligent blood coagulation diagnoses is awaited to meet the current need for large clinical time-sensitive caseloads due to its efficient and automated diagnoses. Herein, a method is reported and validated to realize it through artificial intelligence (AI)-assisted optical clotting biophysics (OCB) properties identification. The image differential calculation is used for precise acquisition of OCB properties with elimination of initial differences, and the strategy of space-time regulation allows on-demand space time OCB properties identification and enables diverse blood function diagnoses. The integrated applications of smartphones and cloud computing offer a user-friendly automated analysis for accurate and convenient diagnoses. The prospective assays of clinical cases (n = 41) show that the system realizes 97.6%, 95.1%, and 100% accuracy for coagulation factors, fibrinogen function, and comprehensive blood coagulation diagnoses, respectively. This method should enable more low-cost and convenient diagnoses and provide a path for potential diagnostic-markers finding.

SUBMITTER: Chen L

PROVIDER: S-EPMC9589004 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Space-time-regulated imaging analyzer for smart coagulation diagnosis.

Chen Longfei L Chen Longfei L Yu Le L Liu Yantong Y Xu Hongshan H Ma Linlu L Tian Pengfu P Zhu Jiaomeng J Wang Fang F Yi Kezhen K Xiao Hui H Zhou Fuling F Yang Yi Y Cheng Yanxiang Y Bai Long L Wang Fubing F Zhu Yimin Y

Cell reports. Medicine 20221006 10

The development of intelligent blood coagulation diagnoses is awaited to meet the current need for large clinical time-sensitive caseloads due to its efficient and automated diagnoses. Herein, a method is reported and validated to realize it through artificial intelligence (AI)-assisted optical clotting biophysics (OCB) properties identification. The image differential calculation is used for precise acquisition of OCB properties with elimination of initial differences, and the strategy of space ...[more]

PMID: 36206751

Similar Datasets

Project description:PurposeThe tablet-based Melbourne Rapid Fields (MRF) visual field (VF) test and the IMOvifa Smart Visual Function Analyzer (SVFA) are portable perimeters that may allow for at-home monitoring and more frequent testing. We compared tablet and SVFA results with outputs from the Humphrey Field Analyzer (HFA) 24-2 Swedish Interactive Threshold Algorithm Standard program.DesignObservational cross-sectional study.SubjectsAdult participants with a diagnosis of glaucoma, suspected glaucoma, or ocular hypertension seen in the Massachusetts Eye and Ear glaucoma clinic were enrolled. All participants were reliable and experienced HFA testers.MethodsParticipants were tested with the SVFA and HFA. The study staff also trained participants on the MRF tablet with instructions to take weekly tests at home for 3 months. Visual field results from the 3 devices were compared.Main outcome measuresMean deviation (MD), pattern standard deviation (PSD), reliability parameters, and point sensitivity.ResultsOverall, 79 participants (133 eyes) with a mean age of 61 ± 13 years (range, 26-79 years) were included; 59% of the participants were female, and the mean HFA MD was -2.7 ± 3.9 dB. The global indices of MD and PSD did not significantly vary between HFA and the 2 novel devices, except that the tablet VF reported a 0.6 dB higher PSD compared with HFA. However, tablet and SVFA sensitivities significantly differed from those of the HFA at 36 and 39 locations, respectively, out of 52 locations. Relative to HFA, the tablet overestimated light sensitivity in the nasal field while underestimating the temporal field. The SVFA generally underestimated light sensitivity, but its results were more similar to HFA results compared with the tablet.ConclusionsAlthough average MD values from the 2 novel devices suggest that they provide similar results to the HFA, point-by-point comparisons highlight notable deviations. Differences in specific point sensitivity values were significant, especially between the tablet and the other 2 devices. These differences may in part be explained by differences in the devices' normative databases as well as how MD is calculated. However, the tablet had substantial differences based on location, indicating that the tablet design itself may be responsible for differences in local sensitivities.Financial disclosure(s)Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Dataset Information

Space-time-regulated imaging analyzer for smart coagulation diagnosis.

Publications

Space-time-regulated imaging analyzer for smart coagulation diagnosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets