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Select item 90131711.

Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution

Li Zhang, Xiaoran Yang, Shijian Li, Tianyi Liao, Gang Pan

BMC Bioinformatics. 2022; 23: 136. Published online 2022 Apr 15. doi: 10.1186/s12859-022-04658-2

PMCID:: PMC9013171

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Interrater sleep stage scoring reliability between manual scoring from two European sleep centers and automatic scoring performed by the artificial intelligence–based Stanford-STAGES algorithm

Matteo Cesari, Ambra Stefani, Thomas Penzel, Abubaker Ibrahim, Heinz Hackner, Anna Heidbreder, András Szentkirályi, Beate Stubbe, Henry Völzke, Klaus Berger, Birgit Högl

J Clin Sleep Med. 2021 Jun 1; 17(6): 1237–1247. Published online 2021 Jun 1. doi: 10.5664/jcsm.9174

PMCID:: PMC8314654

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Select item 25473213.

A microcomputer automated circular dichroism spectropolarimeter

Victor C. Zadnik, Karl H. Pearson, Robert Megargle

J Automat Chem. 1981; 3(3): 138–147. doi: 10.1155/S1463924681000394

PMCID:: PMC2547321

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PMC Images search for auto-man

Fig. 3

A) CT1 example of right lung, with Consolidated region overestimated by AUTO probably because of error type 2 B) CT1 example of left lung C) CT3 example of right lung: the Consolidated region decreased for MAN and AUTOMAN because of recovery, instead was overstimated by AUTO probably because of error type 2 D) CT3 particular case of left lung still showing a residual Consolidated Volume. In this case the manual revision with AUTOMAN has removed the C_peak, instead the histogram extracted by AUTO segmentation reproduced as well the MAN reference histogram.

Atlas-based lung segmentation combined with automatic densitometry characterization in COVID-19 patients: Training, validation and first application in a longitudinal study

Phys Med. 2022 Jul 4 ;100:142-152.
Figure 1:

Dot matrix plot with best-fit line and 95% CI shows correlation between automated volume (vol.) and manual hemoperitoneum volume (Pearson r = 0.97; slope, 0.87; 95% CI: 0.83, 0.91). Auto. Seg. = automated segmentation, Man. Seg. = manual segmentation.

A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation

Radiol Artif Intell. 2020 Nov;2(6):e190220.
FIG 2

Evaluation of the software’s colony count accuracy for specimens containing 1 to 100 CFU. Ranges above 0 indicate higher automation counts. Data do not include specimens reported as >100,000 CFU/ml as the actual manual colony count is unknown. Auto, automated; Man, manual.

Evaluation of WASPLab Software To Automatically Read chromID CPS Elite Agar for Reporting of Urine Cultures

J Clin Microbiol. 2020 Jan;58(1):e00540-19.
Figure 6

Differences between automated analysis (Auto) and manually drawn contours (Man). Solid lines are mean differences and dashed lines are the limits of agreement within ±1.96 × standard deviation from the mean. The mean difference values are shown in .

Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis

Front Cardiovasc Med. 2021;8:807728.