[HTML][HTML] Developmental and reproductive effects of chemicals associated with unconventional oil and natural gas operations
E Webb, S Bushkin-Bedient, A Cheng… - Reviews on …, 2014 - degruyter.com
Unconventional oil and gas (UOG) operations have the potential to increase air and water
pollution in communities located near UOG operations. Every stage of UOG operation from …
pollution in communities located near UOG operations. Every stage of UOG operation from …
[HTML][HTML] Large scale validation of an early-age eye-tracking biomarker of an autism spectrum disorder subtype
Few clinically validated biomarkers of ASD exist which can rapidly, accurately, and
objectively identify autism during the first years of life and be used to support optimized …
objectively identify autism during the first years of life and be used to support optimized …
Level of attention to motherese speech as an early marker of autism spectrum disorder
Importance Caregivers have long captured the attention of their infants by speaking in
motherese, a playful speech style characterized by heightened affect. Reduced attention to …
motherese, a playful speech style characterized by heightened affect. Reduced attention to …
[HTML][HTML] Get SET early to identify and treatment refer autism spectrum disorder at 1 year and discover factors that influence early diagnosis
Objectives To examine the impact of a new approach, Get SET Early, on the rates of early
autism spectrum disorder (ASD) detection and factors that influence the screen-evaluate …
autism spectrum disorder (ASD) detection and factors that influence the screen-evaluate …
Improved productivity using deep learning–assisted reporting for lumbar spine MRI
Background Lumbar spine MRI studies are widely used for back pain assessment.
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …
[HTML][HTML] Deep learning model for grading metastatic epidural spinal cord compression on staging CT
Simple Summary Metastatic epidural spinal cord compression (MESCC) is a disastrous
complication of advanced malignancy, and early diagnosis is important to prevent …
complication of advanced malignancy, and early diagnosis is important to prevent …
[HTML][HTML] Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT
Introduction: Metastatic spinal cord compression (MSCC) is a disastrous complication of
advanced malignancy. A deep learning (DL) algorithm for MSCC classification on CT could …
advanced malignancy. A deep learning (DL) algorithm for MSCC classification on CT could …
Forget about the right to be forgotten: How about a right to be different?
A Cheng - Te Mata Koi: Auckland University Law Review, 2016 - search.informit.org
Every day, people conduct Google searches. More often than people would admit, these
searches are for specific individuals. As users, we wish to uncover as much information as …
searches are for specific individuals. As users, we wish to uncover as much information as …
Does the lack of gender-specific apnea-hypopnea index cutoff for obstructive sleep apnea impact surgical selection?
CP Chang, E Dierks, A Cheng, Y Ma, SY Liu - Journal of Oral and …, 2021 - Elsevier
Purpose The apnea-hypopnea index (AHI) is the parameter on which the severity of
obstructive sleep apnea (OSA) is based and is also the determinant for both clinicians and …
obstructive sleep apnea (OSA) is based and is also the determinant for both clinicians and …
A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT
JTPD Hallinan, L Zhu, HWN Tan, SJ Hui, X Lim… - European Spine …, 2023 - Springer
Purpose To develop a deep learning (DL) model for epidural spinal cord compression
(ESCC) on CT, which will aid earlier ESCC diagnosis for less experienced clinicians …
(ESCC) on CT, which will aid earlier ESCC diagnosis for less experienced clinicians …