Smartphone LiDAR System Accurately Measures Maize Architectural Traits Under Field Conditions
A smartphone LiDAR framework accurately quantified maize ear height and leaf angle across extensive field trials.
A smartphone LiDAR framework accurately quantified maize ear height and leaf angle across extensive field trials.
A prospective study of 60 women found thin-slice MRI achieved higher measurement reliability for uterine niches than transvaginal ultrasound or ...
A three-dimensional deep learning pipeline automates total kidney volume measurement and Mayo risk classification from noncontrast CT scans in autosomal ...
A retrospective study reveals that a multimodal artificial intelligence model estimated pleural effusion volumes on chest radiographs with accuracy comparable ...
A prospective study demonstrates that parent-performed smartphone bilirubin screening correlates strongly with laboratory blood tests and visually aligns with algorithmic ...
A deep learning segmentation tool significantly improves observer agreement and lowers false-positive classifications in lung cancer screening assessments.
A prospective primary care study comparing three capillary blood glucose meters with venous serum glucose found substantial systematic biases and ...
Veterinary researchers evaluating arterial blood pressure monitoring in anaesthetised sheep determined that non-invasive oscillometric and Doppler devices achieved clinically acceptable ...
Adapted Framingham Risk Score models using self-reported health data showed high agreement with the original clinical score in a large ...
An ultrasound study of twenty-four individuals with chronic ischemic stroke found high intra-rater reliability and low measurement error for finger ...
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© 2026 Scienmag - Science Magazine