Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Abstract: Lung disease are some of life's most prevalent lung illnesses, which significantly affect morbidity and mortality. The main reason to diagnose these diseases is to ensure early intervention ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Morning Overview on MSN
AI is learning to decode diseases hidden in your DNA
Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...
Abstract: The manual identification of plant diseases through visual examination demands large amounts of labor while showing restricted accuracy and variable scope. The implementation of automatic ...
Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
DPD is seeking a new technology that integrates existing gunfire detection with the ability to launch drones and activate cameras. The goal of the new system is to dispatch drones to a shooting scene ...
1 College of Agronomy, Sichuan Agricultural University, Chengdu, China 2 Yibin Municipal Company of Sichuan Provincial Tobacco Corporation, Yibin, China The final, formatted version of the article ...
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