When does machine learning outperform clinicians? A comparison of prediction accuracy for PTSD treatment outcomes. [PDF]
Held P, Smith DL, Szoke DR, Pridgen SA.
europepmc +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Comparing Refractive Prediction Accuracy of IOL Master 700 and Sirius Utilizing the Barrett Universal II Formula. [PDF]
Yang J +6 more
europepmc +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source
Capsular Tension Ring Implantation Improves Intraocular Lens Power Prediction Accuracy in Cataract with Retinitis Pigmentosa. [PDF]
Li S +9 more
europepmc +1 more source
Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment. [PDF]
Vedula S, Bronstein AM, Marx A.
europepmc +1 more source
Brain-age models with lower age prediction accuracy have higher sensitivity for disease detection. [PDF]
Schulz MA, Siegel NT, Ritter K.
europepmc +1 more source
Explicitly modeling genetic ancestry to improve polygenic prediction accuracy for height in a large, admixed cohort of US Latinos: Findings from HCHS/SOL. [PDF]
Wang X +11 more
europepmc +1 more source
Enhancing heatstroke prediction accuracy with interpretable machine learning: a multi-center data-driven approach. [PDF]
Zeng Q +6 more
europepmc +1 more source
Correction to "Machine learning versus traditional formulas for fetal weight estimation: An international multicenter study evaluating prediction accuracy across birth weight percentiles". [PDF]
europepmc +1 more source

