Results 121 to 130 of about 10,242,979 (306)
Application of deep learning artificial intelligence technique to the classification of clinical orthodontic photos. [PDF]
BMC Oral Health, 2022 Ryu J +5 more
europepmc +1 more source
Advancing Human Skin Equivalents: The Crucial Role of Neurovascular Integration
Advanced Healthcare Materials, EarlyView.This review discusses the importance of integrating vascular and peripheral nerve systems into human skin equivalents (HSEs) to better recapitulate native skin physiology. Recent advances in vascularized, innervated, and neurovascularized HSEs are highlighted, together with emerging bioengineering strategies, current challenges, and future ...
Hao Wu +4 more
wiley +1 more source
This study aims to evaluate the effectiveness of employing a deep learning approach for the automated detection of pulp stones in panoramic imaging. A comprehensive dataset comprising 2409 panoramic radiography images (7564 labels) underwent labeling ...
İbrahim Şevki Bayrakdar +9 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Recent advances in microfluidic technologies for microgel fabrication are critically reviewed, highlighting the capabilities and limitations of major microfluidic platforms and discussing how platform design, material selection, and crosslinking strategies influence microgel architecture and functionality. Current challenges and future opportunities in
Afshin Abrishamkar +6 more
wiley +1 more source
Future direction for the deployment of deep learning artificial intelligence: Vision threatening disease detection in underserved communities during COVID-19. [PDF]
Saudi J Ophthalmol, 2023 Vought R, Vought V, Szirth B, Khouri AS.
europepmc +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Injection Molding at the MIT Artificial Intelligence Lab [PDF]
, 1995 This paper describes the injection molding equipment at the MIT Artificial Intelligence Lab and how to use it. Topic covered include mold design, insert molding, safety, and material properties.MIT Artificial Intelligence ...
Binnard, Michael
core
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Deep Learning in GeoSpatial Artificial Intelligence.
, 2017 {"references": ["GeoAI conference, see: https://udi.ornl.gov/geoai.", "Lin Y, Chiang Y-Y, Pan F, Stripelis D, Ambite JL, Eckel SP, Habre R.(2017); Mining public datasets for modeling intra-", "Li, H., Liu, J., & Zhou, X. (2018). Intelligent Map Reader: A Framework for Topographic Map Understanding With Deep Learning and Gazetteer.
openaire +1 more source
Harnessing Artificial Intelligence in Obesity Research and Management: A Comprehensive Review
Purpose: This review aims to explore the clinical and research applications of artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), in understanding, predicting, and managing obesity. It assesses the use of AI tools to
Miltiades D. Lytras +8 more
core +1 more source