Results 181 to 190 of about 108,241 (278)

Seeing Through the Face: Robust Facial Diagnosis Enhanced by Landmark Detection and Pose Normalization

Advanced Intelligent Systems, EarlyView.
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie, Zixian Jiao, Guo Bai, Huimin Zhu, Dahe Zhang, Hui Li, Haixia Lu, Xin Nie, Qing Li, Duohong Zou, Zhiguo Yin, Peilun Li, Chi Yang   +12 more
wiley   +1 more source

Validity of smartphone sensors to assess selected kinetic and kinematic outcomes during single-leg landing stabilization tasks. [PDF]

PLoS One
Gallina A, Lim MA, Cabral HV.
europepmc   +1 more source

Machine Learning‐Augmented Loop‐Mediated Isothermal Amplification‐Enabled Point‐of‐Care for Mpox‐Specific Detection

Advanced Intelligent Systems, EarlyView.
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken, Ahmed Choukri Abdullah, Olgac Ozarslan, Ziya Yıldız, Savas Tasoglu   +4 more
wiley   +1 more source

Gait Disturbances in Older Adults With Cerebral Small Vessel Disease: Mixed Methods Study Using Smartphone Sensors and Video Analysis. [PDF]

JMIR Form Res
Lai X, Qiao LY, Rau PP, Liu Y.
europepmc   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

A Review of Indoor Localization Methods Leveraging Smartphone Sensors and Spatial Context. [PDF]

Sensors (Basel)
Li J, Song Y, Ma Z, Liu Y, Chen C.
europepmc   +1 more source

In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors. [PDF]

Sensors (Basel), 2020
Kashevnik A, Ponomarev A, Shilov N, Chechulin A.   +3 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Accuracy and repeatability of smartphone sensors for measuring shank-to-vertical angle. [PDF]

Prosthet Orthot Int, 2020
Nguyen BT, Baicoianu NA, Howell DB, Peters KM, Steele KM.   +4 more
europepmc   +1 more source

Miniaturized Conductometric Biosensor for Rapid Detection of TNF‐α in Saliva

Advanced NanoBiomed Research, EarlyView.
A miniaturized conductometric sensor detects TNF‐α at femtomolar levels with high selectivity. The device enables noninvasive testing using pooled human saliva and supports smartphone‐based, real‐time resistance readings. This portable biosensor offers a practical alternative for monitoring TNF‐α, providing new opportunities for diabetes and related ...
Mingjie Yang, Ying Zhi Cheong, Chenglong Xu, Sanje Mahasivam, Xudong Cai, Vipul Bansal, Sharath Sriram, Ganganath Perera, Madhu Bhaskaran   +8 more
wiley   +1 more source