Results 201 to 210 of about 4,234,320 (260)

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Characterization and Management of Androgenetic Alopecia in Transgender and Gender-Diverse Individuals: A Narrative Review. [PDF]

Dermatol Ther (Heidelb)
Ramos-Rodriguez D, Sanchez-Baez D, Cabrera-Garcia P, Perez-Bustillo A, Hermosa-Gelbard A, Vaño-Galvan S, Saceda-Corralo D, Jimenez-Cauhe J.   +7 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Estimation of cancer cases in transgender and gender diverse people in England

Pasin C, Jackson SS, Thynne L, McWade B, Westerman T, Ball R, Kavanagh J, O’Callaghan S, Ring K, Orkin C, Berner AM.   +10 more
europepmc   +1 more source

Chronic pain in transgender and gender-diverse youth: a biopsychosocial perspective. [PDF]

Front Pain Res (Lausanne)
Han GT, Basch M, Chen D, Zeltzer L.
europepmc   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Venous Thromboembolism in Transgender and Gender Diverse Individuals on Estrogen-Based Gender-Affirming Hormone Therapy. [PDF]

J Clin Med
Burgoon S, Cunningham H, Batchelder HR, Jones Q, Kelley CE, Kapoor S.   +5 more
europepmc   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

Prevalence and Incidence of Heart Failure Phenotypes Among Transgender and Gender-Diverse Adults in the United States. [PDF]

J Am Heart Assoc
Everitt IK, Quinn EK, Duncan MS, Grasso C, Reisner SL, Jasuja GK, Poteat T, Shapira-Daniels A, Cabral H, Tangpricha V, Paasche-Orlow MK, Benjamin EJ, Mukherjee M, Streed CG.   +13 more
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source