Results 101 to 110 of about 166,779 (318)

Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes, Sebastian Seurig, Theresa Willem, Marta Dechant, Stephan Traidl, Mina Kang, Pedro Marques Pinto, Annette Binder, Tilo Biedermann, Ulf Darsow   +9 more
wiley   +1 more source

To Evaluate the Efficiency of ChatGPT in Medical Education: An Analysis of MCQ-Based Learning and Assessment

Annals of Abbasi Shaheed Hospital and Karachi Medical & Dental College, 2023
Objective: This study aimed to evaluate the potential of ChatGPT to help students for their assess ments via MCQ at different level of cognition by using different subjects of Internal medicine.
Shirjeel Husain, Zaid Ansari, Azhar Hussain, Sahar Abbasi, Tahera Ayoob, Rimsha Mujahid   +5 more
doaj   +2 more sources

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

Materials Genome Engineering Advances, EarlyView.
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 more
wiley   +1 more source

InfectA-Chat, an Arabic Large Language Model for Infectious Diseases: Comparative Analysis

JMIR Medical Informatics
BackgroundInfectious diseases have consistently been a significant concern in public health, requiring proactive measures to safeguard societal well-being.
Yesim Selcuk, Eunhui Kim, Insung Ahn
doaj   +1 more source

Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research

Remote Sensing in Ecology and Conservation, EarlyView.
Canopy laser scanning (CLS) enhances 3D measurements of large trees by lifting laser scanners into the canopy. Combining CLS with terrestrial laser scanning improves point cloud precision, reduces occlusion and enables detailed assessments of tree architecture and canopy biodiversity, opening new opportunities for forest ecology.
Barbara D'hont, Kim Calders, Alexandre Antonelli, Thomas Berg, Wout Cherlet, Karun Dayal, Olivia Jayne Fitzpatrick, Leonard Hambrecht, Maurice Leponce, Arko Lucieer, Olivier Pascal, Pasi Raumonen, Hans Verbeeck   +12 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

The use of LLMs to annotate data in management research: Foundational guidelines and warnings

Strategic Management Journal, EarlyView.
Abstract Research Summary The emergence of large language models (LLMs) offers new opportunities for AI integration in research, particularly for data annotation and text classification. However, researchers lack guidance on implementation best practices, as the benefits and risks of these tools remain poorly understood.
Natalie A. Carlson, Vanessa Burbano
wiley   +1 more source

Beyond feasibility filters: How expertise heterogeneity enables innovation recognition

Strategic Management Journal, EarlyView.
Abstract Research Summary Organizations often struggle to identify promising innovations that balance novelty and feasibility in multidisciplinary domains, yet how does evaluator expertise heterogeneity shape these assessments? This study examines how evaluator expertise influences innovation evaluation through a field experiment with National ...
Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti   +3 more
wiley   +1 more source

The Issues and Optimization Strategies in the Modernization of Vocational Education in the Era of Chat GPT [PDF]

The emergence of Chat GPT technology represents a significant breakthrough in natural language processing, revolutionizing human-machine interaction and presenting profound challenges to vocational education modernization in China.
Fu, Ping, Teng, Huazi, Zhang, Penghao
core   +2 more sources

Addressing Complexity in System of Systems With GraphRAG: An AI‐Driven Framework for Dynamic Data Integration

Systems Engineering, EarlyView.
ABSTRACT System of Systems (SoS) environments are inherently complex, involving numerous operationally and managerially independent component systems with hidden interdependencies and frequent interactions based on unstructured data. In this paper, we propose using graphical Retrieval‐Augmented Generation (GraphRAG), a tool that combines large language
Yinchien Huang, Tien‐Yueh Fung, Daniel A. DeLaurentis   +2 more
wiley   +1 more source