Results 171 to 180 of about 22,074,380 (291)

Accuracy Is Not Enough: Reasoning and Reference Reliability in Orthopaedic Large Language Model (LLM) Applications. [PDF]

Cureus
Singh S, Chandrasekhar P.
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Acceptability of a Large Language Model (LLM)-Generated Guideline-Based Checklist Among Otolaryngologists: A Cross-Sectional Survey and Thematic Analysis. [PDF]

Cureus
Iqbal S, Ahmadi M, Ahmadian D, Eskander P.   +3 more
europepmc   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source

Large Language Model (LLM) and Human Performance in Child Investigative Interviewing Question Formulation Tasks. [PDF]

Behav Sci Law
Järvilehto L, Sun Y, Aiba N, Haginoya S, Hallström H, Korkman J, Santtila P.   +6 more
europepmc   +1 more source

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

Patterns of Errors and Hallucinations Among ChatGPT, Perplexity, Qwen, and Copilot in Answering ACR DXIT Radiology Questions

Indian Journal of Radiology and Imaging
Kurian C. Eapen, Viswajit Krothapalli, Rishabh Vaid, Manoj J. Dhinagar, Lingala J. P. Raju, Rashi Goyal, Aparna Irodi   +6 more
doaj   +1 more source

Comparison of Large Language Models in Diagnosis and Management of Challenging Clinical Cases

Clinical Ophthalmology
Sujeeth Krishna Shanmugam, David J Browning Department of Ophthalmology, Wake Forest University School of Medicine, Winston-Salem, NC, USACorrespondence: David J Browning, Department of Ophthalmology, Wake Forest University School of Medicine, 1 Medical ...
Shanmugam SK, Browning DJ
doaj  

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Detecting Citation Veneer in Guideline-Grounded Clinical and Public Health Large Language Model (LLM) Outputs: A Clinical Evidence Audit Grid Using CENHOV Tags. [PDF]

Cureus
Harada Y.
europepmc   +1 more source