Results 261 to 270 of about 80,417 (346)

3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding

Makanjuola Ogunleye, Eman Abdelrahman, Ismini Lourentzou   +2 more
openalex   +1 more source

Integrating AI and Into Dental Hygiene Documentation Education

Journal of Dental Education, EarlyView.
Leonardo M. Nassani, Nicole Buchanan, Zeinab Mohamed, Teresa Kania   +3 more
wiley   +1 more source

Automated data extraction for systematic reviews using GPT‐5.2 and Google Gemini Pro 3: A dual‐large language model approach in orthopaedic research

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To evaluate the accuracy, agreement, and efficiency of a dual‐large language model (LLM) approach using Generative Pre‐Trained Transformer 5.2 (GPT‐5.2) and Google Gemini 3 Pro for automated data extraction in orthopaedic systematic reviews.
Prushoth Vivekanantha, Harjind Kahlon, Oluwatoba T. Balogun, Marc Daniel Bouchard, Darren de Sa, Olufemi R. Ayeni, Jeffrey Kay   +6 more
wiley   +1 more source

Management of Charles Bonnet syndrome in routine eye care services. [PDF]

Eye (Lond)
Jones L, Ffytche DH, Moosajee M.
europepmc   +1 more source

AI‐powered nursing handoffs: Introducing and evaluating the patient report template

Learning Health Systems, EarlyView.
Abstract Purpose To understand (1) if nurses view the individual components of the Patient Report Template as useful in their day‐to‐day workflow, and (2) understand the perceptions of nurses related to artificial intelligence use in their day‐to‐day work.
Gabriel Vald, Yusuf Sermet, Nai‐Ching Chi, Ibrahim Demir   +3 more
wiley   +1 more source

Hallucination-Free Causal Graph-Guided AI Framework for Intuitive Question and Answer Generation

Nicholas X. Wang, Aggelos K. Katsaggelos
openalex   +1 more source

Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry

Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley   +1 more source

Clinical Outcome Assessments in Parkinson's Disease: A Scoping Review of Current Rating Scales and Future Needs

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Clinical outcome assessments (COAs) are essential for evaluating symptom severity, treatment response, and disease progression in Parkinson's disease (PD). As clinical knowledge evolves, it is necessary to revisit the recommendation status on the COAs to ensure their continued relevance and validity. Objectives To provide an updated
Evita Papathoma, Panagiota Tsitsi, Nirosen Vijiaratnam, Camila Aquino, Stephen R. Duma, Norbert Kovacs, Kigocha Lameck Okeng'o, Aparna Wagle Shukla, Roongroj Bhidayasiri, Tiago A. Mestre, Alvaro Sanchez Ferro, Alberto J. Espay, Michelle H.S. Tosin, Matej Skorvanek, Ioanna Markaki   +14 more
wiley   +1 more source

Refining mechanistic models of hallucinations for enhanced translatability. [PDF]

Transl Psychiatry
Buck J, Iigaya K, Horga G.
europepmc   +1 more source