ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley +1 more source
A Survey on Medical Competence Evaluation Benchmarks for Large Language Models. [PDF]
Wang Q +5 more
europepmc +1 more source
ABSTRACT Objectives To evaluate the cleaning efficacy, quantitative and qualitative surface modifications of titanium (Ti) and zirconia (Zr) abutments following instrumentation with twelve mechanical instrumentation modalities. Materials and Methods Twenty‐four Ti and twenty‐four Zr abutments were divided by marginal grooves into 36 test and 12 control
Marina Salah Kamel +3 more
wiley +1 more source
AI-powered Chatbot integration for enhanced accessibility of electronic health records in a pediatric hospital. [PDF]
Gowramma PB +7 more
europepmc +1 more source
Free-Breathing Arterial Spin Labeling MRI of the Kidney Using Flow-Sensitive-Alternating Inversion Recovery With Golden-Angle Radial Sampling. [PDF]
Zhang Y +10 more
europepmc +1 more source
DICOM-Based Quantification of MRI Artifact from Auditory Implants: a Technical Note Comparing Bone-Conduction- and Cochlear Implants. [PDF]
Straub B, Arndt S, Urbach H, Becker LI.
europepmc +1 more source
Normalized muscle volume remained unchanged in all evaluated muscles after the 12‐month treatment‐as‐usual in children with cerebral palsy. Higher intramuscular fat fraction was observed in the medial gastrocnemius, suggesting concurrent intramuscular fat infiltration.
Zhongzheng Wang +7 more
wiley +1 more source
Tests of large language models' medical competence and application for clinical decision support of musculoskeletal rehabilitation. [PDF]
Liu R +11 more
europepmc +1 more source
ABSTRACT Introduction Artificial Intelligence (AI) is transforming dental education (DE) by advancing teaching strategies, clinical training, and patient care. Its integration allows for personalized learning experiences and realistic simulations, and equips students with the competencies required to deliver high‐quality oral healthcare in a digital ...
Munazza Khanzada +6 more
wiley +1 more source
Evaluating the role of large language models in supporting patient education during the informed consent process for routine radiology procedures. [PDF]
Einspänner E +7 more
europepmc +1 more source

