Tag: Large Language Models

A blinded panel of eight multidisciplinary experts judged the primary action acceptable in 338 of 400 synthetic clinical outputs from ...

A new perspective argues that the shift from open-web browsing to AI prompting inside closed platforms is reducing the observability ...

A study evaluating retrieval-augmented language models across diabetes management tasks found improved semantic similarity and clinician preference, though performance gains ...

A new study shows that correlated errors cap the effective number of independent voters in LLM ensembles, with five models ...

A knowledge-grounded security assessment framework improves risk quantification and cross-domain access verification for large language models in smart-grid operations.

Researchers built a proof-of-concept framework that uses large language models to extract clinical entities from Thai medical documents and link ...

Researchers propose a Holistic Explainable AI framework that embeds explanation into every stage of the data-analysis workflow and maps its ...

Anesthesiology researchers argue that AI in perioperative care must be human-centered, warning that most models lack prospective validation and real-world ...

A new unsupervised image clustering framework called SHCC builds a hierarchy of semantic labels from vision-language model outputs and resolves ...

A stratified random survey of 419 physicians at three Chongqing hospitals found 50.3 percent held positive views of large language ...

A narrative review finds AI models across nephrology achieve strong predictive performance, yet prospective validation and evidence of patient benefit ...

A new inference-time framework reuses highly similar hidden token states in transformers, preserving sequence length without retraining while largely maintaining ...

Researchers report a retrieval-augmented LLM framework that integrates into the PRISMA 2020 workflow, achieving 85.11 percent extraction recall for domain-specific ...

A new editorial collection documents how artificial intelligence is reshaping particle accelerator science, from surrogate models already in practical use ...

Researchers built a retrieval-augmented AI framework that analyzed 192 US climate equity and action plans and matched cities with similar ...

A survey in Artificial Intelligence Review categorises narrative theory-driven large language model methods and finds generation tasks lag behind understanding ...

A new scoping review of 73 studies argues that explanations in AI-driven 5G and 6G networks must balance fidelity, latency, ...

Abstracts from the 34th Portuguese Dental Association Annual Meeting present case reports and early studies spanning odontogenic cyst management, regenerative ...

A systematic review of fourteen studies finds large language models perform well on structured infection control tasks but fall short ...

A modular AI system separates general Traditional Chinese Medicine knowledge from one senior practitioner's prescribing experience, scoring highest among evaluated ...