Computer copilots for endoscopic diagnosis [PDF]
npj Digital Medicine, 2022 Artificial intelligence (AI) tools for endoscopy are now entering clinical practice after demonstrating substantial improvements to polyp detection on colonoscopy.
James A. Diao, Joseph C. Kvedar
doaj +4 more sources
The Elastic Electronic Health Record: A Five-Tiered Framework for Applying Artificial Intelligence to Electronic Health Record Maintenance, Configuration, and Use [PDF]
JMIR AIProperly configuring modern electronic health records (EHRs) has become increasingly challenging for human operators, failing to fully meet the efficiency and cost-saving potential seen with the digitization of other sectors.
Colby Uptegraft +4 more
doaj +2 more sources
Relationship between Brazilian airline pilot errors and time of day [PDF]
Brazilian Journal of Medical and Biological Research, 2008 Flight safety is one of the most important and frequently discussed issues in aviation. Recent accident inquiries have raised questions as to how the work of flight crews is organized and the extent to which these conditions may have been contributing ...
M.T. de Mello +6 more
doaj +3 more sources
Comparative study of advanced reasoning versus baseline large-language models for histopathological diagnosis in oral and maxillofacial pathology. [PDF]
PLoS ONELarge language models (LLMs) are increasingly explored as diagnostic copilots in digital pathology, but whether the newest reasoning-augmented architectures provide measurable benefits over earlier versions is unknown.
Viet Anh Nguyen +4 more
doaj +2 more sources
The role of artificial intelligence-based foundation models and “copilots” in cancer pathology: potential and challenges [PDF]
Journal of Experimental & Clinical Cancer ResearchThe integration of Artificial Intelligence (AI) into cancer pathology offers an imperative solution to global pathologist shortages and increasingly complex diagnostic demands.
Cillian H. Cheng, Chi Chun Wong
doaj +2 more sources
Examining the Role of Large Language Models in Orthopedics: Systematic Review
Journal of Medical Internet ResearchBackgroundLarge language models (LLMs) can understand natural language and generate corresponding text, images, and even videos based on prompts, which holds great potential in medical scenarios.
Cheng Zhang +7 more
doaj +2 more sources
Vetor, 2021 Este trabalho objetiva apresentar o COPILOTS (BasiC OPtImaLCOnTrol Solver), um pacote proposto para resolução de Problemas de Controle Ótimo (PCOs) baseado nos Métodos Diretos, de fácil utilização e ideal para usuários com pouca ou nenhuma experiência ...
Fran Sérgio Lobato +2 more
doaj +5 more sources
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
Neural theorem proving combines large language models (LLMs) with proof assistants such as Lean, where the correctness of formal proofs can be rigorously verified, leaving no room for hallucination. With existing neural theorem provers pretrained on a fixed collection of data and offering valuable suggestions at times, it is challenging for them to ...
Song, Peiyang +2 more
openaire +3 more sources
Fuzzy-TLX: using fuzzy integrals for evaluating human mental workload with NASA-Task Load indeX in laboratory and field studies [PDF]
, 2013 International audienceThe aim of this study was to assess mental workload in which various load sources must be integrated to derive reliable workload estimates.
Meyer, Jean-Pierre +3 more
core +3 more sources
Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
Proceedings of the 39th IEEE/ACM International Conference on Automated Software EngineeringAs one of the most popular dynamic languages, Python experiences a decrease in readability and maintainability when code smells are present. Recent advancements in Large Language Models have sparked growing interest in AI-enabled tools for both code generation and refactoring. GitHub Copilot is one such tool that has gained widespread usage.
Beiqi Zhang +4 more
openaire +2 more sources