Results 151 to 160 of about 528,791 (356)

MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes [PDF]

arXiv
Several studies showed that Large Language Models (LLMs) can answer medical questions correctly, even outperforming the average human score in some medical exams. However, to our knowledge, no study has been conducted to assess the ability of language models to validate existing or generated medical text for correctness and consistency.
arxiv  

Illinois Congress covers medication errors, diagnostics, disease management [PDF]

, 1998

openalex   +1 more source

MET and NF2 alterations confer primary and early resistance to first‐line alectinib treatment in ALK‐positive non‐small‐cell lung cancer

Molecular Oncology, EarlyView.
Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu, Ning Ding, Xiaobo Xu, Yedan Chen, Yong Zhang, Jingwen Liu, Jiebai Zhou, Hairong Bao, Donghui Zhang, Yijun Song, Yang Shao, Yuanlin Song   +11 more
wiley   +1 more source

Pragmatic evaluation of the Toyota Production System (TPS) analysis procedure for problem solving with entry-level nurses [PDF]

, 2008
Medication errors occurring in hospitals are a growing national concern. These medication errors and their related costs (or wastes) are seen as major factors leading to increased patient safety risks and increased waste in the hospital setting.
Chen, Shi-Jie (Gary), Mazur, Lukasz Maciej, Prescott, Barbara   +2 more
core  

Medication Errors [PDF]

, 1995
NULL AUTHOR_ID
openalex   +1 more source

Tonic signaling of the B‐cell antigen‐specific receptor is a common functional hallmark in chronic lymphocytic leukemia cell phosphoproteomes at early disease stages

Molecular Oncology, EarlyView.
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez, Pablo Juanes‐Velasco, Marina L. García‐Vaquero, Conrad Droste, Alicia Landeira‐Viñuela, Miguel Alcoceba, Helena Fidalgo‐Gómez, Sara Misiego‐Herrero, Almudena Navarro‐Bailón, Mónica Baile, José M. Bastida, Jose Manuel Sanchez‐Santos, Rafael Góngora, Julia Almeida, Marcos Gonzalez‐Diaz, Alberto Orfao, Javier De Las Rivas, Manuel Fuentes   +17 more
wiley   +1 more source

The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders? [PDF]

arXiv
The global adoption of Large Language Models (LLMs) in healthcare shows promise to enhance clinical workflows and improve patient outcomes. However, Automatic Speech Recognition (ASR) errors in critical medical terms remain a significant challenge. These errors can compromise patient care and safety if not detected.
arxiv  

Lääkityspoikkeamista oppiminen [PDF]

, 2014
Tämän tutkimuksellisen kehittämistyön tarkoituksena oli analysoida lääkityspoikkeamien syitä ja etsiä yhdessä kuuden vanhustenhoidon yksikön henkilökunnan kanssa toteutettavia keinoja poikkeamien vähentämiseksi.
Valassaari, Satu
core  

Aberrant expression of nuclear prothymosin α contributes to epithelial‐mesenchymal transition in lung cancer

Molecular Oncology, EarlyView.
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen, Chung‐Teng Wang, Jia‐Ming Chang, Ai‐Li Shiau, Gia‐Shing Shieh, Yau‐Lin Tseng, Yi‐Ting Yen, Tang‐Hsiu Huang, Li‐Hsin Cheng, Yu‐Chih Wu, Chao‐Liang Wu, Bing‐Hua Su, Pensee Wu   +12 more
wiley   +1 more source

Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies [PDF]

arXiv
The evaluation and improvement of medical large language models (LLMs) are critical for their real-world deployment, particularly in ensuring accuracy, safety, and ethical alignment. Existing frameworks inadequately dissect domain-specific error patterns or address cross-modal challenges.
arxiv