Published: Dec. 6, 2024
Language: Английский
Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126579 - 126579
Published: Jan. 1, 2025
Language: Английский
Citations
0
Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129589 - 129589
Published: Feb. 1, 2025
Language: Английский
Citations
0
PLOS Digital Health, Journal Year: 2025, Volume and Issue: 4(5), P. e0000800 - e0000800
Published: May 8, 2025
This paper explores the advancements and applications of language models in healthcare, focusing on their clinical use cases. It examines evolution from early encoder-based systems requiring extensive fine-tuning to state-of-the-art large multimodal capable integrating text visual data through in-context learning. The analysis emphasizes locally deployable models, which enhance privacy operational autonomy, tasks such as generation, classification, information extraction, conversational systems. also highlights a structured organization tiered ethical approach, providing valuable resource for researchers practitioners, while discussing key challenges related ethics, evaluation, implementation.
Language: Английский
Citations
0
Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 8094 - 8094
Published: Sept. 9, 2024
Emergencies in gas pipeline networks can lead to significant loss of life and property, necessitating extensive professional knowledge for effective response management. Effective emergency depends on specialized knowledge, which be captured efficiently through domain-specific lexicons. The goal this research is develop a lexicon that integrates improve management networks. process starts with an enhanced version Term Frequency–Inverse Document Frequency (TF-IDF), statistical method used information retrieval, combined filtering logic extract candidate words from investigation reports. Simultaneously, we fine tune the Chinese Bidirectional Encoder Representations Transformers (BERT) model, state-of-the-art language data enhance semantic capture integrate domain knowledge. Next, similar meanings are identified word similarity analysis based standard terminology risk inventories, facilitating expansion. Finally, formed by amalgamating these words. Validation shows method, outperforms models lack such integration. resulting not only assigns weights terms but also deeply embeds offering robust support cause
Language: Английский
Citations
1
Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14
Published: Dec. 23, 2024
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This comprehensive review examines the current applications and future prospects of AI in lung cancer research treatment. We critically analyze latest technologies their across multiple domains, genomics, transcriptomics, proteomics, metabolomics, immunomics, microbiomics, radiomics, pathomics research. The elucidates AI’s transformative role enhancing early detection, personalizing treatment strategies, accelerating therapeutic innovations. explore impact on precision medicine cancer, encompassing diagnosis, planning, monitoring, drug discovery. potential analyzing complex datasets, genetic profiles, imaging data, clinical records, is discussed, highlighting its capacity to provide more accurate diagnoses tailored plans. Additionally, we examine predicting patient responses immunotherapy forecasting survival rates, particularly non-small cell (NSCLC). addresses technical challenges facing implementation care, data quality quantity issues, model interpretability, ethical considerations, while discussing solutions emphasizing importance rigorous validation. By providing a analysis for researchers clinicians, this underscores indispensable combating usher new era medical breakthroughs, ultimately aiming improve outcomes life.
Language: Английский
Citations
1
Published: July 7, 2024
Language: Английский
Citations
1
Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11
Published: Oct. 16, 2024
Background The large-scale language model, GPT-4-1106-preview, supports text of up to 128 k characters, which has enhanced the capability processing vast quantities text. This model can perform efficient and accurate data mining without need for retraining, aided by prompt engineering. Method research approach includes engineering vectorization processing. In this study, is applied assist ChatGPT in mining. Subsequently, mined results are vectorized incorporated into a local knowledge base. After cleansing 306 medical papers, extraction was performed using ChatGPT. Following validation filtering process, 241 case entries were obtained, leading construction Additionally, drawing upon Langchain framework utilizing base conjunction with ChatGPT, we successfully developed fast reliable chatbot. chatbot capable providing recommended diagnostic treatment information various diseases. Results performance designed from base, exceeded that original 7.90% on set questions. Conclusion assisted engineering, demonstrates effective capabilities texts. future, plan incorporate richer array data, expand scale enhance ChatGPT’s field.
Language: Английский
Citations
0
Published: Dec. 6, 2024
Language: Английский
Citations
0