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PENERAPAN RETRIEVAL AUGEMENTED GENERATION MENGGUNAKAN LANGCHAIN DALAM PENGEMBANGAN SISTEM TANYA JAWAB HADIS BERBASIS WEB
ZONAsi: Jurnal Sistem Informasi; Vol. 6 No. 2 (2024): Publikasi Artikel ZONAsi: Periode Mei 2024; 370 - 379
Hadis ajaran kedua setelah al-Qur'an yang menjadi panduan bagi umat Islam. Pencarian hadis saat ini kurang interaktif dalam menjawaban pertanyaan, dimana hanya menampilkan dokumen relevan. Penelitian ini bertujuan untuk mengembangkan sistem tany...
PubMed
A LangChain-facilitated conversational approach to cataract disease: A pilot study with large language models
Digit Health
PURPOSE: This study examines the use of Google's advanced large language models and the LangChain library for developing a chat counseling system for cataract disease. METHODS: The proposed system integrates a manually constructed cataract disea...
PubMed
Real-time deforestation anomaly detection using YOLO and LangChain agents for sustainable environmental monitoring
Sci Rep
Deforestation continues to pose a major threat to global ecosystems, biodiversity, and climate resilience, demanding intelligent and timely monitoring solutions. This study introduces a novel framework that integrates YOLOv8 (You Only Look Once) obje...
PubMed
Medication Extraction and Drug Interaction Chatbot: Generative Pretrained Transformer-Powered Chatbot for Drug-Drug Interaction
Mayo Clin Proc Digit Health
OBJECTIVE: To assist individuals, particularly cancer patients or those with complex comorbidities, in quickly identifying potentially contraindicated medications when taking multiple drugs simultaneously. PATIENTS AND METHODS: In this study, we intr...
PubMed
Benchmarking cell type and gene set annotation by large language models with AnnDictionary
Nat Commun
We develop an open-source package called AnnDictionary to facilitate the parallel, independent analysis of multiple anndata. AnnDictionary is built on top of LangChain and AnnData and supports all common large language model (LLM) providers. AnnDicti...
PubMed
Retrieval augmented large language model system for comprehensive drug contraindications
Health Inf Sci Syst
The versatility of large language models (LLMs) has been explored across various sectors, but their application in healthcare poses challenges, particularly in the domain of pharmaceutical contraindications where accurate and reliable information is ...
PubMed
Improving Radiology Report Conciseness and Structure via Local Large Language Models
J Imaging Inform Med
Radiology reports are often lengthy and unstructured, posing challenges for referring physicians to quickly identify critical imaging findings while increasing risk of missed information. This retrospective study aimed to enhance radiology reports by...
PubMed
Context-Aware Retrieval-Augmented Generation for Artificial Intelligence in Urology
Cureus
Background Artificial intelligence (AI) is increasingly being used in healthcare, particularly for interpreting complex medical queries. However, conventional AI models often generate inaccurate or irrelevant responses that are commonly termed halluc...
PubMed
MED-ChatGPT CoPilot: a ChatGPT medical assistant for case mining and adjunctive therapy
Front Med (Lausanne)
BACKGROUND: The large-scale language model, GPT-4-1106-preview, supports text of up to 128 k characters, which has enhanced the capability of processing vast quantities of text. This model can perform efficient and accurate text data mining without...
PubMed
Large Language Model–Based Critical Care Big Data Deployment and Extraction: Descriptive Analysis
JMIR Med Inform
BACKGROUND: Publicly accessible critical care–related databases contain enormous clinical data, but their utilization often requires advanced programming skills. The growing complexity of large databases and unstructured data presents challenges fo...
PubMed
Leveraging Large Language Models for Accurate Retrieval of Patient Information From Medical Reports: Systematic Evaluation Study
JMIR AI
BACKGROUND: The digital transformation of health care has introduced both opportunities and challenges, particularly in managing and analyzing the vast amounts of unstructured medical data generated daily. There is a need to explore the feasibility o...
PubMed
AI-based nanotoxicity data extraction and prediction of nanotoxicity
Comput Struct Biotechnol J
With the growing use of nanomaterials (NMs), assessing their toxicity has become increasingly important. Among toxicity assessment methods, computational models for predicting nanotoxicity are emerging as alternatives to traditional in vitro and in v...
PubMed
Reconstructing impaired language using generative AI for people with aphasia
Sci Rep
In an era of Generative Artificial Intelligence (AI), it may be possible to capitalise on AI’s generative capabilities to assist people in compensating for their impaired language. Large Language Models (LLMs) have emerged as a recent breakthrough,...
PubMed
OP59 Exploring The Feasibility Of Generative Artificial Intelligence In Replicating Health Economic Models For Early-Phase Decision Support
Int J Technol Assess Health Care
INTRODUCTION: Generative artificial intelligence (AI) holds promise in aiding development of health economic models. Our objective was to explore the feasibility of using generative AI to replicate health economic models based on previously published...
PubMed
Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study
ArXiv
BACKGROUND: Even though patients have easy access to their electronic health records and lab test results data through patient portals, lab results are often confusing and hard to understand. Many patients turn to online forums or question and answer...
PubMed
Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study
J Med Internet Res
BACKGROUND: Although patients have easy access to their electronic health records and laboratory test result data through patient portals, laboratory test results are often confusing and hard to understand. Many patients turn to web-based forums or q...
arXiv Preprints
A Blockchain-Monitored Agentic AI Architecture for Trusted Perception-Reasoning-Action Pipelines
The application of agentic AI systems in autonomous decision-making is growing in the areas of healthcare, smart cities, digital forensics, and supply chain management. Even though these systems are flexible and offer real-time reasoning, they also r...
cs:cs:AIcs:cs:MA
arXiv Preprints
Grandes Modelos de Linguagem Multimodais (MLLMs): Da Teoria à Prática
Multimodal Large Language Models (MLLMs) combine the natural language understanding and generation capabilities of LLMs with perception skills in modalities such as image and audio, representing a key advancement in contemporary AI. This chapter pres...
cs:cs:CLcs:cs:CV
arXiv Preprints
PowerDAG: Reliable Agentic AI System for Automating Distribution Grid Analysis
This paper introduces PowerDAG, an agentic AI system for automating complex distribution-grid analysis. We address the reliability challenges of state-of-the-art agentic systems in automating complex engineering workflows by introducing two innovativ...
eess:eess:SYcs:cs:SY
arXiv Preprints
SocialWise: LLM-Agentic Conversation Therapy for Individuals with Autism Spectrum Disorder to Enhance Communication Skills
Autism Spectrum Disorder (ASD) affects more than 75 million people worldwide. However, scalable support for practicing everyday conversation is scarce: Low-cost activities such as story reading yield limited improvement. At the same time, effective r...
cs:cs:HCcs:cs:AIcs:cs:IRcs:cs:MA