AIMC Topic: Information Storage and Retrieval
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Revisiting medical image retrieval via knowledge consolidation.
Medical image analysis
Mar 22, 2025
As artificial intelligence and digital medicine increasingly permeate healthcare systems, robust governance frameworks are essential to ensure ethical, secure, and effective implementation. In this context, medical image retrieval becomes a critical ...
Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models.
Journal of medical Internet research
Mar 19, 2025
BACKGROUND: Dietary supplements (DSs) are widely used to improve health and nutrition, but challenges related to misinformation, safety, and efficacy persist due to less stringent regulations compared with pharmaceuticals. Accurate and reliable DS in...
Topicwise Separable Sentence Retrieval for Medical Report Generation.
IEEE transactions on medical imaging
Mar 17, 2025
Automated radiology reporting holds immense clinical potential in alleviating the burdensome workload of radiologists and mitigating diagnostic bias. Recently, retrieval-based report generation methods have garnered increasing attention. These method...
Structured hashing with deep learning for modality, organ, and disease content sensitive medical image retrieval.
Scientific reports
Mar 14, 2025
Evidence-based medicine is the preferred procedure among clinicians for treating patients. Content-based medical image retrieval (CBMIR) is widely used to extract evidence from a large archive of medical images. Developing effective CBMIR systems for...
Automated structured data extraction from intraoperative echocardiography reports using large language models.
British journal of anaesthesia
Mar 3, 2025
BACKGROUND: Consensus-based large language model (LLM) ensembles might provide an automated solution for extracting structured data from unstructured text in echocardiography reports.
AI-driven evidence synthesis: data extraction of randomized controlled trials with large language models.
International journal of surgery (London, England)
Mar 1, 2025
The advancement of large language models (LLMs) presents promising opportunities to enhance evidence synthesis efficiency, particularly in data extraction processes, yet existing prompts for data extraction remain limited, focusing primarily on commo...
Leveraging natural language processing for efficient information extraction from breast cancer pathology reports: Single-institution study.
PloS one
Feb 18, 2025
BACKGROUND: Pathology reports provide important information for accurate diagnosis of cancer and optimal treatment decision making. In particular, breast cancer has known to be the most common cancer in women worldwide.
RADEX: a rule-based clinical and radiology data extraction tool demonstrated on thyroid ultrasound reports.
European radiology
Feb 13, 2025
OBJECTIVES: Radiology reports contain valuable information for research and audits, but relevant details are often buried within free-text fields. This makes them challenging and time-consuming to extract for secondary analyses, including training ar...
The perception and use of generative AI for science-related information search: Insights from a cross-national study.
Public understanding of science (Bristol, England)
Jan 31, 2025
Publicly accessible large language models like ChatGPT are emerging as novel information intermediaries, enabling easy access to a wide range of science-related information. This study presents survey data from seven countries ( = 4320) obtained in J...
Scalable information extraction from free text electronic health records using large language models.
BMC medical research methodology
Jan 28, 2025
BACKGROUND: A vast amount of potentially useful information such as description of patient symptoms, family, and social history is recorded as free-text notes in electronic health records (EHRs) but is difficult to reliably extract at scale, limiting...
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