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PubMed2000

AHEC library services: from circuit rider to virtual librarian. Area Health Education Centers.

The North Carolina Area Health Education Centers Library and Information Services (NC AHEC LIS) Network provides library outreach services to rural health care providers in all nine AHEC regions of North Carolina. Over the last twenty-five years, the AHEC and university-based librarians have collaborated to create a model program for support of community-based clinical education and information access for rural health care providers. Through several collaborative projects, they have supported Internet access for rural health clinics. The NC AHEC Digital Library--under development by NC AHEC, University of North Carolina at Chapel Hill, Duke University, East Carolina University, and Wake Forest University--will further extend access to electronic biomedical information and resources to health professionals in a statewide digital library.

Area Health Education Centers↗
PubMed2005

Customization in a unified framework for summarizing medical literature.

OBJECTIVE: We present the summarization system in the PErsonalized Retrieval and Summarization of Images, Video and Language (PERSIVAL) medical digital library. Although we discuss the context of our summarization research within the PERSIVAL platform, the primary focus of this article is on strategies to define and generate customized summaries. METHODS AND MATERIAL: Our summarizer employs a unified user model to create a tailored summary of relevant documents for either a physician or lay person. The approach takes advantage of regularities in medical literature text structure and content to fulfill identified user needs. RESULTS: The resulting summaries combine both machine-generated text and extracted text that comes from multiple input documents. Customization includes both group-based modeling for two classes of users, physician and lay person, and individually driven models based on a patient record. CONCLUSIONS: Our research shows that customization is feasible in a medical digital library.

Abstracting and Indexing↗
PubMed1997

[Value of automated medical indexing of an image database and a digital radiological library].

We indexed the contents of a radiology server on the web to facilitate access to research documents and to link reference texts to images contained in radiology databases. Indexation also allows case reports to be transformed with no supplementary work into formats compatible with computer-assisted training. Indexation was performed automatically by ADM-Index, the aim being to identify the medical concepts expressed within each medical text. Two types of texts were indexed: medical imaging reference books (Edicerf) and case reports with illustrations and captions (Iconocerf). These documents are now available on a web server with HTML format for Edicerf and on an Oracle database for Iconocerf. When the user consults a chapter of a book or a case report, the indexed terms are displayed in the heading; all reference texts and case reports containing the indexed terms can then be called up instantaneously. The user can express his search in natural language. Indexation follows the same process allowing instantaneous recall of all reference texts and case reports where the same concept appears in the diagnosis or clinical context. By using the context of the case reports as the search index, all case reports involving a common medical concept can be found. The context is interpreted as a question. When the user responds to this question, ADM-Index compares this response with the answer furnished by the reference texts and case reports. Correct or erroneous responses can thus be identified, converting the system into a computer-assisted training tool.

Abstracting and Indexing↗
PubMed2006

Lessons learned from evaluation of the use of the National electronic Library of Infection.

The National electronic Library of Infection (NeLI: http://www.neli.org.uk) in the UK is a freely available portal to key evidence and guidelines in the infectious disease field. This paper discusses 5 years of evaluation of the pilot library and how this evaluation informed design of the new library website. The importance of combining qualitative and quantitative evaluation is highlighted and the results of web access logs analysis, free text search query analysis and an online user survey are compared. The paper concludes with a discussion of lessons learned for future development and evaluation of this Internet digital library.

Communicable Diseases↗
PubMed1998

A performance comparison of communication links between rural hospitals and a digital health sciences library.

BACKGROUND: Rural physicians need access to digital health sciences libraries (DHSLs) that is easy and reasonably rapid. The goal of this project was to study rural hospitals' access to a DHSL on the Internet, by comparing differing access speeds with differing costs and their acceptability for retrieving text, image, and video information in a DHSL. METHODS: DHSL system response time was measured at three different times during the day over three different types of network connections (T1, Frame Relay, Modem). Text, image, and video information was retrieved. Costs were determined for installation and operation of the different types of network connections. RESULTS: System response times were consistent at the three different testing times for each media type retrieved by each of the three network connection types. System response times for text retrieval met literature standards for all connections. Image retrieval met literature standards for T1 and Frame relay connections. No connection met literature standards for video retrieval. CONCLUSIONS: High speed access to DHSLs is preferable; Frame relay connections provide substantively similar service as T1 connections at less cost. However, access via modem to a DHSL can provide access to the majority of information--text--in a DHSL with an acceptable system response time.

Costs and Cost Analysis↗
PubMed1998

Academic medical center libraries on the Web.

Academic medical center libraries are moving towards publishing electronically, utilizing networked technologies, and creating digital libraries. The catalyst for this movement has been the Web. An analysis of academic medical center library Web pages was undertaken to assess the information created and communicated in early 1997. A summary of present uses and suggestions for future applications is provided. A method for evaluating and describing the content of library Web sites was designed. The evaluation included categorizing basic information such as description and access to library services, access to commercial databases, and use of interactive forms. The main goal of the evaluation was to assess original resources produced by these libraries.

Academic Medical Centers↗
PubMed2005

Digital technology for cardiac pacing.

Digital technology transforms analog signals into digital signals. Digitalization translates data into a numerical sequence of 0 seconds and 1 second or off and on (binary system). Thus encoded, differing signals (static or moving images, sounds, written texts) become homogeneous and can be handled simultaneously in a rapid and flexible manner while maintaining quality and stability. In digital format, data are easy to handle and can be compressed without undergoing any alteration of their contents, creating a vast wealth of information contained in little space, as in digital libraries.

Analog-Digital Conversion↗
PubMed2000

Mobile software agents for Web-based medical image retrieval.

Mobile software agents are a new tool which may assist rural and remote physicians to obtain medical data from digital medical libraries on the Internet. Mobile agents are autonomous software objects that can move from digital library to digital library, analysing data to determine their usefulness to the user. A proof-of-concept system applied to mammography is proposed and a simplified prototype for this system is reported. Enhancement and development plans for the complete proof-of-concept system are suggested.

Information Storage and Retrieval↗
PubMed2006

Specific classification of elibrary resources says more about users' preferences.

BACKGROUND: Medical Subject Headings (MeSH) are a hierarchical taxonomy of over 42,000 descriptors designed to classify scientific literature; it is hierarchical with generic high order headings and specific low order headings. Over 1,000 resources in the Primary Care Electronic Library (PCEL - www.pcel.info) were classified with MeSH. METHODS: Each of the entries or resources in the primary care digital library was assigned up to five MeSH terms. We compared whether the most generic or specific MeSH term ascribed to each resource best predicted user preferences. RESULTS: over the four month period analysed statistically significant differences were found for resources according to specific key MeSH terms they were classified by. This result was not repeated for generic key MeSH terms. CONCLUSIONS: Analysis of the use of specific MeSH terms reveals user preferences that would have otherwise remained obscured. These preferences are not found if more generic MeSH terms are analysed.

Consumer Behavior↗
PubMed2004

Marketing and health libraries.

AIM: To present an overview of the concepts of marketing and to examine ways in which they can be applied to health libraries. METHODS: A review was carried out of literature relating to health libraries using LISA, CINAHL, BNI and Google. RESULTS: Marketing is seen as a strategic management activity aimed at developing customer relationships. Concepts such as the 'four Ps' (product, price, place and promotion), marketing plans, the marketing mix, segmentation, promotion and evaluation are identified and discussed in relation to health libraries. CONCLUSION: In increasingly complex health service and information environments, the marketing and promotion of library services is becoming more important if those services are to justify the resources given to them. Marketing techniques are equally applicable to physical and digital library services.

Advertising↗
PubMed2004

Image catalogs.

The advent of digital photography and radiography allows documentation of interesting clinical findings with unprecedented ease, and many orthopaedic surgeons have taken extensive advantage of this opportunity to create large digital libraries of clinical results. However, this leaves surgeons with a rapidly increasing volume of data to store and organize; therefore, a system for archiving, locating, and managing images, radiographs, and digital slide presentations has become a crucial need in most orthopaedic groups and practices. However, many surgical groups and practices are not familiar with the computer technology available to initiate such systems. In this review, we discuss several software solutions currently on the market to address the specific needs of orthopaedic surgeons, and as a practical example, discuss a system that is in place in the Department of Orthopaedic Surgery at our institution. Overall, depending on the individual circumstances of each institution, there are various options that meet different technologic and financial requirements.

Computer Storage Devices↗
PubMed1995

Hand-held digital books in radiology: convenient access to information.

Radiologists need constant, convenient access to current information throughout the course of their daily work. Today most learning in radiology is obtained from the printed word in books, journals, and teaching files, supplemented by the spoken word in lectures and conferences. Although learning from printed material and lectures has been proved efficacious over time, these media share the disadvantage of not being conveniently available for reference during the course of daily work at the alternator or in the examination room when accurate and up-to-date information is needed the most. As a result, many important questions about patient care go unanswered. We have developed a technique--hand-held digital books--to lower this barrier to searching and retrieval. When radiologists have a digital library that can be carried with them, they will be able to incorporate current radiology information into their daily decision making. We describe a technique for creating hand-held digital books and their future use in radiology.

Humans↗
PubMed2004

User-controlled mapping of significant literatures.

We apply a version of our web-based literature-mapping system to PNAS for 1971-2002, as indexed by the National Library of Medicine and the Institute for Scientific Information. Given a single input term from a user, a medical subject heading, a cocited author, or a cocited journal, PNASLINK rapidly displays views in which that term and the other 24 terms that most frequently co-occur with it in a bibliographic database are interrelated in ways suggesting fruitful combinations for document retrieval. The interrelationships are produced by two algorithms, pathfinder networks and Kohonen-style self-organizing maps. PNASLINK displays are themselves interactive interfaces that can retrieve documents from digital libraries (e.g., PNAS Online). This style of visualizing knowledge domains is called "localized" because it does not attempt to map the indexing of literatures in full but concentrates on the top terms in an "associative thesaurus" reflecting user interests. It also permits swift remappings, as the user recognizes terms worth pursuing. PNASLINK is illustrated with maps drawn from the literature of population genetics. Some comparative and evaluative comments are added, one from a domain expert indicating that the face validity of the system may be tempered by insufficient specificity in the indexing terms being mapped.

Databases, Bibliographic↗
PubMed2001

Reading factor: a bibliometric tool to manage a virtual library.

UNLABELLED: Among the many bibliometric criteria used to evaluate biomedical journals, the impact factor is the most commonly used. Despite its limitations, it quantifies the influence of a journal on secondary publications. It does not however evaluate the practical usefulness of primary documents. Usefulness is field-related and varies greatly among specialities. We introduce a new bibliographic criterion, the "reading factor", and define it as the ratio between the number of electronic consultations of a particular journal (i.e., number of clicks on a hyper-link) and the mean number of electronic consultations of all the journals studied (itself calculated by dividing the total number of electronic accesses by the number of journals in the database). We describe its observed distribution, relative to that of the impact factor, based on electronic consultation records from our University Hospital medical digital library, where full-text electronic versions of 45 major biomedical journals have been available since December 1997. From this analysis we found no correlation between the 1999 reading factor and the 1998 impact factor of these 45 journals, and we observed a dramatic change in the hierarchy of journals upon using the reading factor as the yardstick rather than the impact factor. Moreover, we describe how using the reading factor has helped in managing the collection of our University Hospital's virtual library. The selection of journals to be discarded from the virtual library for the year 2001 was based on journals' RF values and this process will repeated over the coming years. The reading factor also permits a cost-analysis of a virtual library. CONCLUSION: The measurement of the reading factor is highly automated, practical and efficient. It appears as a new tool for electronic collection management by librarians, well fitting with economical data.

Bibliometrics↗
PubMed2001

From data to knowledge--the Visible Human Project continues.

The U. S. National Library of Medicine (NLM) has long been a world leader in the archiving and distribution of the print-based images of biology and medicine. NLM has also been a pioneer in the use of computer systems to encode and distribute textual knowledge of the life sciences. NLM's Long Range Planning effort of 1985-86 foresaw a coming era where NLM's Bibliographic and factual database services would be complemented by libraries of digital images, distributed over high speed computer networks. The NLM Planning Panel on Electronic Imaging recommended that NLM should undertake the building a digital image library consisting of computerized tomography (CT) and magnetic resonance (MR) images, and cryosection images of a representative, carefully selected and prepared male and female cadaver--the "Visible Human Project ." The male and female Visible Human data sets are now being made available through a license agreement with the NLM. The data sets are supporting a wide range of educational, diagnostic, treatment planning, and commercial uses. The NLM, in partnership with other U.S. government research agencies has begun a three prong effort within the Visible Human Project to address: the creation of a new online, interactive, digital head-and-neck atlas; the development of a tool kit of computational programs capable of automatically performing many of the basic data handling functions required for using Visible Human data in applications; and the improved resolution of future Visible Human data sets through the reduction of the anatomical artifacts introduced by the methods used to stabilize and section the anatomical materials and the development of staining and wide-spectrum methods for increasing tissue contrast.

Anatomy, Artistic↗
PubMed2003

Characterizing the stress/defense transcriptome of Arabidopsis.

BACKGROUND: To understand the gene networks that underlie plant stress and defense responses, it is necessary to identify and characterize the genes that respond both initially and as the physiological response to the stress or pathogen develops. We used PCR-based suppression subtractive hybridization to identify Arabidopsis genes that are differentially expressed in response to ozone, bacterial and oomycete pathogens and the signaling molecules salicylic acid (SA) and jasmonic acid. RESULTS: We identified a total of 1,058 differentially expressed genes from eight stress cDNA libraries. Digital northern analysis revealed that 55% of the stress-inducible genes are rarely transcribed in unstressed plants and 17% of them were not previously represented in Arabidopsis expressed sequence tag databases. More than two-thirds of the genes in the stress cDNA collection have not been identified in previous studies as stress/defense response genes. Several stress-responsive cis-elements showed a statistically significant over-representation in the promoters of the genes in the stress cDNA collection. These include W- and G-boxes, the SA-inducible element, the abscisic acid response element and the TGA motif. CONCLUSIONS: The stress cDNA collection comprises a broad repertoire of stress-responsive genes encoding proteins that are involved in both the initial and subsequent stages of the physiological response to abiotic stress and pathogens. This set of stress-, pathogen- and hormone-modulated genes is an important resource for understanding the genetic interactions underlying stress signaling and responses and may contribute to the characterization of the stress transcriptome through the construction of standardized specialized arrays.

Arabidopsis↗
PubMed2026

Privacy, security, and reliability risks of artificial intelligence in healthcare: a systematic review of empirical evidence.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare information systems, supporting clinical decision-making, imaging analysis, and predictive modeling. While these applications offer operational and clinical benefits, they also introduce emerging risks to patient privacy, data security, and system reliability. OBJECTIVE: To systematically review empirical evidence on privacy breaches, security vulnerabilities, and misuse associated with AI applications in healthcare settings. METHODS: PubMed, Embase, Web of Science, Scopus, IEEE Xplore, and ACM Digital Library were searched for empirical studies published between January 2015 and November 2025 that evaluated AI use or misuse in clinical diagnosis, treatment, or decision-making. Two reviewers independently screened studies and extracted data using a standardized form. Findings were synthesized narratively due to heterogeneity in study designs, AI methods, and reported outcomes. RESULTS: Of 7,285 records identified through database searches and 205 through citation screening, 22 empirical studies met the inclusion criteria, spanning multiple clinical domains and data modalities, predominantly medical imaging applications. Five recurring threat categories were identified: patient re-identification, membership inference, unauthorized access and adversarial exploitation, input manipulation, and misuse or overinterpretation of AI outputs. Across studies, AI models were shown to encode latent biometric signals across diverse data types, limiting the effectiveness of traditional anonymization and synthetic data approaches. Adversarial attacks and input manipulation were also shown to compromise diagnostic performance and system integrity. CONCLUSION: This systematic review provides empirical evidence suggesting that contemporary AI systems in healthcare introduce privacy and security risks that may challenge traditional assumptions about data protection. These findings underscore the need for privacy- and security-by-design approaches and governance frameworks that address risks across the AI lifecycle.

Humans↗