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Application of Dynamic Enhanced Magnetic Resonance Imaging in the Diagnosis of Hematological Malignancies.

The use of dynamic enhanced magnetic resonance imaging technology can effectively explore the diagnosis and clinical application of hematological malignancies. This paper selected 60 patients with hematological malignancies from 2015 to 2019; all of whom were diagnosed with hematological malignancies, including 40 men and 20 women, aged between 40 and 77 years. The main clinical manifestations of the patient are hematological malignancies, fever, and other symptoms. We used Siemens 3.0T to perform MRI and dynamic enhanced MRI examinations on 30 patients with hematological tumors. The PACS syst

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… Today, the level of informatization is getting higher, and the massive growth in medical imaging data makes it more necessary to use computers for automatic processing or to extract key information for doctors, thereby promoting the development of computer-aided diagnosis. … Journal of Medical Imaging and Health Informatics . 2015;5(8):1752–1758. doi: 10.1166/jmihi.2015.1640. 4. Rémi P., Niederer J., Kaplan J., Huffmaster S. A., Mackinnon C. Morphological changes in the subthalamic nucleus of people with mild-to-moderate Parkinson’s disease: a 7T MRI study. …

Natural language processing for abstraction of cancer treatment toxicities: accuracy versus human experts.

ObjectivesExpert abstraction of acute toxicities is critical in oncology research but is labor-intensive and variable. We assessed the accuracy of a natural language processing (NLP) pipeline to extract symptoms from clinical notes compared to physicians.Materials and methodsTwo independent reviewers identified present and negated National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) v5.0 symptoms from 100 randomly selected notes for on-treatment visits during radiation therapy with adjudication by a third reviewer. A NLP pipeline based on Apache clinical Text Analys

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… These were initially mapped as SNOMED CT terminology and mapped to Medical Dictionary for Regulatory Activities (MedDRA) terms using the Observational Health Data Sciences and Informatics Athena vocabulary. … SUPPLEMENTARY MATERIAL Supplementary material is available at Journal of the American Medical Informatics Association online. FUNDING This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. …

Development and Internal Validation of a Risk Prediction Model to Identify Myeloma Based on Routine Blood Tests: A Case-Control Study.

Myeloma is one of the hardest cancers to diagnose in primary care due to its rarity and non-specific symptoms. A rate-limiting step in diagnosing myeloma is the clinician considering myeloma and initiating appropriate investigations. We developed and internally validated a risk prediction model to identify those with a high risk of having undiagnosed myeloma based on results from routine blood tests taken for other reasons. A case-control study, based on 367 myeloma cases and 1488 age- and sex-matched controls, was used to develop a risk prediction model including results from 15 blood tests.

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… The data used for this research project are available to the research community via application to LTHT Research Data and Informatics team. The R code used in the analysis can be found at https://github.com/LFairleySmith/MyelomaPrediction (accessed on 25 January 2023). … The data used for this research project are available to the research community via application to LTHT Research Data and Informatics team. The R code used in the analysis can be found at https://github.com/LFairleySmith/MyelomaPrediction (accessed on 25 January 2023). …

Evaluation of controlled vocabulary resources for development of a consumer entry vocabulary for diabetes.

BackgroundDigital information technology can facilitate informed decision making by individuals regarding their personal health care. The digital divide separates those who do and those who do not have access to or otherwise make use of digital information. To close the digital divide, health care communications research must address a fundamental issue, the consumer vocabulary problem: consumers of health care, at least those who are laypersons, are not always familiar with the professional vocabulary and concepts used by providers of health care and by providers of health care information, a

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… Vocabulary differences affecting information retrieval and conceptual frameworks for reconciling those differences have long been studied in the fields of information science and informatics [ 33 - 36 ]. … The problem of vocabulary differences is complicated for health care consumer informatics due to variations in the precision of the meanings of health care vocabulary as used by laypersons, and the lack of consistent semantic overlap of layperson vocabulary with professional vocabulary [ 6 , 35 ]. …

Development and 10-year history of a biosimilar: the example of Binocrit®.

Patent expirations for several biological products have prompted the development of alternative versions, termed 'biosimilars', which have comparable quality, safety and efficacy to a licensed biological medicine (also referred to as the 'reference' medicine). The first biosimilars developed in oncology were the supportive-care agents filgrastim and epoetin. Binocrit® (HX575) is a biosimilar version of epoetin alfa, indicated in the oncology setting for the treatment of chemotherapy-induced anemia (CIA). The process for development and approval of Binocrit® as a biosimilar included extensive a

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… IMS Institute for Health Informatics. Delivering on the potential of biosimilar medicines. Parsippany: IMS Institute for Health Informatics, 2016. 4. McCamish M, Woollett G. The state of the art in the development of biosimilars. Clin Pharmacol Ther 2012; 91: 405–417. 5. …

Urban and Rural Differences in Cancer Treatment Disruption Among Patients With COVID-19: An Analysis of the US ASCO COVID-19 in Oncology Registry.

IntroductionCancer patients in rural areas experience greater barriers to treatment access compared with patients in urban areas. There is limited research on how the COVID-19 pandemic affected cancer treatment delivery for rural patients who were also diagnosed with COVID-19. This study has two objectives: to assess (1) the urban-rural differences in cancer care and (2) the predictors of cancer treatment delay or discontinuation (TDD) among patients diagnosed with COVID-19.MethodsWe used data from the American Society of Clinical Oncology Survey on COVID-19 in Oncology Registry (March 2020-Se

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… G., “Research Electronic Data Capture (REDCap)—a Metadata‐Driven Methodology and Workflow Process for Providing Translational Research Informatics Support,” Journal of Biomedical Informatics 42, no. 2 (2009): 377–381, 10.1016/j.jbi.2008.08.010. 31. Harris P. A., Taylor R., Minor B. … L., et al., “The REDCap Consortium: Building an International Community of Software Platform Partners,” Journal of Biomedical Informatics 95 (2019): 103208, 10.1016/j.jbi.2019.103208. 32. …

Central Venous Access Device Complications and Premature Removal in Patients With Haematological Malignancies: A Multi-Site Cohort Study.

BackgroundPatients with haematological malignancies require urgent and reliable venous access for the administration of systemic anticancer therapies (SACTs) commonly via central venous access devices (CVADs). Disease pathophysiology and side effects of SACTs increase the risk of complications during the dwell time and premature removal. CVAD complications are associated with treatment disruption, increased morbidity and mortality. This study aimed to comprehensively describe CVAD performance over a 12-month period in patients with haematological malignancies.MethodsA multi-site cohort study a

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… Minor , et al., “ The REDCap Consortium: Building an International Community of Software Platform Partners ,” Journal of Biomedical Informatics 95 ( 2019 ): 103208 . 31078660 10.1016/j.jbi.2019.103208 PMC7254481 18 P. A. Harris , R. Taylor , R. Thielke , J. Payne , N. Gonzalez , and J. G. … Conde , “ Research Electronic Data Capture (REDCap)—A Metadata‐Driven Methodology and Workflow Process for Providing Translational Research Informatics Support ,” Journal of Biomedical Informatics 42 , no. 2 ( 2009 ): 377 – 381 . 18929686 10.1016/j.jbi.2008.08.010 PMC2700030 19 R Core Team , R: A Language …

Progress and research trends in neurogenic bladder after spinal cord injury bibliometric analysis based on web of science database: An observational study.

Neurogenic bladder (NB) is a significant complication that often occurs after spinal cord injury. It results from urinary dysfunction caused by the injury, disrupting the normal neural control of the bladder and urethra. Symptoms of NB can include urinary frequency, urgency, incontinence, and retention, all of which can greatly impact the quality of life of affected individuals. While there are articles and reviews on NB, fewer specifically address NB following spinal cord injury. This study examined 1095 publications from January 1, 2000, to March 27, 2024, in the Web of Science core database

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… Utilizing methods from statistics, computer science, and informatics, it uncovers trends in scientific research, interdisciplinarity, and the influence of academic work by analyzing data such as publication counts, citations, and author collaborations. … , led by key member Chaomei Chen, Professor of Informatics, among others. …

Более широкие соображения в отношении интеграции медицинских и стоматологических данных

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… In either case, the investment into informatics is covered. In an underserved area, more patients get care quicker, which creates the opportunity for quicker resolution, which can lead to a healthier society, which in turn may lead them back to a productive livelihood sooner. … A combined dental-medical electronic record with a shared data informatics platform is most likely to yield the best long-term economic solution while maintaining or enhancing positive patient outcomes. …

Complementing clinical cancer registry data with patient reported outcomes: A feasibility study on routine electronic patient-reported outcome assessment for the Austrian Myelome Registry.

OBJECTIVES: Routinely assessed patient-reported outcomes (PROs), such as quality of life (QOL), are important to supplement clinical cancer data but requires rigorous implementation. This study aims at depicting the implementation procedure and evaluating the feasibility of routine electronic PRO monitoring (ePRO) for collecting data supplementing the Austrian Myeloma Registry (AMR). METHODS: Integration of ePRO monitoring into clinical routine was planned according to the Replicating Effective Programs framework. QOL data were assessed regularly during treatment and aftercare at the hematoon

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… BMC Medical Informatics and Decision Making , 6 , 3 10.1186/1472-6947-6-3 16401336 PMC1352353 Anderson , K. C. ( 2016 ). Progress and paradigms in multiple myeloma . … BMC Medical Informatics and Decision Making , 12 , 126 10.1186/1472-6947-12-126 23140270 PMC3529695 Huebner , J. , Rosé , C. , Geissler , J. , Gleiter , C. H. , Prott , F. J. , Muenstedt , K. , … Hofheinz , R.‐D. ( 2014 ). …

Digital Health Portals for Individuals Living With or Beyond Cancer: Patient-Driven Scoping Review.

BackgroundDigital health portals are online platforms allowing individuals to access their personal information and communicate with health care providers. While digital health portals have been associated with improved health outcomes and more streamlined health care processes, their impact on individuals living with or beyond cancer remains underexplored.ObjectiveThis scoping review aimed to (1) identify the portal functionalities reported in studies involving individuals living with or beyond cancer, as well as the outcomes assessed, and (2) explore the diversity of participant characterist

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… J 2018 06 19 24 2 115 24 10.1177/1460458216658778 27440056 1460458216658778 27440056 67 Rexhepi H Huvila I Åhlfeldt RM Cajander Å Cancer patients' information seeking behavior related to online electronic healthcare records Health Informatics J 2021 07 23 27 3 14604582211024708 10.1177/14604582211024708 … 34296650 34296650 68 Rexhepi H Moll J Huvila I Online electronic healthcare records: comparing the views of cancer patients and others Health Informatics J 2020 12 11 26 4 2915 29 10.1177/1460458220944727 32914701 32914701 69 Santos AD Caine V Robson PJ Watson L Easaw JC Petrovskaya O Oncology patients …

Association of ambient artificial intelligence scribe availability with patient instruction documentation and readability in ambulatory care.

OBJECTIVE: This retrospective cohort study evaluated the effect of an artificial intelligence (AI) scribe on patient instructions documentation in ambulatory internal medicine settings. MATERIALS AND METHODS: We analyzed 391 061 adult encounters at a single medical center from December 2023 to July 2025. A difference-in-differences analysis estimated the relationship of AI scribe availability with patient instructions documentation frequency. Mixed-effects logistic regression estimated the association between encounter-level AI scribe utilization and documentation, adjusted for patient, clini

Variability in automated sepsis case detection: a systematic analysis of implementation methods in clinical data repositories.

OBJECTIVE: To systematically review and characterize methodological heterogeneity in sepsis case detection using the Medical Information Mart for Intensive Care III (MIMIC-III) and eICU-CRD databases. MATERIALS AND METHODS: We conducted a PRISMA-guided systematic review of PubMed and Web of Science (publication years 2016-2024). Studies were eligible if they applied the SOFA-based Sepsis-3 definition to MIMIC-III or eICU-CRD, provided at least one explicit label-calculation detail, reported a traceable detection rate, and met further criteria detailed in the PRISMA flow diagram. We classified

A language model framework for sequence modeling of audit logs to characterize clinician-electronic health record interactions.

OBJECTIVE: Electronic health record (EHR) audit logs capture clinician-EHR interaction patterns, but most audit log research relies on aggregated measures (eg, total time). We investigated how audit logs could be modeled using large language model (LLM) architectures to learn underlying workflow sequences during clinician-EHR interactions. MATERIALS AND METHODS: Using >295 million EHR-based audit log actions from inpatient settings spanning 2019 to 2024, we fine-tuned Llama-3-8B under 2 encodings: (1) symbolic (field-based) tokens and (2) semantic (word-based) natural language-based audit log

Transparency features alone are insufficient for trust calibration in artificial intelligence diagnostic support.

OBJECTIVE: Clinician trust in artificial intelligence (AI) is a frequently cited barrier to adoption, yet there is limited empirical evidence on how transparency features influence trust. This study aimed to address this evidence gap. MATERIALS AND METHODS: We conducted a randomized controlled experiment in which 220 clinicians were randomized to 1 of 3 conditions: no transparency (control), numeric confidence scores, or narrative explanations with citations, using simulated AI diagnostic assistance across clinical case vignettes. RESULTS: Transparency did not influence tool-specific trust [

Health information technology deregulation jeopardizes patient safety and public health.

In this Perspective, we provide the rationale for the retention of safety-critical certification criteria for health information technology by the Office of the National Coordinator for Health Information Technology (ONC). To not do so puts all future American patients at risk. The proposed deregulatory actions are based on faulty premises, will lead to serious adverse patient outcomes, and sets a dangerous precedent. Public safety regulations should be held to a higher standard than other regulations, as a central role of government is to protect the general population from the actions of ind

The consensus-based CINEX guideline for reporting clinical information extraction studies.

OBJECTIVE: Information extraction (IE) from clinical texts has advanced rapidly with recent advances in natural language processing, particularly the advent of large language models (LLMs). However, inconsistent and incomplete reporting of methodologies limits reproducibility, comparability, and clinical translation. We aimed to develop a consensus-based reporting guideline tailored to clinical IE studies. MATERIAL AND METHODS: We developed the Clinical Information Extraction Reporting Guideline (CINEX) through a multi-phase process. The initiative was prospectively registered on the EQUATOR

Small language models in clinical medicine: a systematic review of performance, safety, and deployment feasibility.

OBJECTIVES: To review the clinical evidence for small language models (SLMs), 4 billion parameters or fewer, for performance, safety, and deployment feasibility. MATERIALS AND METHODS: We searched 5 databases through February 10, 2026 for English-language reports of an SLM on a clinical task, following PRISMA 2020 under a PROSPERO-registered protocol. Two reviewers independently assessed eligibility (Cohen κ = 0.93) and rated methodological quality and transparency. We calculated a relative task score (RTS): the primary metric of each study's best-performing qualifying SLM, divided by a study

Lost in transformation: diagnostic aggregation and semantic drift in ICD-derived kidney phenotypes.

OBJECTIVES: To evaluate how cross-terminology mapping of International Classification of Diseases (ICD)-coded diagnoses is associated with preservation of diagnostic distinctions and traceability in electronic health record (EHR)-derived phenotypes for genomic research. MATERIALS AND METHODS: We conducted a retrospective, cross-sectional study of real-world ICD code utilization and semantic fidelity among kidney-related diagnoses. Kidney-relevant ICD-9-CM and ICD-10-CM codes were identified using clinician-curated OHDSI ATLAS searches and evaluated in a large academic health system. ICD codes

Association of medical discrimination and hypertension in adults in the All of Us Research Program.

OBJECTIVES: To examine the associations of medical discrimination with hypertension (HTN) outcomes. MATERIALS AND METHODS: Using cross-sectional data from the All of Us Research Program (2018-2022), we defined elevated blood pressure (BP) as systolic BP ≥130 or diastolic BP ≥ 80 mm Hg. We defined HTN diagnosis as either (1) self-reported HTN or (2) a HTN billing code. Among participants with HTN, we assessed antihypertensive medication use and HTN control. Logistic regression models estimated the associations of medical discrimination (using the Discrimination in Medical Settings Scale) with