For the exchange between science and practice, a language that is as precise as possible is also required in dentisty. This language is necessarily based on our ideas about the relationships in reality. Since standardization is unavoidable, various methods have been developed in informatics as to how these models can be represented and made more precise. On this basis, it is possible to neutrally discuss the situations in which a given form of treatment is expedient or not. A step-by-step approach to standardization of dental language with the aid of meta models is shown by reference to examples. The medrapid.info service is presented as on approach to making medical and dental language more precise.
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J Prosthet Dent
January 2025
Assistant Professor, Department of Pre-Clinic Dentistry, Faculty of Biomedical and Health Sciences, European University of Madrid, Madrid, Spain. Electronic address:
Statement Of Problem: Stereophotogrammetry has been proposed as an alternative to intraoral scanners for recording the location of multiple dental implants. Most studies evaluating its accuracy have been in vitro, and clinical studies are lacking.
Purpose: The purpose of this clinical study was to evaluate the precision of a stereophotogrammetry system for complete arch prostheses supported by 6 implants.
Methods
January 2025
School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Viet Nam. Electronic address:
In the field of medical science, skin segmentation has gained significant importance, particularly in dermatology and skin cancer research. This domain demands high precision in distinguishing critical regions (such as lesions or moles) from healthy skin in medical images. With growing technological advancements, deep learning models have emerged as indispensable tools in addressing these challenges.
View Article and Find Full Text PDFJ Biomed Inform
January 2025
University of Manchester, United Kingdom.
Objective: Extracting named entities from clinical free-text presents unique challenges, particularly when dealing with discontinuous entities-mentions that are separated by unrelated words. Traditional NER methods often struggle to accurately identify these entities, prompting the development of specialised computational solutions. This paper systematically reviews and presents the methodologies developed for Discontinuous Named Entity Recognition in clinical texts, highlighting their effectiveness and the challenges they face.
View Article and Find Full Text PDFJ Chromatogr A
January 2025
Division of Pharmacognosy, School of Pharmaceutical Sciences, State Key Laboratory of Natural and Biomimetic Drugs, Peking University, 38 Xueyuan Road, Beijing 100191, China; Medical College, Tibet University, Lhasa 850002, China. Electronic address:
Identification of constitutive herbs in an herbal product is critical for ensuring its quality and efficacy. However, current identification methods often lack universality, entail long durations, and involve complex procedures. Therefore, there is an urgent need to develop innovative methods for identifying constitutive herbs.
View Article and Find Full Text PDFNutrients
January 2025
Research Unit for Dietary Studies at The Parker Institute, Bispebjerg and Frederiksberg Hospital, 2000 Frederiksberg, Denmark.
Background: Diet significantly impacts the onset and progression of inflammatory bowel disease (IBD), and diet offers unique opportunities for treatment and preventative purposes. However, despite growing interest, no diet has been conclusively associated with improved long-term clinical and endoscopic outcomes in IBD, and evidence-based dietary guidelines for IBD remain scarce. This narrative review critically examines dietary assessment methods tailored to the unique needs of IBD, highlighting opportunities for precision and inclusivity.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!