Objective: The study was to assess the importance of the problem of medical adherence (MA) among therapists in St. Petersburg (2021).
Material And Methods: The study involved 96 doctors of various therapeutic specialties (neurologists, therapists and rheumatologists), who were asked to respond to an original questionnaire concerning MA, that was designed in neurology department of Military Medical academy .a. S.M. Kirov, St. Petersburg It was found that, according to experts, the main negative factors that significantly decreases MA are the high cost of the drug (40.1%) and polypharmacy (22.1%); the main property of the drug associated with high MA is the convenience of taking it - once a day (51.1%). Such drugs include, for example, a new form of the muscle relaxant tolperisone hydrochloride prolonged release 450 mg.
Results And Conclusions: According to experts, the main negative factors that significantly reduce MA are the high cost of the drug (40.1%) and polypharmacy (22.1%); the main property of the drug associated with high MA on the part of patients is the convenience of its administration - 1 once a day (51.1%). Such drugs include, for example, a new form of release of the muscle relaxant tolperisone hydrochloride prolonged release 450 mg.
Conclusions: A systematic approach is required to improve MA, carried out both at the state level (changing public consciousness, financing systems, etc.) and in tandem doctor-patient (moving away from paternalistic medicine, prescribing depot forms of drugs, etc.).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.17116/jnevro202112112151 | DOI Listing |
JMIR Med Inform
January 2025
Department of Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.
Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.
Cureus
December 2024
Department of Orthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, IRN.
Background Orthodontic diagnostic workflows often rely on manual classification and archiving of large volumes of patient images, a process that is both time-consuming and prone to errors such as mislabeling and incomplete documentation. These challenges can compromise treatment accuracy and overall patient care. To address these issues, we propose an artificial intelligence (AI)-driven deep learning framework based on convolutional neural networks (CNNs) to automate the classification and archiving of orthodontic diagnostic images.
View Article and Find Full Text PDFOphthalmol Sci
November 2024
Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology, Shiley Eye Institute, University of California, San Diego, La Jolla, California.
Purpose: The aim is to assess GPT-4V's (OpenAI) diagnostic accuracy and its capability to identify glaucoma-related features compared to expert evaluations.
Design: Evaluation of multimodal large language models for reviewing fundus images in glaucoma.
Subjects: A total of 300 fundus images from 3 public datasets (ACRIMA, ORIGA, and RIM-One v3) that included 139 glaucomatous and 161 nonglaucomatous cases were analyzed.
Front Immunol
January 2025
First Department of Pediatrics, Weifang People's Hospital Affiliated to Shandong Second Medical University, Weifang, China.
Autoimmune cerebellar ataxia (ACA) is a cerebellar syndrome induced by autoimmune reactions and its onset is induced by malignant tumors, prodromic infection, and gluten allergy. Its clinical symptoms include gait disorder, limb ataxia, dysarthria, and dysphagia. According to , the diagnosis of ACA is based on the following points: 1.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Laboratory of Neurogenetics and Molecular Medicine, Center for Genomic Sciences in Medicine, Institut de Recerca Sant Joan de Déu, Únicas SJD Center, Hospital Sant Joan de Déu, Barcelona, Spain.
Background: Rare diseases (RDs) are a heterogeneous group of complex and low-prevalence conditions in which the time to establish a definitive diagnosis is often too long. In addition, for most RDs, few to no treatments are available and it is often difficult to find a specialized care team.
Objectives: The project "acERca las enfermedades raras" (in English: "bringing RDs closer") is an initiative primary designed to generate a consensus by a multidisciplinary group of experts to detect the strengths and weaknesses in the public healthcare system concerning the comprehensive care of persons living with a RD (PLWRD) in the region of Catalonia, Spain, where a Network of Clinical Expert Units (Xarxa d'Unitats de Expertesa Clínica or XUEC) was created and is being implemented since 2015.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!