Результаты поиска

Digital Color Vision Testing in Optic Neuropathy: Are Smartphone Apps Ready for Clinical Use?

BACKGROUND: Color vision impairment is a common feature of optic neuropathy, typically assessed with the printed Ishihara booklet. Smartphone-based alternatives are increasingly used, but their diagnostic performance in optic neuropathy is incompletely established. METHODS: In this prospective, single-center diagnostic study, 77 participants (42 healthy trichromats and 35 patients with unilateral optic neuropathy of various etiologies) completed 3 monocular color vision tests in a randomized order: a 17-plate Ishihara booklet, the PseudoChromatic ColorTest (PCCT) smartphone application, and t…

Ecological Assessment of Transdiagnostic Clinical Symptoms in Serious Mental Illness with Daily Smartphone Surveys.

Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-based assessments often fail to capture these daily changes. Smartphone-based ecological surveys offer a scalable approach to monitoring symptoms in naturalistic settings. We analyzed longitudinal data from 56 outpatients with psychotic or affective disorders who completed 12,984 daily surveys and 1,028 clinical assessments over one year. Machine learning models showed that smartphone surveys moderately estimated Montgomery-Åsberg Depression Rating Scale (rrm = 0.57; p < 0.001) and Young Mania Ratin…

Relationship of Smartphone Addiction with Cyberbullying, Alcohol Use, Depression, and Anxiety Among University Students.

Smartphone addiction is one of the major social issues among young people these days. The current study aims to identify the determinants of smartphone addiction and examine the association between smartphone addiction and multiple behavioral/psychological problems. The study sample consisted of 1105 university students from Singapore. Students in the high-risk smartphone use group reported higher levels of smartphone addiction, cybervictimization, and depressive and anxiety symptoms. Depressive and anxiety symptoms showed a positive association with smartphone addiction. Additionally, both de…

Tracking Migraine Symptoms: A Longitudinal Comparison of Smartphone-Based Headache Diaries and Clinical Interviews.

Background/Objectives: By leveraging the capabilities of a smartphone-based headache diary, the objective of this study was to determine the amount of agreement between migraine-associated symptomatology during headache events and the symptoms documented during clinician-led intake interviews. Methods: This was a 90-day longitudinal, smartphone-based headache calendar study for participants diagnosed with migraine. Registered headache events were labeled as "definite migraine", "probable migraine", and "not migraine" in accordance with the International Classification of Headache Disorders, Th…

Smartphone-integrated ratiometric fluorescent probe for on-site hydroxyl radical detection and arthritis imaging.

The hydroxyl radical (·OH), the most reactive oxygen species, significantly contributes to oxidative diseases but is difficult to detect in real-time due to its ultrashort half-life. Herein, we present a novel ratiometric fluorescent probe YCF for selective monitoring of ·OH. The probe YCF combines a tricyanofuran acceptor and dihydroquinoline donor, featuring an acetyl recognition site. Upon ·OH oxidation, YCF shows a distinct spectral shift: emission decreases at 608 nm and increases at 522 nm (λex = 425 nm), enabling self-calibrated detection (I522/I608). It exhibits high sensitivity (LOD =

Retrospective study of smartphone usage effects on tension-type headache prevalence in young adults.

Tension-type headache (TTH) is rising among young adults, potentially linked to increasing smartphone use. This retrospective study investigated the association between smartphone usage and TTH among 120 participants aged 18-30 years. Individuals with screen time exceeding 4 hours/day reported significantly more frequent and severe headaches. Posture and type of smartphone activity also influenced headache intensity. Thus, the findings call for behavioral interventions to mitigate TTH risk.

Психометрические характеристики анализа состояния хронического здоровья на основе смартфонов: систематический обзор.

Справочная информация: Хроническое состояние здоровья часто приводит к нездоровым походам, негативно сказывается на качестве жизни и мобильности. Анализ походов на основе смартфонов стал многообещающей альтернативой традиционным методам, обеспечивающим доступность, эффективность с точки зрения затрат и переводимость. Этот систематический обзор позволяет оценить достоверность, надежность и чувствительность смартфонов для оценки параметров похода у лиц с хроническими заболеваниями. Методы: Комплексный поиск литературы в сети &quot; Web of Science &quot; , &quot; PubMed &quot; , &quot; Google Sci

Совпадение в аннотации оригинала
Background: Chronic health conditions frequently result in gait disturbances, impacting quality of life and mobility. Smartphone-based gait analysis has emerged as a promising alternative to traditional methods, offering accessibility, cost effectiveness, and portability. This systematic review evaluates smartphone-based inertial measurement units' validity,…

Decreased frontal theta frequency during the presence of smartphone among children: an EEG study.

BACKGROUND: Smart devices have become an integral part of our lives. However, research has highlighted the potential implications of smartphone presence on task performance, particularly in young children. This study aimed to determine the effect of a smartphone presence on brainwaves associated with cognitive interruption in children. METHODS: EEG data were collected from 5.3 to 8.5-year-old children performing a simple reaction time task with and without the presence of a smartphone. Theta and alpha bands were calculated, and repeated measure analysis of variance was performed to assess the…

Predicting and Monitoring Symptoms in Patients Diagnosed With Depression Using Smartphone Data: Observational Study.

BACKGROUND: Clinical diagnostic assessments and the outcome monitoring of patients with depression rely predominantly on interviews by professionals and the use of self-report questionnaires. The ubiquity of smartphones and other personal consumer devices has prompted research into the potential of data collected via these devices to serve as digital behavioral markers for indicating the presence and monitoring of the outcome of depression. OBJECTIVE: This paper explores the potential of using behavioral data collected with smartphones to detect and monitor depression symptoms in patients dia…

Deep learning-assisted smartphone-based quantitative microscopy for label-free peripheral blood smear analysis.

Hematologists evaluate alterations in blood cell enumeration and morphology to confirm peripheral blood smear findings through manual microscopic examination. However, routine peripheral blood smear analysis is both time-consuming and labor-intensive. Here, we propose using smartphone-based autofluorescence microscopy (Smart-AM) for imaging label-free blood smears at subcellular resolution with automatic hematological analysis. Smart-AM enables rapid and label-free visualization of morphological features of normal and abnormal blood cells (including leukocytes, erythrocytes, and thrombocytes).…

Age-related smartphone use patterns among individuals with moderate-to-severe traumatic brain injury.

OBJECTIVE: With mobile health technologies serving as an alternative means of providing healthcare, evaluating patients' abilities to navigate digital infrastructures is becoming increasingly relevant. The goal of this study is to investigate smartphone use patterns among individuals with history of moderate-to-severe traumatic brain injury (TBI). METHODS: An anonymous survey was delivered via e-mail or text message to eligible participants who had a history of moderate-to-severe TBI and were prospectively followed at one of the eight participating Traumatic Brain Injury Model Systems centers…

Ask Doctor Smartphone! An App to Help Physicians Manage Foreign Body Ingestions in Children.

BACKGROUND: Foreign body ingestion (FBI) represents the most common cause of emergent gastrointestinal endoscopy in children. FBI's management can be quite challenging for physicians because of the variability of the clinical presentation, and the decision tree becomes even more intricate because of patient-specific variables that must be considered in the pediatric age range (e.g., age of patients and neuropsychiatric disorders) in addition to the mere characteristics of the foreign body. We present an application for smartphones designed for pediatricians and pediatric surgeons based on the …

A novel smartphone scleral-image based tool for assessing jaundice in decompensated cirrhosis patients.

BACKGROUND AND AIM: Serum bilirubin is an established marker of liver disease. Reliable tools for non-invasive assessment of jaundice in cirrhosis patients, at risk of clinical decompensation, are highly desirable. While smartphone-based imaging has been described in neonatal jaundice, it has not been investigated in advanced cirrhosis patients. METHODS: We included 46 hospitalized patients with acute cirrhosis decompensation and jaundice. Scleral images using an Android smartphone were taken to derive "Scleral Color Values (SCV)," which were matched with same day serum bilirubin measurements…

Computer vision detects inflammatory arthritis in standardized smartphone photographs in an Indian patient cohort.

INTRODUCTION: Computer vision extracts meaning from pixelated images and holds promise in automating various clinical tasks. Convolutional neural networks (CNNs), a deep learning network used therein, have shown promise in analyzing X-ray images and joint photographs. We studied the performance of a CNN on standardized smartphone photographs in detecting inflammation in three hand joints and compared it to a rheumatologist's diagnosis. METHODS: We enrolled 100 consecutive patients with inflammatory arthritis with an onset period of less than 2 years, excluding those with deformities. Each pat…

The relationship between carpal tunnel syndrome, smartphone use, and addiction: A cross-sectional study.

OBJECTIVES: This study aims to investigate the use of and addiction to smartphones in individuals with and without carpal tunnel syndrome (CTS). PATIENTS AND METHODS: The cross-sectional study included a total of 404 participants (286 females, 118 males; mean age: 39.7±11.6 years; range, 16 to 75 years) who applied to the Neurology Department of the Fırat University Faculty of Medicine, between April 2019 and October 2019. The participants were divided into two groups: 202 patients diagnosed with CTS were included in the case group, and 202 patients and their relatives who did not have hand a…

Smartphone-Assisted High-Intensity Interval Training in Inflammatory Rheumatic Disease Patients: Randomized Controlled Trial.

BACKGROUND: Patients with inflammatory rheumatic diseases (IRDs) experience disease-related barriers to physical training. Compared with the general population, IRD patients are reported to have reduced maximal oxygen uptake (VO2max) and physical activity levels. Supervised high-intensity interval training (HIIT) is documented to counteract the reduced VO2max and poor cardiovascular health associated with IRDs. However, supervised HIIT is resource demanding. OBJECTIVE: This study sought to investigate if self-administered 4×4-min HIIT guided by a smartphone app (Myworkout GO) could yield simi…

Graded Exposure Therapy for Online Mobile Smartphone Sports Betting Addiction: A Case Series Report.

Advances in technology and increased usage of electronic mobile devices over the past decade have changed the way gamblers engage with onlin … e inherent differences, we cannot conclude that evidence for the effectiveness of treatment for non-smartphone problem gambling (PG) automatically translates to online smartphone sports betting PG. The aim of this study, therefore, was to describe the feasibility and preliminary effectiveness of cue exposure therapy (CET) to treat individuals presenting to a …

Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone.

In this paper, we present an approach to improve the accuracy of hand tremor severity in Parkinson's patients in real-life unconstrained environments. The system leverages data achieved from daily interaction people with their smartphones and uses technologies for classifying and combining data. We describe the basic concept of data fusion and demonstrate how different combination techniques can improve the accuracy of tremor detection. The fusion enable to achieve the 23.5% improvement with respect to the average of individual classification models.

Identification of Anterior Cervical Spinal Instrumentation Using a Smartphone Application Powered by Machine Learning.

STUDY DESIGN: Cross-sectional study. OBJECTIVE: The purpose of this study is to develop and validate a machine learning algorithm for the automated identification of anterior cervical discectomy and fusion (ACDF) plates from smartphone images of anterior-posterior (AP) cervical spine radiographs. SUMMARY OF BACKGROUND DATA: Identification of existing instrumentation is a critical step in planning revision surgery for ACDF. Machine learning algorithms that are known to be adept at image classification may be applied to the problem of ACDF plate identification. METHODS: A total of 402 smartph…