Gaussian Filtering based Image Integration for Improved Disease Diagnosis and Treatment Planning

2021 ◽  
Author(s):  
Rahul ◽  
Bhawna Goyal
Keyword(s):  
Treatment Planning ◽  
Disease Diagnosis ◽  
Diagnosis And Treatment ◽  
Image Integration ◽  
Gaussian Filtering

Diagnosis and Treatment Planning for the Surgical-Orthodontic Patient

1989 ◽  
Vol 16 (4) ◽  
pp. 645-658 ◽  
Author(s):  
Katherine Dryland Vig, BDS ◽  
Edward Ellis
Keyword(s):  
Treatment Planning ◽  
Diagnosis And Treatment

Síndrome da Anca de Ressalto

2018 ◽  
Vol 9 (1) ◽  
pp. 8
Author(s):  
Bernardo Almeida
Keyword(s):  
Surgical Treatment ◽  
Hip Joint ◽  
Scientific Literature ◽  
Therapeutic Targets ◽  
Clinical History ◽  
Disease Diagnosis ◽  
Diagnosis And Treatment ◽  
Snapping Hip ◽  
Predominant Symptom ◽  
Snapping Hip Syndrome

Snapping hip syndrome is a condition in which the predominant symptom is the snapping feelingaround the hip joint caused by a dynamic impingement between muscles or tendons and boneprominences. The etiology of the snapping hip types and consequently the therapeutic targets havebeen subjects of discussion and controversy along the years. A careful clinical history and physicalexamination is frequently enough for this disease diagnosis. Treatment is typically conservative,however when it is not successful surgical treatment is indicated, consisting on the snapping muscleor tendons lengthening. The authors review in this paper the current scientific literature about functionalanatomy, physiopathology, symptoms, diagnosis and treatment of snapping hip.

scholarly journals Availability and Use of Mobile Health Technology for Disease Diagnosis and Treatment Support by Health Workers in the Ashanti Region of Ghana: A Cross-Sectional Survey

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1233
Author(s):  
Ernest Osei ◽  
Kwasi Agyei ◽  
Boikhutso Tlou ◽  
Tivani P. Mashamba-Thompson
Keyword(s):  
Healthcare Professionals ◽  
Healthcare Delivery ◽  
Disease Diagnosis ◽  
Text Messages ◽  
Diagnosis And Treatment ◽  
Cross Sectional Survey ◽  
Mobile Wireless ◽  
Ashanti Region ◽  
Phone Calls ◽  
Treatment Support

Mobile health (mHealth) technologies have been identified as promising strategies for improving access to healthcare delivery and patient outcomes. However, the extent of availability and use of mHealth among healthcare professionals in Ghana is not known. The study’s main objective was to examine the availability and use of mHealth for disease diagnosis and treatment support by healthcare professionals in the Ashanti Region of Ghana. A cross-sectional survey was carried out among 285 healthcare professionals across 100 primary healthcare clinics in the Ashanti Region with an adopted survey tool. We obtained data on the participants’ background, available health infrastructure, healthcare workforce competency, ownership of a mobile wireless device, usefulness of mHealth, ease of use of mHealth, user satisfaction, and behavioural intention to use mHealth. Descriptive statistics were conducted to characterise healthcare professionals’ demographics and clinical features. Multivariate logistic regression analysis was performed to explore the influence of the demographic factors on the availability and use of mHealth for disease diagnosis and treatment support. STATA version 15 was used to complete all the statistical analyses. Out of the 285 healthcare professionals, 64.91% indicated that mHealth is available to them, while 35.08% have no access to mHealth. Of the 185 healthcare professionals who have access to mHealth, 98.4% are currently using mHealth to support healthcare delivery. Logistic regression model analysis significantly (p < 0.05) identified that factors such as the availability of mobile wireless devices, phone calls, text messages, and mobile apps are associated with HIV, TB, medication adherence, clinic appointments, and others. There is a significant association between the availability of mobile wireless devices, text messages, phone calls, mobile apps, and their use for disease diagnosis and treatment compliance from the chi-square test analysis. The findings demonstrate a low level of mHealth use for disease diagnosis and treatment support by healthcare professionals at rural clinics. We encourage policymakers to promote the implementation of mHealth in rural clinics.

scholarly journals Prediction of arch perimeter based on arch width as a guide for diagnosis and treatment planning

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Omnia A. Elhiny ◽  
Mohammed Abou Elyazied ◽  
Ghada A. Salem
Keyword(s):  
Statistical Analysis ◽  
Treatment Planning ◽  
Diagnosis And Treatment ◽  
Regression Equations ◽  
Old Patients ◽  
Arch Width ◽  
Egyptian Population ◽  
Secular Variations ◽  
Normal Occlusion ◽  
Lower Arch

Abstract Background The choice between extraction and expansion treatment is an endless debate in orthodontics. Ethnic and secular variations showed that there was a change in  arch perimeter over the last 50 years. Accordingly, the purpose of this study was to investigate the relation between the arch perimeter and the intercanine and intermolar widths in normal occlusion. Also, to design regression equations for the prediction of the arch perimeter based on arch width, in a sample of the Egyptian population. The images of 340 cast pairs for 11 to 13-year-old patients were traced using TracerNet. Intercanine width, intermolar width and arch perimeter were measured, statistical analysis was performed and regression equations for both arches were formulated. Results There was a positive correlation between the lower arch AP, ICW and IMW and between the upper arch AP and ICW. Lower arch perimeter = 0.536 I33 + 71.642, lower arch perimeter = 0.828 l66 + 58.604 and upper arch perimeter = 1.988 U33 + 30.492 were the significant derived equations. Conclusions The formulation of regression equations offers a tool for the prediction of arch perimeter or arch width that can act as a guide in diagnosis and treatment planning.

Modelling, visualization, and interaction techniques for diagnosis and treatment planning in cardiology

2000 ◽  
Vol 24 (5) ◽  
pp. 741-753 ◽  
Author(s):  
Johannes Behr ◽  
Soo-Mi Choi ◽  
Stefan Großkopf ◽  
Helen Hong ◽  
Sang-Ah Nam ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Diagnosis And Treatment ◽  
Interaction Techniques
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