Online ISSN: 2515-8260

Keywords : Diagnosis


DIAGNOSTIC FEATURES OF CHOLEDOCHAL CYSTS IN CHILDREN

Erkin Yakubov; Nasriddin Ergashev

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 1955-1961

Abstract: The paper presents an analysis of the data of ultrasound, CT, MRCP and
intraoperative cholangiography in patients with bile duct cyst. Echographic data are
presented in 86 patients, CT in 61, MRCP in 8 and intraoperative cholangiography in 73
patients with this pathology. Ultrasound is a highly sensitive and informative screening
method for the diagnosis of choledochal cysts in children. To increase the specificity of
ultrasound with cysts of the common bile duct, a dynamic study of the contractility of the
biliary system after taking a "choleretic breakfast" is proposed. Currently, in the diagnosis
of pathology of the biliary tract, CT of the abdominal cavity and MRCP are effective noninvasive
methods, alternative to invasive ERCP. It has been established that the final
verification of the form of bile duct cysts, abnormal fusion of the pancreatic duct into the
cyst cavity is determined using MRCP and intraoperative cholangiography, which allows
you to choose the optimal method of surgical treatment.

Assessment of Patient Health Condition based on Speech Emotion Recognition (SER) using Deep Learning Algorithms

Dr. DNVSLS Indira; B. Lakshmi Hari Prasanna; Chunduri Pavani; Ganta Vandana

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1135-1147

Human Emotion detection either through face or speech became a relatively nascent research area. Speech Emotion Acknowledgment concerns the undertaking of perceiving a speaker's feelings from their discourse chronicles. Perceiving feelings from discourse can go far in deciding an individual's physical and mental condition of prosperity. These emotions can be used for further assessment of patient’s status for better diagnosis. This paper aims to categorize emotions in speech into four different categories which are happy, sad, angry and neutral. For this analysis, four different algorithms - the Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), Random Forest (RF) and Convolutional Neural Network (CNN-1D) are developed. Detection of Emotion through speech of an individual might be a bit hectic, because of the dynamic changes in voice signal of the same person within a very subtle period of time. So, features like mfcc, chroma, tomez contrast and mel were extracted and given to the model in order to detect the emotions. Those features were given as input to the algorithms and the empirical results implicate that Convolutional Neural Network-1D performs well comparatively. RAVDESS database is chosen for the categorization. A good recognition rate of 89% was obtained from CNN-1D.

ACUTE BACK PAIN: DIAGNOSIS AND TREATMENT

Bakhtiyar Gafurov; Zamira Babadjanova; Dilrabo Khalimova

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 2521-2525

Abstract: Back pain is a syndrome that can be associated with degenerative-dystrophic
changes in the spine, muscle damage and diseases, damage to the nervous system (the spinal
cord, its roots, and peripheral nerves), pathology of the internal organs of the thoracic and
abdominal cavities, pelvis, and mental disorders. The most common cause of acute back pain
is changes that occur when the muscles, ligaments, or joints of the spine are overloaded

COVID -19 VS HANTAVIRUS- A REVIEW

Obuli Ganesh Kishore. S; Jothi Priya. A,; Lakshminarayanan Arivarasu

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 2248-2254

There is a rapid surge in research in response to the outbreak of COVID-19 which has taken the lives of many people.A detailed structured review of the corona virus could bring about any development in the field of research concerning the discovery of vaccines it treatment methods for COVID-19.Another virus called the Hanta virus that had originated in China was another pandemic which was controlled in the initial stages itself. Different articles and research journals were selected, analysed and computed for better understanding. The collection and analysis of data was done in the year 2020. A review of the epidemiology,clinical features,diagnosis,symptoms and treatment of corona virus and Hantavirus could help in advancements in its field of research. Also the comparison of economical impacts in the world during the pandemic virus attack can also be helpful to be economically prepared to face the crisis and reduce the chaos. But certain limitations that come across in this review had to be rectified for a proper result.But this review can be used for any quick reference regarding these deadly viruses.

AWARENESS AND KNOWLEDGE ABOUT ARTIFICIAL INTELLIGENCE IN HEALTHCARE AMONG DOCTORS - A SURVEY

Samyuktha P S; Geetha R V; Jayalakshmi somasundaram

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 697-708

Artificial Intelligence is a progressive, rapidly developing field. It has the potential to ease diagnosis, treatment and care of patients. It is vital that medical professionals are aware about Artificial Intelligence and its scope in health care. Artificial Intelligence has the capability to ease diagnosis and care. The future of medicine is Artificial Intelligence based. A survey was carried to assess the awareness levels about Artificial Intelligence and its scopes in Healthcare. A questionnaire was circulated among medical and healthcare professionals. The total participation for the study was 100. The results were collected and tabulated to be analysed using SPSS windows version 20. There was an overall positive response from the participants. 92% believed that Artificial Intelligence is the future of medicine. Recent advancements have made it imperative that the healthcare workers be aware of Artificial intelligence and its scopes. Artificial Intelligence is reaching the medical field. It is a reality that a certain level of hyperbole seems to have taken over the discussion of Artificial Intelligence in healthcare. On one hand, healthcare industrialists and researchers highlight the need for high quality health data, on the other hand, physicians are still waiting for evidence of the usefulness of these tools and wonder who will be held responsible in case of an injury due to the tool, and the other ethical factors associated with it. It can be concluded that the participants had a moderate level of knowledge about Artificial Intelligence and its scopes, which can be improved.

VELSCOPE- A RECENT EXAMINATION TOOL IN DENTISTRY

Neha .; Dr. Jayalakshmi Somasundaram

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 359-366

Oral cancer is a global health disease that has a major impact on an individual's health, psychology and
lifestyle. It is the 6th most common cancer in the world and has a high prevalence worldwide, and is found
more in men than women. It is attributed to a myriad of causes which especially include tobacco smoking,
alcohol consumption and chewing betel quid. Survival rates of oral cancer are very poor despite advances
in therapeutic interventions. Detecting oral cancer at an early stage is believed to be the most effective
means of reducing death rates. Thus arises the need for an important diagnostic tool which is able to detect
pre-malignant and malignant lesions at an early stage. Treatment helps only for about 5 years after which
recurrences are seen. The only way to reduce recurrences is early diagnosis. VELscope, also known as
Visually-Enhanced Lesion scope, serves this purpose. It is an important diagnostic tool that uses an autofluorescence
based imaging system to detect lesions and allows enhanced visibility of the premalignant
and malignant lesions. It emits a harmless, non-invasive blue coloured LED fibre optic light that shines in
the patient’s mouth. The fluorescent light is absorbed by normal tissues whereas neoplastic lesions lose
fluorescence and become dark. This helps in quick and non-invasive diagnosis

Recent Advances Of Lab Testing Of COVID 19

Amirtha varshini; Leslie Rani. S; M.P. Brundha; Lakshminarayanan Arivarasu

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 3062-3069

A cluster of pneumonia cases infected with a completely unique coronavirus was reported in Wuhan, a city in Hubei province of China in December 2019. The acute respiratory illness is understood as coronavirus disease 2019 or COVID-19.3 The virus that caused this disease is designated severe acute respiratory syndrome coronavirus 2 or SARS-CoV-2. Workflows for COVID-19 laboratory diagnosis by screening and confirmation steps by molecular method have been designed and validated, with the utilization of synthetic nucleic acid technology. Diagnosis of COVID-19 depends on a mixture of epidemiological criteria, presence of clinical symptoms additionally as laboratory testing and clinical imaging based tests. COVID-19 includes analysing examples that demonstrate the present or past nearness of SARS-CoV-2. Tests for viral presence are utilized to analyze current ailment and to permit public health specialists to distinguish and contain flare-ups as fast as could reasonably be expected.The test can be done on samples obtained by various methods, including a nasopharyngeal swab , throat swabs, deep airway material via suction catheter or saliva. As evidenced by previous epidemics, including SARS and MERS, exceptionally delicate and explicit lab diagnostics are basic for case distinguishing proof, contact following, creature source finding, and productive and sane regulation measures. This study reviews the recent advances within the lab testing of covid 19

Velscope- A Recent Examination Tool In Dentistry.

Neha .; Dr. Jayalakshmi Somasundaram

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 2475-2483

Oral cancer is a global health disease that has a major impact on an individual''s health, psychology and lifestyle. It is the 6th most common cancer in the world and has a high prevalence worldwide, and is found more in men than women. It is attributed to a myriad of causes which especially include tobacco smoking, alcohol consumption and chewing betel quid. Survival rates of oral cancer are very poor despite advances in therapeutic interventions. Detecting oral cancer at an early stage is believed to be the most effective means of reducing death rates. Thus arises the need for an important diagnostic tool which is able to detect pre-malignant and malignant lesions at an early stage. Treatment helps only for about 5 years after which recurrences are seen. The only way to reduce recurrences is early diagnosis. VELscope, also known as Visually-Enhanced Lesion scope, serves this purpose. It is an important diagnostic tool that uses an auto- fluorescence based imaging system to detect lesions and allows enhanced visibility of the premalignant and malignant lesions. It emits a harmless, non-invasive blue coloured LED fibre optic light that shines in the patient’s mouth. The fluorescent light is absorbed by normal tissues whereas neoplastic lesions lose fluorescence and become dark. This helps in quick and non-invasive diagnosis.