ARTIFICIAL INTELLIGENCE AND ITS STARRING ROLE IN DENTISTRY: A PERSPECTIVE QUESTIONNAIRE STUDY WITH REVIEW OF LITERATURE.

2021 ◽  
pp. 44-47
Author(s):  
V. Shakuntala Soujanya. V ◽  
N.Abhishek Reddy ◽  
K. Kranthi ◽  
Vinuthna Vinuthna ◽  
Prabhakar Rao
Keyword(s):  
Artificial Intelligence ◽  
Oral Cancer ◽  
Multidisciplinary Approach ◽  
Geriatric Patients ◽  
Special Care ◽  
Questionnaire Study ◽  
Review Of Literature ◽  
Advanced Technologies ◽  
Severe Infections ◽  
Dental Diseases

As there is increased preponderance and prevalence of varied diseases affecting huge population including dental diseases like severe infections secondary to pulpal and periodontal pathologies, Maxillary pathologies, Oral cancer, Osteoporosis, esthetical issues like Malocclusion, etc. which in turn should be given special care when it comes to geriatric patients and people suffering with various comorbidities where sometimes it demands for advanced technologies especially in terms of multidisciplinary approach, Articial intelligence has become a boon to dentistry making their work more simpler and accurate. This article is one of its own kind of rare questionnaire study which focus on knowing knowledge, awareness and perception of dentists of northern telangana population regarding Articial intelligence.

scholarly journals How will artificial intelligence and bioinformatics change our understanding of IgA in the next decade?

2021 ◽  
Author(s):  
Roman David Bülow ◽  
Daniel Dimitrov ◽  
Peter Boor ◽  
Julio Saez-Rodriguez
Keyword(s):  
Artificial Intelligence ◽  
Multidisciplinary Approach ◽  
Immunoglobulin A ◽  
Improve Patient Care ◽  
Integrated Analysis ◽  
Clinical Expertise ◽  
End Stage ◽  
The Complement System ◽  
Improve Patient ◽  
Generation Sequencing

AbstractIgA nephropathy (IgAN) is the most common glomerulonephritis. It is characterized by the deposition of immune complexes containing immunoglobulin A (IgA) in the kidney’s glomeruli, triggering an inflammatory process. In many patients, the disease has a progressive course, eventually leading to end-stage kidney disease. The current understanding of IgAN’s pathophysiology is incomplete, with the involvement of several potential players, including the mucosal immune system, the complement system, and the microbiome. Dissecting this complex pathophysiology requires an integrated analysis across molecular, cellular, and organ scales. Such data can be obtained by employing emerging technologies, including single-cell sequencing, next-generation sequencing, proteomics, and complex imaging approaches. These techniques generate complex “big data,” requiring advanced computational methods for their analyses and interpretation. Here, we introduce such methods, focusing on the broad areas of bioinformatics and artificial intelligence and discuss how they can advance our understanding of IgAN and ultimately improve patient care. The close integration of advanced experimental and computational technologies with medical and clinical expertise is essential to improve our understanding of human diseases. We argue that IgAN is a paradigmatic disease to demonstrate the value of such a multidisciplinary approach.

Diagnosis and Management of Suspected Pediatric Autoimmune Encephalitis: A Comprehensive, Multidisciplinary Approach and Review of Literature

2021 ◽  
pp. 088307382110646
Author(s):  
Melissa A. Wright ◽  
Cristina C. Trandafir ◽  
Gary R. Nelson ◽  
Aimee O. Hersh ◽  
C. J. Inman ◽  
...  
Keyword(s):  
Iterative Process ◽  
Multidisciplinary Approach ◽  
Pediatric Patients ◽  
Treatment Initiation ◽  
Young Patients ◽  
Autoimmune Encephalitis ◽  
Comprehensive Approach ◽  
Review Of Literature ◽  
Duration Of Treatment ◽  
Diagnosis And Management

Autoimmune encephalitis is an increasingly recognized entity in children. When treated promptly, favorable outcomes are seen in a majority of pediatric patients. However, recognition of autoimmune encephalitis in young patients is challenging. Once autoimmune encephalitis is suspected, additional difficulties exist regarding timing of treatment initiation and duration of treatment, as evidence to guide management of these patients is emerging. Here, we review available literature regarding pediatric autoimmune encephalitis and present our institution's comprehensive approach to the evaluation and management of the disease. These guidelines were developed through an iterative process involving both pediatric neurologists and rheumatologists.

Artificial Intelligence in Human Resource Practices With Challenges and Future Directions

2022 ◽  
pp. 222-230
Author(s):  
Himani Saini ◽  
Preeti Tarkar
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Human Resources ◽  
Human Resource Management ◽  
Human Resource ◽  
Science And Technology ◽  
Future Directions ◽  
Smart System ◽  
Advanced Technologies ◽  
The Future

Artificial intelligence is a branch of science and technology that has been used effectively over the decades in various fields, and now it has become an indispensable part of organizational practices as it is one of the leading technologies in the current era, and now there is an emerging trend of applying AI technologies within the businesses. The central necessity of human resource management is also majorly based on technological approaches as it became a potential need for any human resources department to perform its role in the development of the whole organization. Technologies based on AI are and will be the smart system of the future and it's also changing the processes of human resource management by making it more dependent on advanced technologies. Through the chapter, the researcher will get to know the artificial technologies being practiced in HR practices and explore the probable and potential of technicality of AI in HRM and also the challenges associated with AI in HRM and its future possibilities.

Relevance of Artificial Intelligence in Modern Healthcare

2022 ◽  
pp. 67-88
Author(s):  
Dhanabalan Thangam ◽  
Anil B. Malali ◽  
Gopalakrishanan Subramaniyan ◽  
Sudha Mariappan ◽  
Sumathy Mohan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Infection Rate ◽  
Human Intelligence ◽  
Virus Spread ◽  
Advanced Technologies ◽  
The People

Artificial intelligence (AI) and machine learning (ML) are playing a major role in addressing and understanding better the COVID-19 crisis in recent days. These technologies are simulating human intelligence into the machines and consume large amounts of data for identifying and understanding the patterns and insights quickly than a human and preparing us with new kinds of technologies for preventing and fighting with COVID-19 and other pandemics. It helps a lot to notice the people who got infected by the virus and to forecast the infection rate in the upcoming days with the earlier data. Healthcare and medical sectors are in requirement of advanced technologies for taking accurate decision to manage this virus spread. AI-enabled technologies are working in a talented way to do things intelligently like human intelligence. Thus, the AI-enabled technologies are employed for attaining accurate health results by examining, forecasting, and checking present infected and possibly future cases.

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