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DTSTAMP:20261008T193337Z
DTSTART:20181223T183000Z
DTEND:20181229T182959Z
SUMMARY:DHR-ICMR Sponsored Workshop on Artificial Intelligence in Medical a
 nd Healthcare Applications 2018
LOCATION:Kongu Engineering College\, Erode
DESCRIPTION:<p>OBJECTIVE<br />\nArtificial intelligence (AI) aims to mimic 
 human cognitive functions. It is bringing a paradigm shift to healthcare\,
  powered by increasing availability of healthcare data and rapid progress 
 of analytics techniques. In this workshop we covers the current status of 
 AI applications in healthcare and discuss its future. AI can be applied to
  various types of healthcare data (structured and unstructured). Popular A
 I techniques include machine learning methods for structured data\, such a
 s the classical support vector machine and neural network\, and the modern
  deep learning\, as well as natural language processing for unstructured d
 ata. Major disease areas that use AI tools include cancer\, neurology and 
 cardiology. We then discuss in more details the AI applications in stroke\
 , in the three major areas of early detection and diagnosis\, treatment\, 
 as well as outcome prediction and prognosis evaluation. We conclude with d
 iscussion about pioneer AI systems\, such as IBM Watson\, and hurdles for 
 real-life deployment of AI.<br />\nThe Workshop intends to provide a forum
  for researchers\, enterprises and developers to share and discuss advance
 s in the field of Artificial Intelligence applied to medicine and health c
 are. The workshop covers theoretical and practical aspects as well as tech
 nologies and systems.<br />\nCOURSE CONTENTS:<br />\nArtificial Intelligen
 ce Techniques in Medical and Health Sciences<br />\nKnowledge Management o
 f Health Data<br />\nData Mining and Knowledge Discovery in Healthcare<br 
 />\nMachine and Deep learning approaches for Health Data<br />\nNatural La
 nguage Processing (NLP) methods<br />\nMedical decision support systems (M
 DSS)<br />\nDecision Support Systems for Healthcare and wellbeing<br />\nO
 ptimization for healthcare problems<br />\nRegression and forecasting for 
 medical and/or biomedical signals<br />\nAgent Oriented Techniques in Medi
 cine<br />\nHealth Care\, Clinical &amp\; Wellness Information Systems<br 
 />\nMedical Signal and Image Processing and Techniques<br />\nBiomedical C
 omputer Vision\, Imaging\, and Signal Interpretation<br />\nMedical Expert
  Systems<br />\nDiagnoses and Therapy Support Systems<br />\nMedical Infor
 matics and Biomedical Applications<br />\nApplications of AI in Health Car
 e\, Surgery and Wellbeing Systems<br />\nMedical Data- and Knowledge Bases
 <br />\nNeural Networks\, Fuzzy logic in Medicine<br />\nSupport vector ma
 chine\, Genetic algorithm\, Hybrid systems<br />\nImpact of Big Data on He
 althcare<br />\nProtocols and Guidelines\, Information Retrieval<br />\nMe
 dical device technologies: Brain-computer interfaces<br />\nBiometrics\, C
 ognitive Science\, Medical Imaging<br />\nPattern Recognition in Medicine\
 , Ontology and Medical Information<br />\nTelemedicine and Cooperative Sys
 tems<br />\nHealthcare Process Management<br />\nEvaluation of Health Info
 rmation Systems: Challenges and Approaches<br />\nAI Startups In Healthcar
 e<br />\nAmbient Intelligence and Pervasive Computing in Medicine and Heal
 th Care<br />\nSocial Aspects of AI in Medicine<br />\nArtificial Intellig
 ence: Future of Medicine and Healthcare</p>
URL:https://www.knowafest.com/dhr-icmr-sponsored-workshop-on-artificial-int
 elligence-in-medical-and-healthcare-applications-2018
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