Twenty19

Login or Create Your Twenty19 Account


New to Twenty19? No Worries. Register for free!

AIMA 2018

Event Description

OBJECTIVE Artificial 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 AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. 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 discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI. The Workshop intends to provide a forum for researchers, enterprises and developers to share and discuss advances in the field of Artificial Intelligence applied to medicine and health care. The workshop covers theoretical and practical aspects as well as technologies and systems. COURSE CONTENTS: Artificial Intelligence Techniques in Medical and Health Sciences Knowledge Management of Health Data Data Mining and Knowledge Discovery in Healthcare Machine and Deep learning approaches for Health Data Natural Language Processing (NLP) methods Medical decision support systems (MDSS) Decision Support Systems for Healthcare and wellbeing Optimization for healthcare problems Regression and forecasting for medical and/or biomedical signals Agent Oriented Techniques in Medicine Health Care, Clinical & Wellness Information Systems Medical Signal and Image Processing and Techniques Biomedical Computer Vision, Imaging, and Signal Interpretation Medical Expert Systems Diagnoses and Therapy Support Systems Medical Informatics and Biomedical Applications Applications of AI in Health Care, Surgery and Wellbeing Systems Medical Data- and Knowledge Bases Neural Networks, Fuzzy logic in Medicine Support vector machine, Genetic algorithm, Hybrid systems Impact of Big Data on Healthcare Protocols and Guidelines, Information Retrieval Medical device technologies: Brain-computer interfaces Biometrics, Cognitive Science, Medical Imaging Pattern Recognition in Medicine, Ontology and Medical Information Telemedicine and Cooperative Systems Healthcare Process Management Evaluation of Health Information Systems: Challenges and Approaches AI Startups In Healthcare Ambient Intelligence and Pervasive Computing in Medicine and Health Care Social Aspects of AI in Medicine Artificial Intelligence: Future of Medicine and Healthcare

Event Details/Highlights

OBJECTIVE

Artificial 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 AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. 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 discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI.

The Workshop intends to provide a forum for researchers, enterprises and developers to share and discuss advances in the field of Artificial Intelligence applied to medicine and health care. The workshop covers theoretical and practical aspects as well as technologies and systems.

COURSE CONTENTS:

Artificial Intelligence Techniques in Medical and Health Sciences

Knowledge Management of Health Data

Data Mining and Knowledge Discovery in Healthcare

Machine and Deep learning approaches for Health Data

Natural Language Processing (NLP) methods

Medical decision support systems (MDSS)

Decision Support Systems for Healthcare and wellbeing

Optimization for healthcare problems

Regression and forecasting for medical and/or biomedical signals

Agent Oriented Techniques in Medicine

Health Care, Clinical & Wellness Information Systems

Medical Signal and Image Processing and Techniques

Biomedical Computer Vision, Imaging, and Signal Interpretation

Medical Expert Systems

Diagnoses and Therapy Support Systems

Medical Informatics and Biomedical Applications

Applications of AI in Health Care, Surgery  and Wellbeing Systems

Medical Data- and Knowledge Bases

Neural Networks, Fuzzy logic in Medicine

Support vector machine, Genetic algorithm,  Hybrid systems

Impact of Big Data on Healthcare

Protocols and Guidelines, Information Retrieval

Medical device technologies: Brain-computer interfaces

Biometrics, Cognitive Science, Medical Imaging

Pattern Recognition in Medicine, Ontology and Medical Information

Telemedicine and Cooperative Systems

Healthcare Process Management

Evaluation of Health Information Systems: Challenges and Approaches

AI Startups In Healthcare

Ambient Intelligence and Pervasive Computing in Medicine and Health Care

Social Aspects of AI in Medicine

Artificial Intelligence: Future of Medicine and Healthcare

Accomodation Details

BOARDING AND LODGING
Accommodation and boarding if required will be provided in the college campus on chargeable basis to the participants.

Registration Details

REGISTRATION FEE DETAILS
Registration Fee: Rs.1000/- per Participant.
• The Course fee includes Course Kit&Materials;, Certificate, lunch and refreshment for 6 days to the participants.
• Boarding and Lodging will be provided to all the selected participants in the college campus.
• Registration for the course can be made by sending the duly filled registration form along with a DD for Rs.1000/- in favour of “Kongu Engineering College Grants” Payable at Perundurai, or at Erode to the Organising Secretary. Registration is limited to 50 participants and selected on first-come-first serve basis.
HOW TO APPLY
The applicants should send the filled application and DD to us on or before 17.12.2018.
IMPORTANT DATES:
Last Date for receipt of Applications : 17.12.2018
Intimation of Participants : 18.12.2018
Confirmation of Participants : 19.12.2018

Live Event Feed

Live Trainings Feed

Live Internship Feed

Send me amazing internships by email

Confirmation email has been sent to your email address. Please click on "Confirm to get Internship alerts" button in the email.
Please provide a valid email address.
There were some issues. Please try again later.

Close