Graduate Diploma in Artificial Intelligence and Big Data in Health

Introduction

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We are experiencing a revolution so profound that the invention of the steam engine, train, electricity, or mass production may possibly exceed the magnitude of the changes that
Drink. This fourth Industrial Age gravitates around Artificial Intelligence (AI), robotics and Big data, they preconceive a profound revolution that is already visible in the way we live and work, perhaps even in the way we see ourselves as Human.

This revolution will also affect medicine. The same medicine is in a certain way in a moment of crisis. As a profession, despite extraordinary advances in the art and science of medicine in the past four decades, this lack in patients' diagnoses or does unnecessary tests and treatments that drive up the costs of medicine. This revolution can go a long way in addressing these problems.


The potential of using large amounts of data is fantastic. Through the ability to extract knowledge and learn from this data when combined with artificial intelligence and deep learning methods, we can achieve high accuracy in diagnosis and prognosis. With the help of these technologies, clinics could focus more on patient care, which is perhaps one of the main problems in medicine today.

Therefore, healthcare is a sector that would greatly benefit from AI. AI will save billions of euros in improving the prevention, diagnosis and treatment of problems such as childhood obesity, cardiovascular diseases and their sequelae, neurodegenerative diseases and breast cancer, among other areas. It will also allow the development of new medicines and the promotion of personalized and home medicine or improve the quality of life of the elderly.

Personalized medicine has created a new paradigm where few are adequately trained. So, the professionals involved in the healthcare environment need to know it in the first place to tackle a very important change in the way medicine is done. Secondly, the specific knowledge that will allow them to tackle the generation and development of knowledge related to the technologies involved in this new paradigm. Finally, we need the ability to create multidisciplinary teams that allow us to face the new challenges posed by this personalized medicine.

In this context, an AI is necessary to explain to medical professionals the reason for their decisions, improving the methods of human-computer interaction. Doctors now rely on their experience in making the diagnosis more likely. Automatic assistance, capable of performing these probability calculations in an informative manner and with real-time access to the necessary data from the scientific literature, would allow for greater productivity for healthcare professionals. Training for the existence of a new generation of more technological doctors capable of helping in the design of these cognitive assistants is one of the challenges in this regard.

The so-called "P4 Medicine" (Predictive, personalized, preventive and participatory),
Founded on emerging technologies such as AI and analysis of large amounts of data based on machine learning and computer vision. Thus, data science will be routinely applied to structured and unstructured information, from electronic health records, -omics (genomics, proteomics, transcriptomics, etc.) and tools of medical magicians.

Thus, these postgraduate Diplomas are aimed at clinics interested in conducting research with data that have access to their work, medical records and other data collected in the services in which they work. These professionals are generally used to doing research using statistical techniques and now want to go one step further and see what AI computational techniques can do and how big data can be treated. In addition, the ethical implications of conducting research are of greater importance in this area of ​​health, which is why students will acquire the basic ideas about privacy, ethics and legality. Proposed project that can be validated by the ethics comm

Contact

Jose Antonio Ibeas Lopez

E-mail: jibeas@tauli.cat/ efreixa@tauli.cat

Web: www.tauli.cat/ias

UAB Graduate Diploma

1 Edition
Places: 15
Orientation: Professional
30 ECTS
Code: 4305/1
Price: 2850 ¤

See price details

Modality: Blended
Dates: from 28/09/2020 to 27/06/2021
Teaching language:
Spanish (100%)
Coordinating centres:
Departamento de Telecomunicación e Ingeniería de Sistemas
Instituto Universitario Fundación Parc Taulí

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