Information Technologies and Artificial Intelligence

The curricular unit comprises:
– 2 theoretical-practical classes (2 hours/week), where the teacher briefly exposes the programmatic contents of the discipline with practical examples of application of the various technologies in the context of the Audiology professional, bringing to contact with the students experts in several areas of interconnection between AI and audio signal processing; Up to a limit of 25% classes can be taught on-line.
The continuous evaluation scheme is optional and consists of:
1) Written work focused on a bibliographic review about an emerging topic in IT (TE).
2) two written evaluation tests (PE1 + PE2) to be scheduled in the first week of classes (theoretical-practical matrix).
The final score is given by the average of the classifications obtained at all evaluation moments, i.e.: Final Score = (A + PE1 + PE2)/3, in which ET represents the classification obtained in the written work, and PE1 and PE2 the evaluation obtained in the written evaluation tests

To provide students with a broad view of the impact of information and communication technologies, in particular artificial intelligence, in the health area, with emphasis on the multiple applications of these emerging technologies in audiology.
The completion of this curricular unit will allow students to:
– Know the protocols for the implementation of a patient-centered telessaúde tool for a variety of configurations.
– Identify mobile technologies and solutions used in teleaudiology and describe the basic processes for its effective clinical implementation.
– Describe how teleaudiology can be used in the diagnosis and diagnosis of hearing loss.
– Understand the link between artificial intelligence and machine learning.
– Know the main technologies of voice recognition and the way big data and machine learning compete for its evolution.
– Know and describe basic processes of applications of artificial intelligence and machine learning in hearing aids.

1. Teleaudiology
– Telehealth: remote monitoring and diagnostic tools – protocols and applicable standards.
– Teleaudiology: monitoring and diagnosis in audiology. Adjustment of hearing aids online. Mobile applications for
users of hearing aids and cochlear implants.
– Assistive device technology for people with hearing impairment, voice, speech or language disorders.
2. Artificial intelligence
– Introduction to artificial intelligence, machine learning and deep learning.
– Turing Machines and Computers
– Machine learning: algorithms and decision trees
– Artificial neural nets and perceptrons
– Machine learning algorithms applied to audio signal processing
– Machine learning in the context of audiology
3. Advanced Topics of Information Technology in Audiology
– Spatialization, Virtual and Augmented Reality
– Internet of things and cybersecurity
– 3D printing

NAO