ISLA Santarém 26697

Advanced Health Technologies

• ApresentaçãoPresentation

    
• ProgramaProgramme

  1. Genomics and Personalized Medicine. 2. Virtual and Augmented Reality in Healthcare. 3. Internet of Things (IoT) and Connected Medical Devices. 4. Artificial Intelligence in Clinical Diagnosis. 5. Smart and Wearable Medical Devices (Wearables). 6. Robotics Applied to Surgery and Medical Assistance. 7. 3D Printing in Healthcare. 8. Mobile Health (mHealth) and Biometric Monitoring Applications. 9. Practical cases.
• ObjectivosObjectives

  O1. Present the concepts and technologies related to genomics and personalized medicine.  O2. Understand the importance and application of augmented reality in healthcare. O3. Characterize the internet of things in health activities. O4. Analyse the characteristics and functioning of smart and wearable devices.  O5. Introduce robotics applied to healthcare. Competences: C1. Discuss and evaluate the potential of mHealth applications.  C2. Use advanced health technologies. C3. Apply AI to support clinical diagnosis.  
• BibliografiaBibliography

  Deepak Gupta, Moolchand Sharma, Vikas Chaudhary, Ashish Khanna (ed.) (2023). Robotic Technologies in Biomedical and Healthcare Engineering. CRC Press Douville, S. (2023). Advanced Health Technology. Productivity Press. Jamil Y. Khan, Mehmet R. Yuce (ed) (2019). Internet of Things (IoT): Systems and Applications. Jenny Stanford Publishing  Ralf Doerner, Wolfgang Broll, Paul Grimm, Bernhard Jung (ed.) (2022). Virtual and Augmented Reality (VR/AR). Springer LINK  Silva, F. (2023]. Impressão 3D Tecnologias, materiais e aplicações. Engebook Utku Kose, Nilgun Sengoz, Xi Chen, Jose Antonio Marmolejo Saucedo (ed.) (2024). Explainable Artificial Intelligence (XAI) in healthcare. CRC Press
• MetodologiaMethodology

  Synchronous distance learning: 1. Expository method: presentation of each of the content topics, followed by demonstrative and interrogative methods to consolidate the knowledge acquired by students. Face to face: 2. Practical application through exercises and work aimed at consolidating knowledge. Autonomous: 3. Guided research and case studies proposed by the teacher. The teacher gives feedback on the laboratory practice and the development of the problem addressed in the laboratory practice (Tutorial Guidance - OT) in person in the classroom context and/or through the teaching/learning support platform Moodle.
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  5
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  Avaliação Curricular (contínua):
  - A1. Exercícios práticos em contexto de sala de aula (individual).
  - A2. Trabalho prático incluindo a apresentação (em grupo).
  A classificação final é calculada através da fórmula Classificação Final = A1*0,30+A2*0,70. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
  Avaliação Final (A): O estudante realiza o exame teórico-prático (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
  Avaliação em Época de Recurso e Época Especial (A): O estudante realiza o exame teórico-prático (A=100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.