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ONC0253B Organ system 2. Respiratory system diseases
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Respiratory system diseases
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Academic year 2023/2024
- Course ID
- ONC0253B
- Teachers
- Paolo Bironzo (Lecturer)
Francesco Leo (Lecturer) - Year
- 1st year
- Teaching period
- First semester
- Type
- Basic
- Credits/Recognition
- 1
- Course disciplinary sector (SSD)
- MED/06 - medical oncology
- Delivery
- Formal authority
- Language
- English
- Attendance
- Obligatory
- Type of examination
- Oral
- Type of learning unit
- modulo
- Modular course
- General Medicine and Clinical Sciences (ONC0253)
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Sommario del corso
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Course objectives
- Acquire basic knowledge of high-prevalence respiratory diseases in terms of epidemiology, symptoms and diagnosis, treatments and outcomes
- Apply AI principles to diagnosis and follow-up of relevant clinical problems as pulmonary nodules or navigational bronchoscopy
- Integrate information from multiple data sources in order to evaluate outcomes
- Acquire information on robotics applied to pneumology
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Results of learning outcomes
Being able to interact and integrate in multidisciplinary teams with adequate competences for problem-solving
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Program
Pollution and smoke-related lung damage
Chronic obstructive pulmonary disease & asthma
Interstitial lung disease
Pleural effusion & Pneumothorax
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Course delivery
- Frontal lectures
- Exercises on problem solving
- Flipped class
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Learning assessment methods
The final assessment is an oral examination focusin on respiratory diseases and potential application of AI in respiratory medecine
Suggested readings and bibliography
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Khemasuwan D, Sorensen JS, Colt HG. Artificial intelligence in pulmonary médecine: computer vision, predictive model and Covid-19. Our Respire Rev 2020; 29: 200181, https://doi.org/10.1183/16000617.0181-2020
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