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HOSA Biomedical Debate 23-24 Machines Exam Questions and Answers
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HOSA Biomedical Debate 23-24 Machines Exam Questions and Answers
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HOSA Biomedical Debate 23-24Machines Exam Questions and Answers
MYCIN (1970) - Answer -- Helps with diagnosing bacterial infections by analyzing
patient symptoms and providing treatment recommendations
- Limitations: lack flexibility and inability to adapt to new info
Neural Networks (1980's-1990's) - Answer -- Uses interconnected nodes to analyze
data and identify patterns
-Quick medical reference: Patient data to predict possibilities of medical conditions
-Limitations: availability and quality of data , often incomplete or inaccurate
Support Vector Machines - Answer -- Classification and regression analysis
- Diagnosis of breast cancer, detection of Alzheimer's disease, prediction of patient
outcomes.
Deep Learning (DL) - Answer -- Uses artificial neural networks to analyze large datasets
and identify complex patterns in data and make accurate predictions
- For medical imaging, drug discovery, and personalized medicine
Medical Imaging - Answer -- Diagnosis and treatment of many medical conditions
- Can improve accuracy and efficiency of medical imaging by automating image
analysis and providing more accurate diagnoses
- Can analyze large data sets of medical records and genetic data to get effective and
personalized treatments.
- AI potential: Drug discovery (AI identifies drug candidates faster and accurately than
traditional method)
- Advances: able to identify subtle patterns and features that humans miss
- Limitations: ability of radiologists to interpret complex images
Rule Based System - Answer -- Operates on predefined rules and decision-making
algorithms to analyze data & generate recommendations/decisions
- Can be utilized to analyze electrocardiography (ECG) data for diagnosing heart
disease
- Advantages: transparency and interoperability, adaptable and can be easily updated
with new knowledge
- Limitations: Heavily rely on accuracy and completeness of predefined rules, Struggle
to handle uncertainty or ambiguity
Robotic Process Automation - Answer -- Automates rules based tasks by mimicking
human interactions with computer systems and applications
, - Perform tasks that require little to no cognitive decision making
- Used to automate the process of verifying patient insurance eligibility
- Programmed to extract patient data from health records, interact w/ insurance portals,
and perform verification steps
- Advantages: Can work with existing It infrastructure w/o needing extensive change or
integrations, can work 24/7 without interruptions, and can interact with apps and
systems through same user interfaces as humans
- Limitations: not good for tasks with complex decision making, unstructured data, or
needing high level cognitive abilities
Machine Learning (ML) - Answer -- Uses training algorithms on large datasets to identify
patterns and make predictions
- Used for diagnostic imaging, drug discovery, and personalized treatment
recommendations
Natural Language Processing - Answer -- Analyze electronic health records, patient
notes, other text based data to identify potential trends and patterns
Robotics - Answer -- Surgical robots use advanced sensors and imaging systems to
provide surgeons with real time feedback during procedures
- Patient monitoring and rehabilitation
Expert Systems - Answer -Replicate decision making capabilities of human experts
Generative AI - Answer -- Generate content (images, text, scenarios) based on patterns
and examples from existing data
- Generative Adversarial Networks (GANs) trained on large dataset of medical images
to learn the patterns and generate images.
- Generate synthetic patient profiles that preserve statistical characteristics and patterns
of real world data
Convolutional Neural Networks (CNN) - Answer -- DL Algorithm
Consist of layers of interconnected neurons trained to identify patterns and features in
images
- Used for tasks such as image segmentation, best detection, classification.
Recurrent Neural Networks (RNN) - Answer -- DL Algorithm
- Used for sequential data analysis (Time series or signal data)
- Used for image reconstruction and analysis of med signals (Electrocardiographs)
Support Vector Machines (SVM) - Answer -- ML Algorithm
- Distinguishing between different types of medical conditions based on imaging data
- Identifies boundary that separates different classes of data in high dimensional space
Decision Trees - Answer -- ML Algorithm
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