Exam (elaborations)
HOSA Biomedical Debate 23-24 Exam Questions and Answers
- Course
- Institution
HOSA Biomedical Debate 23-24 Exam Questions and Answers
[Show more]
Content preview
HOSA Biomedical Debate 23-24 ExamQuestions and Answers
First Development of AI in healthcare - Answer -1950s- rule based AI based on
premade stuff
Neural networks - Answer -type of machine learning that uses interconnected nodes to
analyze data and ID patterns, ex) QMR, quick medical reference system in the late
1980s
support vector machines - Answer -a type of machine learning algorithm that can be
used for classification and regression analysis ex) diagnosis of breast cancer and
detection of alzheimers and shit
deep learning - Answer -A type of machine learning that uses artificial neural networks
to analyze large datasets- can ID complex patterns and predict with high accuracy
medical imaging - Answer -limited by ability of radiologists to interpret complesx images.
AI can improve
Lack of Standardized data - Answer -many healthcare systems use different data
formats so they cannot be shared thru AI to analyize large datasets
rule based systems use - Answer -diagnosing heart disease by analyzing
electrocardigram data- rules can define the patterns and abnormalities in the ECG
signals
rule based system advantage - Answer -transparent and easily updated and modified to
adapt
rule based system limitations - Answer -heavily rely on the accuracy and completeness
of the rules, so if there are any weird shit in the rule, they will give incorrect info- cannot
handle ambiguity, so cannot work in complex situations
robotic process automation - Answer -automates repetitive rule based tasks- only the
super tedious shit- used to streamline administrutive tasks
rpa limitations - Answer -any changes in underlying systems or interfaces may require
updates to the rpa workflows which can introduce additional maintenance overhead
, machine learning - Answer -training algorithms on large datasets to ID patterns and
make predictions. can be used for more shit
machine learning uses - Answer -computer aided diagnosis for interpreting medical
images like xrays and mris and also can be used in drug discovery by analyzing large
datasets of biological and chemical info to ID potential drug targets and predict the
likelihood of success for specific drug candidates
Natural Language Processing (NLP) uses - Answer -analysis of clinical notes to ID
potential adverse event or side effects associated with specific treatments- can ID
potential safety issues- can help with accuracy of coding and billing (FRAUD YAY)
robotic systems - Answer -robots used for surgical procedures and patient monitoring
and rehab and shit
expert system - Answer -replicate decision making capabilities of human experts
expert system uses - Answer -cilinical decision support systes to provide healthcare
providers with real time recs and alerts based on patient data
generative AI- like chatgpt- uses - Answer -make new images to get bigger dataset,
discovering new drugs
advantages - Answer -- improved diagnosis and treatment
- increased efficiency
- personalized medicine (treatment plans n shit)
- cost savings
disadvantages - Answer -- bias
- lack of human interaction
- legal and ethical concerns
- not always transparent
- implementation challenges (healthcare systems are different from each other)
- ethical concerns
steps of AI in drug r&d - Answer -1. target ID- analyze large amounts of data
2. lead discovery- ID potential drugs that can interact w target
3. lead optimization- improve the drug- AI can predict effectiveness of this shit
4. preclinical testing- AI can predict how things will turn out, making process better
5. clinical testing- AI can improve the design of the trials thru predictions
6. regulatory approval- again predicting
drug r&d companies - Answer -atomwise, insilico medicine, benevolentAI
cost savings - Answer -CDSS- unnecessary tests n shit
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller millyphilip. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $11.49. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
79373 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy study notes for 14 years now