Janak Gunatilleke emphasize for collecting and processing healthcare data?
A. Electronic health record (EHR) integration;
B. Natural language processing (NLP) techniques;
C. Wearable sensor data analysis;
D. Genomic sequencing. - correct answersA. Electronic health record (EHR) integration;
According to Janak Gunatilleke, how does federated learning address the challenge of data privacy in
collaborative AI model training?
A. By facilitating collaboration among healthcare institutions;
B. By improving the accuracy of AI models through decentralized training;
C. By reducing bias in AI algorithms using diverse data sources;
D. By enhancing scalability and efficiency of AI systems. - correct answersB. By improving the accuracy of
AI models through decentralized training.
Within the context of medical imaging, what benefits does Janak Gunatilleke attribute to AI-driven
image analysis?
A. Increased diagnostic accuracy and efficiency;
B. Early detection of abnormalities and diseases;
C. Standardization of image interpretation across providers;
D. Integration of imaging data with clinical decision support systems. - correct answersA. Increased
diagnostic accuracy and efficiency;
How does Janak Gunatilleke advocate for leveraging AI to advance personalized medicine?
A. By tailoring treatment plans based on individual patient characteristics;
B. By predicting disease risk and progression using genetic and clinical data;
, C. By optimizing drug dosages and treatment regimens through machine learning algorithms;
D. By enhancing patient engagement and adherence to treatment protocols. - correct answersC. By
optimizing drug dosages and treatment regimens through machine learning algorithms.
What strategies does Janak Gunatilleke recommend for ensuring responsible AI deployment in
healthcare?
A. Establishing regulatory frameworks for AI development;
B. Conducting rigorous testing and validation of AI algorithms;
C. Promoting interdisciplinary collaboration among researchers and healthcare professionals;
D. Fostering public engagement and education on AI benefits and risks. - correct answersD. Fostering
public engagement and education on AI benefits and risks.
According to Janak Gunatilleke, what are the potential obstacles to widespread adoption of AI-driven
precision medicine?
A. Limited access to high-quality healthcare data;
B. Regulatory constraints on the use of genetic and genomic information;
C. Ethical concerns regarding data privacy and consent;
D. Challenges in integrating AI tools into existing clinical workflows. - correct answersD. Challenges in
integrating AI tools into existing clinical workflows.
How does Janak Gunatilleke propose addressing algorithmic bias in AI applications for healthcare?
A. Implementing diversity and fairness-awareness measures;
B. Conducting regular audits for bias detection and mitigation;
C. Increasing diversity in data representation;
D. Enforcing regulatory standards for transparency. - correct answersA. Implementing diversity and
fairness-awareness measures.
What role does Janak Gunatilleke assign to AI in improving patient outcomes in telemedicine?