BAS 112 Medical & Health Lecture 10

Questions and Answers

What is the primary purpose of mobile health applications?

To reduce patient interaction with healthcare providers

To collect data on symptoms and track the spread of infections (correct)

To monitor patients only after they show symptoms

To eliminate the need for traditional medical records

How does personalized medicine utilize AI?

By determining a patient's genetic profile to tailor medical interventions (correct)

By focusing solely on surgical options for treatment

By creating generic treatment plans for all patients

By solely depending on historical data for diagnosis

What role does preventive medicine play in healthcare?

It relies on patient self-reporting for symptom management

It focuses on post-disease interventions and rehabilitation

It only treats existing conditions without preventive measures

It aims to prevent diseases through early detection and risk factor identification (correct)

What does the effectiveness of preventive medicine depend on?

The knowledge of disease causes and early detection methods Signup and view all the answers

Why is AI significant in enhancing patient care?

It improves diagnostic accuracy and optimizes treatment through data analysis Signup and view all the answers

What is a primary focus of standardization in AI systems used in healthcare?

Developing methods to measure and reduce bias Signup and view all the answers

Which of the following is NOT a requirement for trusting AI systems in healthcare?

The system provides difficult explanations Signup and view all the answers

In predictive medicine, what is the aim regarding patients?

Identify patients at risk for early intervention Signup and view all the answers

What role does AI play in participatory medicine?

Empowering patients to monitor their own health Signup and view all the answers

Which of the following is an ethical concern related to AI in healthcare?

Data privacy and safety Signup and view all the answers

What is one application of AI in assessing medication effects?

Predicting patients who will suffer adverse effects from medications Signup and view all the answers

Why is it important for AI systems in healthcare to provide explanations?

To foster trust and understanding among users Signup and view all the answers

What is one of the goals of the World Health Organization regarding AI in healthcare?

Developing standardized assessment frameworks Signup and view all the answers

Study Notes

Standardization of AI in Healthcare

Regulatory guidance for AI in healthcare is currently inadequate.
The World Health Organization is developing a standardized assessment framework for AI applications related to health decisions.
Standardization efforts should include methods to measure and reduce bias, ensuring reliability and performance.
Ethical considerations, such as data privacy and safety, are essential in AI standardization.
Standards for human augmentation must be established.

Trust in AI Systems

Trust in AI requires development and operation by skilled professionals.
Explanations provided by AI systems should be clear and understandable for users.
Reliability is a critical factor in fostering trust in AI.
Unbiased decision-making must be a core feature of AI systems.
AI systems should undergo verification and validation according to recognized software development standards.

AI Applications in Predictive Medicine

Predictive medicine identifies patients at risk for diseases, enabling early intervention strategies.
AI assists in predicting effective treatments by analyzing individual patient data.
AI is utilized in assessing hospital readmission risks and detecting patients at risk of adverse medication effects.

AI Applications in Participatory Medicine

Participatory medicine empowers patients to monitor their health, such as through vaccinations.
Individuals can collect and track health indicators, which AI can analyze to improve understanding and reduce healthcare workload.
Mobile health platforms collect symptom data combined with medical information to monitor disease spread and patient interactions.

AI Applications in Personalized Medicine

Personalized medicine utilizes genetic profiles to inform disease prevention, diagnosis, and treatment decisions.
AI aids clinicians in selecting appropriate medications and dosages to improve patient outcomes.
Early diagnosis and risk assessment lead to improved care while managing costs.
AI enhances disease prediction, diagnosis accuracy, and optimal treatment approaches.

AI Applications in Preventive Medicine

Preventive medicine focuses on practices designed to avert disease occurrence.
Technologies such as wearables and telemedicine enhance patient monitoring and care quality.
AI processes vast amounts of data to enable early intervention and disease prevention strategies.
Successful disease intervention relies on knowledge of causative factors, risk identification, and early treatment methods.

Description

This quiz covers Lecture 10 of the BAS 112 course, focusing on the standardization of AI in healthcare. It discusses the need for regulatory guidance and the initiatives by the World Health Organization to develop assessment frameworks for AI in health-related decisions.