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Artificial intelligence is changing the face of healthcare by enhancing precision in diagnoses, customizing treatments, automation of laboratory functions, and predictive analytics on health of populations. Virtual assistants with AI can improve the interaction with patients and decrease workload of clinicians. Nonetheless, the data quality, bias, privacy issues, and the necessity of transparency and human control to provide safe and ethical implementation are still a problem (Alowais et al., 2023).

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·      Enhanced Diagnostic Accuracy: AI can analyze medical images, pathology slides, and genomic data with great accuracy, and it can often identify abnormalities at an earlier stage than humans.

·      Personalized Medicine: AI will make each treatment unique to a specific patient, which combines a clinical history, heredity, and lifestyle information.

·      More Rapid Workflow and Efficiency: Automates administration, triage and laboratory procedures, releasing clinicians to concentrate on patient care.

·      Predictive Analytics: Requires high-risk patients with disease, readmission, or adverse events to identify these factors early on to enable the proactive intervention.

·      Increased Patient Engagement: Chatbots and virtual assistants also offer 24/7 support, reminders, and education, which increases adherence and patient outcomes.

·      Data-Drived Decisions: AI augments can draw on extensive research and patient data to enable clinicians to make evidence-based decisions in a short period of time (Chustecki, 2024).

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·      Data Quality and Bias: AI models have the potential to reproduce health disparities when trained based on incomplete, biased, or non-representative datasets.

·      Human Touch Loss: Overuse of AI can decrease the face-to-face interaction and empathy between a patient and the provider.

·      Interpretability & Trust: Lots of AI models are considered black boxes and cannot be discussed with their clinician, and the decision made is hard to explain to a patient.

·      Privacy & Security Threats: Sensitive health information creates dangers of breaching and misusing it.

·      Regulatory and Ethical Issues: In the absence of a uniform set of regulations, the safety and quality of AI tools may be unstable.

·      Cost Industrial and Implementation Barriers: Many facilities may find it hard to spend a lot of money upfront and to have to train their staff and integrate with the existing systems.

·      Liability Problems: It is not clear who is liable in case of an error by AI that results in the harm of a patient (Khan et al., 2023).

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I believe that artificial intelligence should be applied in healthcare since it can help me to make more accurate and faster clinical decisions that enhance patient outcomes. With AI, it is possible to detect disease earlier, plan treatments uniquely and save time on routine tasks giving I more time to pay direct attention to patients. Although I do acknowledge that there are risks, including the risk of data privacy and the possibility of bias, the benefits greatly exceed the risks when AI is used in a responsible manner and with a proper human supervision.

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Members of my team:

1.     Isaac - Ideation: Isaac is creative and innovative in his thinking and comes up with new solutions and new ways of tackling problems. The fact that he can see opportunities that other people may overlook makes the team remain progressive and flexible.

2.     Fernando -Focus: Fernando maintains the team on course to achieve its objectives and timelines, making sure the efforts are channeled to the most important things. His focus and organization keep the momentum and do not lose track.

3.     Alice - Achiever: Alice brings motivation and consistency in productivity to ensure that the team achieves its goals and keeps the level of performance high. Her hard work is a motivating factor to others and encourages the group to produce.

4.     Carter – Communication: Carter promotes effective communication and sharing of information in the team and with the stakeholders. His skills in expression and active listening create meaning and congruency.

5.     Ivan - Intellection: Ivan adds profound thinking and critical thinking to the team, as he assists the team to dive into the core of issues and make informed decisions. This philosophical nature empowers the strategic planning of the team.

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https://www.youtube.com/watch?v=NH-U3MV-hEc

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