This assignment integrates clinical reasoning with the ethical use of artificial intelligence (AI) to develop an evidence-based management plan for a neurological or psychiatric condition. You will use AI tools to assist in generating differential diagnoses, identifying a final diagnosis, and creating a comprehensive management plan—then verify all information using current clinical practice guidelines and your own clinical judgment. Through this activity, you will strengthen your ability to apply advanced documentation, diagnostic reasoning, and ethical decision making while evaluating the accuracy and limitations of AI in clinical care. Required Case Study All students must use Case Study 2: Fatigue and Sleep Disturbance, provided below, for the Week 9 AI assignment. Do not select a different case study. Your differential diagnoses, final diagnosis, problem statement, evidence-based management plan, AI prompts and outputs, and reflection should all be based on Case Study 2 provided in this announcement. Your completed assignment should include: 3–5 differential diagnoses with supporting rationale A final diagnosis supported by subjective, objective, and pertinent history findings A clear pro Level 4: AI as a Learning Partner AI use is required and may be used to help generate, analyze, or refine responses Often paired with reflective or practice‑focused assignments Resources Be sure to review the Learning Resources before completing this assessment. Required Resources To prepare: Review all Week 9 Learning Resources, including materials on ethical AI use and evidence-based practice guidelines for neurological and psychiatric conditions. Download and review the Assignment TemplateDownload Download and review the Assignment Template. Your instructor will assign a neurological or psychiatric case study scenario found in course Announcements. Review current clinical practice guidelines (e.g., APA, AAN, AAFP, CDC, or USPSTF) relevant to your assigned condition. The Assignment (Template) Analyze your assigned patient scenario (posted in Week 9 Announcements) and use an AI tool (such as ChatGPT, GROK, etc.) to assist in creating the following: Differential Diagnoses (3–5): List and provide a rationale for each diagnosis, using subjective, objective, and pertinent history findings to rule out each differential diagnosis. Final Diagnosis: Identify the final diagnosis with a rationale supported by subjective, objective, and pertinent history findings that rule in the diagnosis according to evidence-based guidelines. Final Problem Statement: Write a problem statement with positive, negative, subjective and objective findings and pertinent history. Evidence-Based Management Plan: Include diagnostics, medications, referrals/consults, patient education, and follow-up, verified against evidence-based clinical guidelines. Use a minimum of 3–5 peer-reviewed, scholarly sources published within the last 5 years. Cite all sources used with in-text citations and a corresponding list of references. Complete and appropriate first-line medication orders (dose, route, frequency, duration, quantity, refills); thorough patient education including diagnosis explanation, medication teaching, lifestyle guidance, and red-flag symptoms; appropriate referrals with clear justification; and specific follow-up instructions including timeframe, purpose, and ED/urgent care precautions.) Reflection on AI US: Write a brief paragraph discussing the accuracy, usefulness, and limitations of AI in developing your management plan. Use of AI: Ensure all AI-generated recommendations are verified and adjusted based on clinical judgment and guideline validation. Appendix: Include copies of prompts entered and outputs generated.