import autogen class DoctorAgent(autogen.Agent): def diagnose(self, patient_data): diagnosis = self.generate_diagnosis(patient_data) return diagnosis def generate_diagnosis(self, patient_data): if patient_data['condition'] == 'Parkinson': return "Patient diagnosed with early-stage Parkinson. Recommend Treatment A." elif patient_data['condition'] == 'Alzheimer': return "Patient diagnosed with Alzheimer. Recommend Treatment B." else: return "Further diagnosis needed." class NurseAgent(autogen.Agent): def monitor_patient(self, patient_data, treatment): if patient_data['response'] == 'positive': return f"Patient responding well to {treatment}." else: return f"Patient showing adverse effects to {treatment}. Alert doctor!" class ClinicianAgent(autogen.Agent): def specialize_support(self, condition): if condition == "Parkinson": return "Recommend additional physiotherapy sessions." elif condition == "Alzheimer": return "Recommend cognitive therapy." else: return "No specialized support needed." class AICoordinator(autogen.Agent): def __init__(self): self.doctor_agent = DoctorAgent() self.nurse_agent = NurseAgent() self.clinician_agent = ClinicianAgent() def coordinate_care(self, patient_data): diagnosis = self.doctor_agent.diagnose(patient_data) treatment = diagnosis.split("Recommend ")[1] nurse_update = self.nurse_agent.monitor_patient(patient_data, treatment) clinician_support = "" if patient_data['condition'] in ['Parkinson', 'Alzheimer']: clinician_support = self.clinician_agent.specialize_support(patient_data['condition']) final_plan = f"Final Plan: {treatment}, {clinician_support}" return final_plan class AgentSystem: def __init__(self): self.coordinator = AICoordinator() def coordinate_care(self, patient_data): return self.coordinator.coordinate_care(patient_data)