DeepMed: AI-Powered Drug Recommendation System

Developments in the implementation of artificial intelligence in medicine have changed the way that clinical decision-making is conducted. DeepMed is an AI- based prescription recommendation network, which aims to generate effective,susceptible and personalized medicine recommendations using patient-specific features. It accepts ages, gender, and diagnoses as inputs and suggests critical pieces of information like “drug name,” “dosage” (in what units), “duration,” “frequency” (how often a day), “route,” and “indication”. DeepMed employs method from state-of-art machine learning model, especially ClinicalBERT, a pre-trained deep learning transformer model on electronic health records (EHRs) and clinical data. This allows the system to grasp complicated medical situations, extract patient details quite right and provide accurate drug advice. DeepMed also improves the prediction performance and reduces human errors in drug treatment compared to the large-scale data analysis. Furthermore, the system includes a real- time data processing function for the provision of the latest recommendations in accordance to up-to-date Medical guidelines. This AI-powered Clinical Decision Support System (CDSS) provides data-analytics driven input tohahealthcare agent to be safer with the patient and to make optimized decision for the treatment.