Founded as a research project at Taipei Medical University (TMU) in 2011, AESOP began by detecting prescription errors in Taiwan’s vast NHI database. Today, it has evolved into a comprehensive clinical-decision platform that uses AI to guide doctors through complex treatment pathways in real time.

DxPrime, an AI-powered solution designed to enhance diagnostic accuracy through real-time integrity analysis and automated code translation, is now available on Mayo Clinic Platform.

The growing demand for personalized medicine has accelerated the adoption of Real-World Data (RWD) in healthcare. The Tungs' Taichung MetroHarbor Hospital in Taiwan, in collaboration with AESOP Technology, conducted research on an AI-driven Clinical Decision Support System (CDSS) that leverages RWD to enable safer and more effective clinical decision-making, significantly reducing the risk of potentially inappropriate medications. The findings were published in the Journal of Medical Internet Research recently.

Wrong-site surgery (WSS), a critical "Never Event," represents a failure that should never occur in healthcare. Yet, due to underreporting, the true prevalence of these incidents remains obscured, jeopardizing patient safety and healthcare management. AESOP Technology, a medical AI startup, has developed an innovative solution: the Association Outlier Pattern (AOP) machine learning model. This model offers real-time decision support and retrospective analysis, aimed at enhancing surgical safety and care quality.

Medication errors are a critical problem in healthcare, and Look-Alike, Sound-Alike (LASA) medication errors pose a particularly daunting challenge. Studies show that LASA errors account for approximately one in four medication errors, making them a significant threat to patients. AESOP Technology is thus pleased to announce remarkable results from its recent clinical research, demonstrating its exceptional effectiveness in preventing LASA errors.

SOAP Health's conversational AI for medical encounters, risk and symptom assessment, and documentation integrates with AESOP Technology's electronic medical record data analysis for clinical decision optimization, coding, and productivity.

AESOP Technology, in collaboration with AstraZeneca Taiwan, has unveiled Medigator, an innovative AI software designed to manage immune-related adverse events (irAEs) and enhance the effectiveness of immunotherapy. With cancer being the second leading cause of death and immunotherapy offering improved survival rates, Medigator is specially designed to address the potential challenges associated with irAEs that may deter some patients from choosing this treatment.