AI software

medication managementdiagnostictelemonitoring

ScienceSoft leverages 35 years of experience in AI software development and 19 years in healthcare IT to create AI-enabled medical software that our clients can rely on. AI-Powered Medical Devices: The Fundamentals AI-based medical devices comprise two main categories: medical devices connected to AI-enabled cloud software and AI-supported applications that function as medical devices. In both cases, artificial intelligence can significantly improve healthcare outcomes by assisting doctors with diagnostics, treatment planning and management, complications prediction, drug prescription, dosage calculation, and more. Market Overview By 2032, the AI/ML-powered medical devices market is expected to reach $35.5 billion. The vast majority of devices authorized in 2023 are in radiology (79%), followed by cardiovascular, neurology, gastroenterology/urology, anesthesiology, ear, nose and throat, and ophthalmology. How AI-Powered Medical Devices Work Architecture This is a sample architecture of an AI-supported SaMD solution recommended by ScienceSoft’s consultants. Use cases Diagnostics When connected to the ERP system, AI-supported SaMD with pattern recognition and computer vision capabilities can analyze large amounts of clinical data from various sources (lab tests, medical images, etc.). This helps identify unique dependencies or abnormalities that could be overlooked by a human. The system then generates a list of possible diagnoses.