AI in Medical technology
Medical technology
In medical technology, AITAD offers innovative approaches to optimize existing solutions and promote innovation. Embedded AI optimizes and relieves the burden here, particularly through user interaction and advanced predictive maintenance solutions.
Whether automated wear testing, sterile control of devices using voice or gestures, situation-adapted lighting in operating rooms, or early detection of strokes—embedded AI optimizes many processes in medicine, helps shorten diagnosis and treatment times, and can help save lives. Intelligent devices also help deploy personnel efficiently and optimize processes economically.
Improve treatment, optimize diagnosis and treatment times in medicine with embedded AI
- Assistance systems: Evaluate the handpiece holder in real time based on the treatment situation and generate operating suggestions and warnings.
- Optimal illumination: Automation of surgical and endoscopic lighting through intelligent adaptation to the cleaning and treatment situation.
- Error prevention: Intelligent real-time torque evaluation for safe insertion of implants – reducing the risk of bone fractures.
- Quality control: Optical cutting edge evaluation for HF surgical instruments for intelligent performance settings.
- Predictive maintenance: Automated wear checking and failure prediction for medical devices.
- Efficient personnel deployment: Embedded AI allows you to control surgical equipment hands-free using voice commands. This improves hygiene and helps reduce the number of operating personnel required in times of skilled labor shortages.
- Diagnostics: Early detection of heart attacks or strokes can be optimized in hospital emergency rooms.
- Continuous vital sign monitoring: Medical sensor wristbands enable long-term patient observation and the recording of vital signs to support diagnosis. This can reduce diagnosis and treatment times in doctors’ offices and hospitals.
- Prophylaxis: Toothbrushes detect tartar buildup thanks to embedded AI sensors that detect ultrasonic noise.
Further possible applications for embedded AI
Energy and air-conditioning technology
Process optimization (e.g. status and anomaly detection for the main components of a heat pump, e.g. compressor, condenser, evaporator, expansion valve)
Electrical installation
Innovative infrared fire protection systems for control cabinets that provide reliable protection and effectively prevent short circuits and fires.
Retail
Data protection-compliant theft prevention – detects suspicious behavior and protects against losses without compromising customer privacy.
Robotics
Monitoring of joints in robot arms for early failure prediction. Optimization of the grip pressure of automatic grippers depending on the material to be gripped
Fire protection
Precise positioning and emotion detection of people to be evacuated – enables faster rescue and targeted support in emergency situations.
Additional solutions
Mechanical engineering
Embedded AI with AITAD is setting new standards in mechanical engineering and industrial manufacturing. The combination of AI and intelligent sensor technology optimizes processes, increases efficiency and reduces downtime. At the same time, you can produce more economically while increasing quality and predictability.
White goods, household appliances, sanitary
Embedded AI brings new features and improvements to household appliances and plumbing. AITAD’s solutions work without the need for continuous updates or a network connection and can be integrated into almost any device. They provide greater efficiency and convenience, detect damage to plumbing installations at an early stage and optimize water consumption. This way, they increase the longevity of technical systems and improve the quality of everyday life.
Automotive
AITAD has been working with German OEMs for years. Our embedded AI solutions not only contribute to engine function testing, but also help save lives in a variety of ways. This is done both by monitoring and predictive maintenance of wear parts in the powertrain and by groundbreaking developments in driver monitoring.
