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Artificial Intelligence in Medicine
Optimizing healthcare with artificial intelligence in medicine
Areas of application
Artificial Intelligence (AI) offers transformative potential in healthcare by optimizing various applications:
- Time Savings in Medical Diagnosis: AI can streamline diagnostic processes, reducing the time required for analysis and relieving medical professionals from labor-intensive, manual tasks.
- Efficiency in Healthcare Processes: AI enhances the efficiency of processes within hospitals and doctors' practices, facilitating smoother operations and better resource management.
- Optimized Early Detection and Prevention: Leveraging large volumes of data, AI can improve early detection and preventive measures, leading to more effective management of health conditions.
The shortage of skilled workers in the healthcare sector, demographic change, cost pressure and the simultaneous desire for constantly improved patient care require that healthcare processes from prevention to aftercare be optimized and that physicians are relieved using technology. You can read more about this below under Seven advantages of AI software in medicine.
AI software compliant with regulatory requirements
As a hospital, doctor's office, medical device manufacturer or pharmaceutical company, have AI software developed in compliance with regulatory requirements in medicine.
Digitalisation in healthcare facilities is being driven forward intensively, among other things through regulatory initiatives such as
- dthe German Hospital Future Act (KHZG, 2020),
- the Digital Act (DigiG, 2023),
- the EU's Artificial Intelligence Act (AI Act), which was passed on 1 August 2024,
- and the Health Data Use Act (GDNG), which came into force on 26.03.2024.
According to the European Medical Device Regulation (MDR), medical software, and thus also AI software, must be tested and verified in clinical trials. According to the MDR, software itself can be considered a medical device, especially if it is used to detect or treat diseases.
We specialize in developing medical AI software that complies with the Medical Device Regulation (MDR). If desired, we can also assist with bringing your software to market with CE marking, ensuring it meets all necessary regulatory standards.
Offers on software and artificial intelligence in medicine
You will receive various offers from us for the development of software and artificial intelligence in medicine.
We develop the tailor-made solutions in close cooperation with professionals from the healthcare sector and industry to advance the healthcare system technologically and improve patient care. For example, in AI software projects for our customers, we have already successfully developed cognitive systems and trustworthy AI and tested their potential and scalability, such as transferability to other treatment cases and facilities.
In addition, we have gained extensive experience in dealing with real challenges and problems in the healthcare sector in our customer projects. For example, data is often incomplete, unstructured, limited in scope, or scattered across different institutions.
Solutions for AI software in medicine as an example
The following solutions for AI software in medicine are developed by us as examples. This is an excerpt. We would also be happy to implement your ideas for artificial intelligence in medicine.
We understand that every patient is unique. Our AI-powered algorithms not only analyze medical data, but also consider personal factors such as genetics, lifestyle, and preferences. On this basis, we create individual diagnoses and treatment plans that are precisely tailored to the needs of each individual patient.
By integrating personalized risk models, we can not only predict potential risks for specific diseases, but also recommend tailored preventive measures to minimize the risk. This approach allows us not only to treat diseases effectively but also to prevent them from occurring in the first place.
We believe that informed patients are the best patients. Our personalized solutions provide not only medical information, but also educational resources and tools that help patients actively manage their health and make informed decisions.
Health is a dynamic process that can change over time. Our solutions are designed to continuously adapt to new information and changes. By using machine learning and continuous data analysis, we can continuously optimize and improve our solutions.
Seven advantages of AI software in medicine
In connection with the use of AI software in medicine, there are seven advantages for different topics.
AI automates routine tasks and thus shortens the time that physicians must spend on these tasks. This gives them more time to focus on complex medical challenges and patient care.
AI makes it possible to optimise resources and reduce costs. By detecting illnesses earlier, avoiding unnecessary treatment and utilising resources more efficiently, medical facilities save a great deal of money.
By automating processes and empowering medical staff, AI helps increase healthcare efficiency and make the most of resources. It quickly analyzes large amounts of data and delivers rapid results, allowing diseases to be diagnosed and treated faster. This leads to shorter waiting times and improved care.
AI systems evaluate large amounts of data to detect diseases at an early stage and make precise diagnoses.
AI in medicine minimizes human error by performing precise and consistent analyses. By helping doctors make diagnoses and therapy planning, AI makes it possible to avoid potentially dangerous mistakes.
Through more precise diagnoses, personalized treatments, and more efficient care, AI in medicine is helping to improve outcomes for patients: the success rate of their treatment will improve, and they will recover faster.
AI is used to predict the risk of disease or the likelihood of complications occurring. This helps physicians to take appropriate preventive measures.
Definition of artificial intelligence in medicine
Artificial intelligence (AI) in medicine is an ever-growing subfield of artificial intelligence. In the case of AI in medicine, digitally available information is to be evaluated, e.g. to make diagnoses that are as accurate as possible, to make treatment processes more efficient and to recommend optimized therapies.
In other words, human intelligence is to be simulated with the help of machines or systems. Intelligent systems should therefore "think" and learn independently. For such intelligent systems to function reliably and safely, medical decisions based on AI must be comprehensible and explainable for physicians and patients.
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