Artificial intelligence (AI) can vastly improve the development of medical devices and issues facing the sector. It can reduce product development delays, accelerate clinical trials, and address supply chain disruptions.
Discover the leading artificial intelligence companies in the medical devices industry
Using its experience in the sector, Medical Device Network has listed some of the leading companies providing products and services related to AI.
The information provided in the download document is drafted for medical device executives and technology leaders involved in AI medical device solutions.
The download contains detailed information on suppliers and their product offerings, alongside contact details to aid purchase or hiring decisions.
Amongst the leading suppliers of AI for medical devices are CorticoMetrics, Enlitic, Nvidia, Amazon, 3M, Atomwise, BenevolentAI, Cyclica, Exscientia, and Recursion.
Advantages of using AI in the medical devices industry
Artificial intelligence has multiple applications in medical devices, including but not limited to:
Improving manufacturing efficiency
AI can help in improving the efficiency of the medical device manufacturing process while reducing risk. For example, machine learning (ML) can be used to analyse vast amounts of data and identify errors thereby enhancing engineers’ jobs in the manufacturing process.
Manufacturers can use AI for predictive maintenance and scrap production. An AI-based predictive algorithm can be used to collect data on a defective medical device and analyse the probability of whether that device should be serviced or scrapped. If the algorithm indicates that the device will be discarded, it will subsequently not be sent to the engineering department thereby reducing engineers’ workload.
Supply chain management
Supply chain disruptions have increased in the recent past mainly due to the impact of the Covid-19 pandemic. AI and digital twins can be used for supply chain management by creating virtual and dynamic replicas of the complete supply chain network. Digital twins can recreate the entire supply chain network, including factories, warehouses, and inventory positions.
An AI-powered digital twin can help in making better and faster decisions regarding inventory, delivery timelines and transportation costs.
AI-based health monitoring
By using AI medical device companies are enabling patients to manage their health symptoms. Medtronic, for example, introduced an AI-based personal assistant app that tracks real-time biometric data of a patient, including sleep, exercise and medication, to enable them to manage their symptoms independently.
Future of artificial intelligence in the medical devices industry
GlobalData forecasts suggest that the market for AI platforms for the entire healthcare industry will reach $4.3bn by 2024, up from $1.5bn in 2019. Medical device companies will be spending $0.5bn by 2024, up from $0.2bn in 2019, representing a CAGR of 20.6%.