How Is AI Being Used in Healthcare?
AI can make it possible for automated systems to evaluate medical images for anomalies, monitor patient vital signs at scale, and alert clinicians to intervene when needed. It helps improve operational and clinical workflows and integrate data from many different sources so that clinicians can make more-informed decisions. Researchers are tapping AI to assist in drug discovery, targeted therapeutics, and infectious disease management. Other examples of AI in healthcare and life sciences include lab automation, robotics, and AI-enabled telemedicine.
Benefits of AI in Healthcare
AI improves productivity by automating tasks and can help clinicians with fast, accurate diagnoses and treatment.2 Artificial intelligence in radiology can reduce the compute time needed to generate images. In population health, machine learning can help identify the likelihood of hospital readmission. AI in pharmaceuticals development can lead to the discovery of new drugs. AI can also make it possible to ingest data from multiple sources, like medical records and vital signs, and identify patterns that are difficult for humans to spot.
Intel AI in Healthcare and Life Sciences
Intel’s work in AI is helping health industry experts address some of the most pressing challenges today. These include:
- Precision medicine – AI can make sense of unstructured and structured health data, such as genomics data sets, that are crucial to advancing precision medicine, an approach to care centered on the patient’s unique genome and health information.
- Clinical systems – AI can help transform raw data into new insights that inform treatment plans at every stage of the patient’s journey. It can also support care-at-a-distance strategies, such as telehealth and robotics, applied across inpatient and outpatient environments.
- Pharmaceutical processes – AI can play a major role in drug development, transforming compound discovery.
- Medical imaging – AI can enhance medical image quality and assist clinicians in evaluating images quickly and accurately.
Intel offers a range of flexible, scalable, open hardware to fit every compute need, from low-power VPUs to high-performance CPUs. And software tools like the Intel® Distribution of OpenVINO™ toolkit remove the complexity of working with different hardware back ends, so you can write code once and deploy it everywhere.