Contributed: Top 10 Use Cases for AI in Healthcare
Artificial intelligence (AI) is reshaping healthcare, and its use is becoming a reality in many medical fields and specialties. AI, machine learning (ML), natural language processing (NLP) and deep learning (DL) enable healthcare stakeholders and medical professionals to identify healthcare needs and solutions faster with more accuracy, using data patterns to make informed medical or business decisions quickly. AI is able to analyze large amounts of data stored by healthcare organizations in the form of images, clinical research trials and medical claims, and can identify patterns and insights often undetectable by manual human skill sets. AI algorithms are "taught" to identify and label data patterns, while NLP allows these algorithms to isolate relevant data. With DL, the data is analyzed and interpreted with the help of extended knowledge by computers.
Jul-5-2021, 13:00:16 GMT
- Country:
- Europe > Denmark
- Capital Region > Copenhagen (0.04)
- North America > Canada
- Europe > Denmark
- Genre:
- Research Report
- Experimental Study (0.50)
- New Finding (0.50)
- Research Report
- Industry:
- Health & Medicine
- Health Care Technology (1.00)
- Pharmaceuticals & Biotechnology (1.00)
- Therapeutic Area
- Cardiology/Vascular Diseases (1.00)
- Nephrology (0.70)
- Oncology (1.00)
- Health & Medicine
- Technology: