Spike, a B2B data technology and AI startup, has raised $3.5M in a seed round led by Practica Capital and TheVentureCity. The company will…
Browsing: Electronic Health Records
This article discusses the use of artificial intelligence in predicting stroke etiology in patients. The study used natural language processing and machine learning tools…
Distributed learning is a method of training models in different settings and aggregating them together, with two main branches: federated learning and peer-to-peer learning.…
The article discusses the importance of network security in the healthcare industry, given the increasing use of electronic health records and interconnected medical devices.…
Graph-based workflows and machine learning pipelines are being used to integrate patient information and biomedical knowledge, leading to new discoveries and insights. One study…
The Clinical Documentation Improvement (CDI) market is experiencing significant growth due to technological advancements and evolving regulatory requirements. The market offers a range of…
This study uses large-scale, population-representative, linked electronic health record datasets to develop and evaluate clinical prediction models for estimating individual-level risks of developing pancreatic…
The healthcare data storage market is projected to experience significant growth in the coming years, driven by the increasing volume of healthcare data and…
Artificial intelligence and natural language processing systems are being used to mine electronic health records for research and predict short-term outcomes for rheumatoid arthritis…
The global Healthcare Cognitive Computing market is expected to reach USD 12.94 billion by 2031, growing at a CAGR of 16.87% from 2024 to…