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Medical open network for AI (MONAI) is an open-source, community-supported framework for Deep learning (DL) in healthcare imaging. MONAI provides a collection of domain-optimized implementations of various DL algorithms and utilities specifically designed for medical imaging tasks.
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
The thrust draws from innovations in sensors, devices, UAVs, networks, optimization, and machine learning for applications in healthcare, manufacturing, transportation, safety, and a range of other contexts that benefit society. Current research focuses on cloud robotics, deep learning, human-centric automation, and bio-inspired robotics. [8]
The Healthcare Information and Management Systems Society (HIMSS) is an American not-for-profit organization dedicated to improving health care in quality, safety, cost-effectiveness and access through the best use of information technology and management systems. It was founded in 1961 as the Hospital Management Systems Society.
HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...
Lesser-known, but equally true: Cuban’s also the cofounder of Cost Plus Drugs, a pharmacy benefits manager started in 2022 to disrupt a healthcare subsector famously dominated by only three players.
Its authors propose that health-care institutions, academic researchers, clinicians, patients and technology companies worldwide should collaborate to build open-source models for health care of which the underlying code and base models are easily accessible and can be fine-tuned freely with own data sets. [10]
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