Machine Learning: Expedites patient care with increased diagnostic accuracy

Machine learning is enabling clinical decision making to understand the health status of patients or to optimize treatment in real-time. Healthcare organizations are implementing ML solutions to conduct accurate diagnosis in less time and devise personalized and effective treatment plans.


Boston Children’s Hospital partnered with GE Healthcare to develop clinical decision support tools that will assist radiologists in increasing diagnosis accuracy thereby reducing diagnosis time. Service providers are developing risk monitoring and patient data analysis solutions for providers to enable clinical decision making in hospitals.

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