You and AI - Rajeev Ronanki
Relatable and realistic although relatively light on substance and insights for the tech savvy
< 1 minute read
The use of AI in revenue cycle management
The steps of revenue cycle management can be improved with AI solutions, especially in the forms of machine learning and robotic process automation
2 minute read
Evaluating and reducing cognitive load should be a priority for machine learning in healthcare
Machine learning is capable of decreasing the mental effort required to process immense amounts of biomedical data, yet its ability to do so is rarely evaluated
2 minute read
Bias and variance in machine learning
Understanding bias and variance is critical for understanding the behavior of prediction models
2 minute read
Overuse and underuse of health care: new insights machine learning
Using algorithms to improve decision support
2 minute read
Parameters vs hyperparameters in machine learning
The different roles of parameters and hyperparameters
2 minute read
Choosing the best medication— Can artificial intelligence help?
A study that uses AI to predict clinical effectiveness of the first antiseizure medication
2 minute read
Transformers and the self attention mechanism
What are the implications of transformers in AI for clinical medicine and healthcare?
2 minute read
Shifting machine learning from development to deployment
The central role of healthcare data in assuring that models mature from development to deployment
3 minute read
