Towards artificial general intelligence via a multimodal foundation model
Using a Bridging-Vision-and-Language (BriVL) model to obtain higher diagnostic accuracy
2 minute read
Combining convolutional neural networks and self‑attention for fundus diseases identification
An exciting convergence of two different AI methodologies in medical image interpretation
2 minute read
AI facilitates breakthrough in diagnosis of nasal cavity tumors
Researchers at LMU and Charité hospital in Berlin have developed a method that can reliably classify difficult-to-diagnose nasal cavity tumors
2 minute read
Utilizing robotic process automation to optimize revenue cycle management
The ways that AI can help with two of the most demanding tasks in the revenue cycle management process
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
Parameters vs hyperparameters in machine learning
The different roles of parameters and hyperparameters
2 minute read
How AI is overcoming challenges of lung disease detection
Riverain’s Steve Worrell on the commercialization of AI in medicine and improving early lung disease detection
3 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