Ethics of large language models in medicine and medical research
Ethical considerations for the use of LLMs in academic medicine and medical research should be addressed
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
Overuse and underuse of health care: new insights machine learning
Using algorithms to improve decision support
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
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
The 'Digital Twin' to enable the vision of precision cardiology
The benefits of digital twin technologies and the ways it can enable precision medicine
2 minute read
Key elements and early successes of governance of AI projects
Real life experiences of the governance of AI projects
2 minute read
Insights from teaching AI to medical students
Medical students need to learn about appropriate applications of AI, but only very few health professional schools are offering sufficient tuition
2 minute read
Decoding artificial intelligence to achieve diagnostic excellence
If a clinician can better understand the underlying mechanisms of diagnostic AI, they can perhaps appreciate both their advantages and limitations
2 minute read