AI in health and medicine.
Pranav RajpurkarEmma ChenOishi BanerjeeEric J TopolPublished in: Nature medicine (2022)
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. We discuss key findings from a 2-year weekly effort to track and share key developments in medical AI. We cover prospective studies and advances in medical image analysis, which have reduced the gap between research and deployment. We also address several promising avenues for novel medical AI research, including non-image data sources, unconventional problem formulations and human-AI collaboration. Finally, we consider serious technical and ethical challenges in issues spanning from data scarcity to racial bias. As these challenges are addressed, AI's potential may be realized, making healthcare more accurate, efficient and accessible for patients worldwide.
Keyphrases
- artificial intelligence
- healthcare
- big data
- deep learning
- machine learning
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- public health
- endothelial cells
- mental health
- electronic health record
- palliative care
- risk assessment
- drinking water
- mass spectrometry
- patient reported outcomes
- climate change
- social media