Resources
AI and Health / Healthcare
- Artificial intelligence and family medicine: better together. Liaw & Kakadiaris. Fam Med 2020.
- Artificial intelligence and primary care research: a scoping review. Kueper J et al. Ann Fam Med 2020.
- Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies. Nagendran M et al. BMJ 2020.
- How to achieve trustworthy artificial intelligence for health. Bærøe K et al. Bull World Health Organ 2020.
- Key challenges for delivering clinical impact with artificial intelligence. Kelly CJ et al. BMC Medicine 2019.
- MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care. Hernandez-Boussard T. JAMIA 2020.
- Role of artificial intelligence applications in real-life clinical practice: systematic review. Yin J et al. J Med Internet Res 2021.
Bias, Fairness and Equity in AI and Data Science
- Aequitas: a bias and fairness audit toolkit. Saleiro P et al. arXiv:1811.05577v2 [cs.LG] 2019. Also see: Aequitas website.
- Data feminism. D’Ignazio C, Klein LF. MIT Press 2020.
- Design justice. Costanza-Chock S. MIT Press 2020.
- We All Count. An online resource for understanding & increasing equity in data science.
Machine Learning
- A review of challenges and opportunities in machine learning for health. Ghassemi M et al. AMIA Jt Summits Transl Sci Proc 2020.
- Ethical machine learning in health care. Chen IY et al. arXiv:2009.10576 [cs.CY] 2020.
- Evaluation of machine learning solutions in medicine. Antoniou T & Mamdani M. CMAJ 2021.
- Implementing machine learning in medicine. Verma AA et al. CMAJ 2021
Natural Language Processing
- ReHouSED: a novel measurement of Veteran housing stability using natural language processing. Chapman AB et al. J Biomed Inform 2021.
- Categorising patient concerns using natural language processing techniques. Fairie P et al. BMJ Health Care Inform 2021.
- Identification of social determinants of health using multi-label classification of electronic health record clinical notes. Stemerman R et al. JAMIA Open 2021.
- Modern clinical text mining: a guide and review. Percha B. Ann Rev of Biomed Data Sci 2021.
- Natural language processing of clinical notes on chronic diseases: systematic review. Sheikhalishahi S et al. JMIR Med Inform 2019.
- Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review. Kolek TA et al. JAMIA 2019.
- Using clinical natural language processing for health outcomes research: overview and actionable suggestions for future advances. Velupillai S et al. J Biomed Inform 2018.
Deep Learning
- Dive into deep learning. Zhang A et al. 2021.
- Deep learning. Goodfellow I et al. MIT Press 2016.
Clinical Text Analytics
- Video: Use of free-text clinical data in healthcare and research. Jaya Chaturvedi for Health Data Research UK, 2022.