Useful links on the use of AI in COVID-19 responses
Rolling updates on comments and analyses concerning uses of artificial intelligence in the context of the COVID-19 pandemic, displayed in reverse chronological order.
China’s data-driven dream to overhaul health care (Nature, Oct 2021)
Federated learning for predicting clinical outcomes in patients with COVID-19 (Nature Medicine, Sep 2021)
The prospective of Artificial Intelligence in COVID-19 Pandemic (Health and Technology, Sep 2021)
Lessons from A.I.’s rare pandemic success (Fortune, Sep 2021)
How data can help prepare us for the next pandemic (Financial Times, Sep 2021)
Artificial Intelligence in the pandemic (Times of Oman, Sep 2021)
Do we need humans for that job? Automation booms after COVID (AP, Sep 2021)
Do I sound sick? (The Lancet, Aug 2021)
Hundreds of AI tools have been built to catch covid. None of them helped (MIT Technology Review, Jul 2021)
The Question Medical AI Can’t Answer (Scientific American, Jul 2021)
Artificial intelligence in the pandemic (DW, Jul 2021)
AI technology identifies 160 possible new drug treatments for COVID-19 (Health Europa, Jul 2021)
Ethics and governance of artificial intelligence for health (World Health Organization, Jun 2021)
How AI has helped in the transportation of vaccine delivery for COVID-19 (AI News, Jun 2021)
Fusion of Artificial Intelligence and Nanopore Technology: Passing the COVID Test in Just Five Minutes (SciTechDaily, Jun 2021)
AI-Enhanced ECG Shows Potential for COVID-19 Screening (TCTMD, Jun 2021)
How wearable AI could help you recover from covid (MIT Technology Review, Jun 2021)
AI has a long way to go before doctors can trust it with your life (Quartz, Jun 2021)
A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19 (Journal of Clinical Medicine, May 2021)
AI for radiographic COVID-19 detection selects shortcuts over signal (Nature Machine Intelligence, May 2021)
Artificial intelligence has been of little use for diagnosing COVID-19 (New Scientist, May 2021)
Machine learning faces a reckoning in health research (IEEE Spectrum, May 2021)
Using AI ethically to tackle COVID-19 (The BMJ, Mar 2021)
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans (Nature Machine Intelligence, Mar 2021)
Does “AI” stand for augmenting inequality in the era of COVID-19 healthcare? (The BMJ, Mar 2021)
COVID-19 driven advances in automation and artificial intelligence risk exacerbating economic inequality (The BMJ, Mar 2021)
AI, COVID-19 and the long haul (Nature Machine Intelligence, Mar 2021)
How does bias affect healthcare AI, and what can be done about it? (HealthcareITNews, Mar 2021)
Artificial intelligence for COVID-19: saviour or saboteur? (The Lancet, Jan 2021)
Data science and AI in the age of COVID-19 – report (The Alan Turing Institute, Dec 2020)
Coronavirus triggered a healthcare AI boom. Was it worth it? (Wired UK, Dec 2020)
Artificial intelligence and COVID-19: Can the machines save us? (Washington Post, Nov 2020)
Applications of machine learning and artificial intelligence for COVID-19 (SARS-CoV-2) pandemic: a review (Chaos, Solitons & Fractals, Oct 2020)
Hundreds of AI solutions proposed for pandemic, but few are proven (MedCity News, May 2020)
Using Artificial Intelligence to help combat COVID-19 (OECD, Apr 2020)
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal (The BMJ, Apr 2020)
AI and control of COVID-19 coronavirus (The Ad hoc Committee on Artificial Intelligence, 2020)
Latest update: Oct 11, 2021