{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T20:14:20Z","timestamp":1793218460705,"version":"4.5.0"},"reference-count":0,"publisher":"South African Medical Association NPC","issue":"1","license":[{"start":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T00:00:00Z","timestamp":1703980800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["S Afr Med J"],"abstract":"<jats:p>The sanctity of the doctor-patient relationship is deeply embedded in tradition \u2013 the Hippocratic oath, medical ethics, professional codes of conduct, and legislation \u2013 all of which are being disrupted by big data and \u2018artificial\u2019 intelligence (AI). The transition from paper-based records to electronic health records, wearables, mobile health applications and mobile phone data has created new opportunities to scale up data collection. Databases of unimaginable magnitude can be harnessed to develop algorithms for AI and to refine machine learning. Complex neural networks now lie at the core of ubiquitous AI systems in healthcare. A transformed healthcare environment enhanced by innovation, robotics, digital technology, and improved diagnostics and therapeutics is plagued by ethical, legal and social challenges. Global guidelines are emerging to ensure governance in AI, but many low- and middle-income countries have yet to develop context- specific frameworks. Legislation must be developed to frame liability and account for negligence due to robotics in the same way human healthcare providers are held accountable. The digital divide between high- and low-income settings is significant and has the potential to exacerbate health inequities globally.<\/jats:p>","DOI":"10.7196\/samj.2024.v114i1.1631","type":"journal-article","created":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T05:00:36Z","timestamp":1709874036000},"page":"22-26","source":"Crossref","is-referenced-by-count":20,"title":["Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities"],"prefix":"10.7196","volume":"114","author":[{"given":"K","family":"Moodley","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4425","published-online":{"date-parts":[[2023,12,31]]},"container-title":["South African Medical Journal"],"original-title":[],"link":[{"URL":"https:\/\/samajournals.co.za\/index.php\/samj\/article\/download\/1631\/747","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/samajournals.co.za\/index.php\/samj\/article\/download\/1631\/747","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T06:12:17Z","timestamp":1719987137000},"score":1,"resource":{"primary":{"URL":"https:\/\/samajournals.co.za\/index.php\/samj\/article\/view\/1631"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,31]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12,31]]}},"URL":"https:\/\/doi.org\/10.7196\/samj.2024.v114i1.1631","relation":{},"ISSN":["2078-5135","0256-9574"],"issn-type":[{"value":"2078-5135","type":"electronic"},{"value":"0256-9574","type":"print"}],"subject":[],"published":{"date-parts":[[2023,12,31]]}}}