TY - ADVS
T1 - AI in Healthcare
T2 - Unveiling the Risks for Marginalised Populations
AU - Miyake, Esperanza
AU - Sekalala, Sharifah
AU - Perera, Yureshya
PY - 2025/1/15
Y1 - 2025/1/15
N2 - Artificial intelligence (AI), an area with growing interest and often harped as the solution for many issues, has made significant inroads into national healthcare systems over the past decade. AI holds power to positively impact healthcare delivery and improve patient outcomes. However, there are growing concerns around the notion that focusing on AI to completely transform healthcare delivery for better access and efficient services holds very real risks. Recent research and evidence have shown that AI could inadvertently exacerbate existing health inequalities if not developed and deployed responsibly within appropriate areas and under proper regulations.
AB - Artificial intelligence (AI), an area with growing interest and often harped as the solution for many issues, has made significant inroads into national healthcare systems over the past decade. AI holds power to positively impact healthcare delivery and improve patient outcomes. However, there are growing concerns around the notion that focusing on AI to completely transform healthcare delivery for better access and efficient services holds very real risks. Recent research and evidence have shown that AI could inadvertently exacerbate existing health inequalities if not developed and deployed responsibly within appropriate areas and under proper regulations.
KW - artificial intelligence
KW - marginalised populations
KW - health
KW - healthcare delivery
UR - https://slsablog.co.uk/blog/blog-posts/blog-series-on-exploring-te-intersections-of-technology-health-and-law-ai-in-healthcare-part-12-unveiling-the-risks-for-marginalised-populations/
M3 - Blog Post
ER -
