Science and Technology Science and Technology
Wed, December 18, 2024
[ Wed, Dec 18th 2024 ] - Science Daily
Biodiversity News
[ Wed, Dec 18th 2024 ] - Travel + Leisure
The Best Resorts in Mexico
[ Wed, Dec 18th 2024 ] - fbcnews
Lovo on a quest to fulfil his dream
[ Wed, Dec 18th 2024 ] - ABC
Editorial Roundup: United States
[ Wed, Dec 18th 2024 ] - Science Daily
Electronics News
[ Wed, Dec 18th 2024 ] - Seeking Alpha
SolarEdge: Don't Jump The Gun
[ Wed, Dec 18th 2024 ] - TEC
SCM and Retail Trends in 2025
[ Wed, Dec 18th 2024 ] - Food & Wine
The Champagne Cocktail
[ Wed, Dec 18th 2024 ] - MSN
Pampanga HEI wins robotics contest

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations


Published on 2024-12-18 11:22:19 - The Lancet
  Print publication without navigation

  • Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that underpins such technologies.

The article from The Lancet Digital Health discusses the potential of large language models (LLMs) in transforming healthcare by enhancing clinical decision support, patient communication, and administrative tasks. It highlights the capabilities of LLMs in understanding and generating human-like text, which could lead to personalized medicine, improved diagnostic accuracy, and better patient engagement. However, the article also addresses significant challenges and ethical considerations, including data privacy, bias in AI algorithms, the need for transparency, and the risk of over-reliance on AI systems. It emphasizes the importance of rigorous validation, ethical guidelines, and regulatory frameworks to ensure that LLMs are integrated into healthcare in a safe, equitable, and effective manner. The piece calls for a collaborative approach involving clinicians, AI developers, ethicists, and policymakers to navigate these complexities and harness the full potential of LLMs in healthcare.

Read the Full The Lancet Article at:
[ https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00224-3/fulltext ]