{"id":181487,"date":"2026-01-25T09:00:00","date_gmt":"2026-01-25T14:00:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/25\/we-must-not-let-ai-pull-the-doctor-out-of-the-visit-for-low-income-patients-leah-goodridge-and-oni-blackstock\/"},"modified":"2026-01-25T09:20:11","modified_gmt":"2026-01-25T14:20:11","slug":"we-must-not-let-ai-pull-the-doctor-out-of-the-visit-for-low-income-patients-leah-goodridge-and-oni-blackstock","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/25\/we-must-not-let-ai-pull-the-doctor-out-of-the-visit-for-low-income-patients-leah-goodridge-and-oni-blackstock\/","title":{"rendered":"We must not let AI \u2018pull the doctor out of the visit\u2019 for low-income patients | Leah Goodridge and Oni Blackstock"},"content":{"rendered":"<p><a href=\"https:\/\/www.theguardian.com\/commentisfree\/2026\/jan\/25\/ai-healthcare-risks-low-income-people\">We must not let AI \u2018pull the doctor out of the visit\u2019 for low-income patients | Leah Goodridge and Oni Blackstock<\/a><\/p>\n<p><a href=\"https:\/\/www.theguardian.com\/commentisfree\/2026\/jan\/25\/ai-healthcare-risks-low-income-people\">https:\/\/www.theguardian.com\/commentisfree\/2026\/jan\/25\/ai-healthcare-risks-low-income-people<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-01-25 09:00:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.theguardian.com\">www.theguardian.com<\/a><\/p>\n<p>Here&#8217;s a summary of the article using an unordered list:<\/p>\n<p>&#8211; Akido Labs is using AI-assisted medical assistants in Southern California to provide healthcare services to unhoused and low-income individuals, aiming to reduce physicians&#8217; involvement.<br \/>\n&#8211; A rising trend sees generative AI being increasingly integrated into healthcare, with some AI tools now aiding in diagnosis and drug prescribing, despite potential risks.<br \/>\n&#8211; The deployment of such AI tools disproportionately affects marginalized populations, particularly those who are already disadvantaged in accessing and receiving quality healthcare services.<br \/>\n&#8211; Studies show AI tools often reproduce biases, leading to inaccurate diagnoses and inadequate care, especially for Black and Latinx patients, women, and individuals covered under Medicaid.<br \/>\n&#8211; The article raises concerns that AI in healthcare is being rapidly implemented without full transparency or informed consent from patients, risking exacerbation of existing healthcare inequities and exploitation.<br \/>\n&#8211; The influence of AI extends beyond diagnosis and treatment to social and financial dimensions such as Medicaid amounts and eligibility for disability insurance, as evidenced by ongoing lawsuits against insurance companies using AI to determine coverage eligibility.<br \/>\n&#8211; The article underscores the risks of medical classism, suggesting that low-income and unhoused populations might be further marginalized if AI is overly relied upon in their healthcare without genuine patient-centered care.<br \/>\n&#8211; Ethical concerns are highlighted to argue against using vulnerable populations as testing grounds for AI in healthcare, emphasizing the need for inclusion of marginalized voices in technology implementation decisions.<br \/>\n&#8211; The article concludes with a call for care that prioritizes human healthcare providers and for communities to have a voice in the deployment of AI in healthcare.<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We must not let AI \u2018pull the doctor out of the visit\u2019 for low-income patients&#8230;<\/p>\n","protected":false},"author":1,"featured_media":181488,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/i.guim.co.uk\/img\/media\/41e566c2989d63a34bb98f7ddc7a50d69bfc144c\/315_0_4793_3834\/master\/4793.jpg?width=1200&height=630&quality=85&auto=format&fit=crop&precrop=40:21,offset-x50,offset-y0&overlay-align=bottom%2Cleft&overlay-width=100p&overlay-base64=L2ltZy9zdGF0aWMvb3ZlcmxheXMvdGctb3BpbmlvbnMucG5n&enable=upscale&s=f687a89ab54a2afb1e50b8d102fca67a","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[19],"class_list":["post-181487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-generative-ai"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/181487"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=181487"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/181487\/revisions"}],"predecessor-version":[{"id":181489,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/181487\/revisions\/181489"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/181488"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=181487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=181487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=181487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}