{"id":241288,"date":"2026-07-08T06:00:00","date_gmt":"2026-07-08T10:00:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/07\/08\/contributor-the-crucial-medical-question-that-ai-cant-ever-answer\/"},"modified":"2026-07-08T06:20:12","modified_gmt":"2026-07-08T10:20:12","slug":"contributor-the-crucial-medical-question-that-ai-cant-ever-answer","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/07\/08\/contributor-the-crucial-medical-question-that-ai-cant-ever-answer\/","title":{"rendered":"Contributor: The crucial medical question that AI can&#8217;t ever answer"},"content":{"rendered":"<p><a href=\"https:\/\/www.latimes.com\/opinion\/story\/2026-07-08\/artificial-intelligence-healthcare-decision-making-outcomes\">Contributor: The crucial medical question that AI can&#8217;t ever answer<\/a><\/p>\n<p><a href=\"https:\/\/www.latimes.com\/opinion\/story\/2026-07-08\/artificial-intelligence-healthcare-decision-making-outcomes\">https:\/\/www.latimes.com\/opinion\/story\/2026-07-08\/artificial-intelligence-healthcare-decision-making-outcomes<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-07-08 06:00:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.latimes.com\">www.latimes.com<\/a><\/p>\n<ul>\n<li>Artificial intelligence (AI) plays an essential role in modern healthcare, but it lacks the understanding to address the personal and value-based questions that influence medical decisions.<\/li>\n<li>Healthcare decisions increasingly depend on the alignment of a chosen treatment with the individual patient&#8217;s priorities, risk tolerance, and lifestyle goals rather than purely on biological indicators.<\/li>\n<li>While AI is excellent at processing and synthesizing vast amounts of clinical data to recommend common treatment options, it cannot determine the importance of patient-specific factors like individual goals and fears.<\/li>\n<li>Decisions about treatments for conditions such as back pain, low-risk prostate cancer, and atrial fibrillation are often influenced more by personal preferences than by strict medical evidence.<\/li>\n<li>Patients are encouraged to critically evaluate AI-driven recommendations by questioning whose outcomes the suggestions are best for, what the AI doesn&#8217;t know about their personal circumstances, and the consequences of choosing differently or waiting.<\/li>\n<li>Ultimately, AI should augment human decision-making, not replace it, with the key variable in any healthcare decision remaining the individual patient and their unique context.<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contributor: The crucial medical question that AI can&#8217;t ever answer https:\/\/www.latimes.com\/opinion\/story\/2026-07-08\/artificial-intelligence-healthcare-decision-making-outcomes Publish Date: 2026-07-08 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