Using AI for medical diagnosis? What you should know about its safety [English]

Author: TodayHeadline | Source: TodayHeadline | Read the full article in English

Artificial intelligence (AI) is making waves in the healthcare sector, but recent research highlights some concerning issues regarding its use in medical diagnosis. A study found that AI models sometimes recommend different treatments based on a patient's socioeconomic status and demographic characteristics, even when the clinical details are the same. This raises questions about fairness and equity in healthcare, as wealthier patients were more likely to receive advanced diagnostic tests compared to those from lower-income backgrounds.

The researchers emphasized the importance of developing AI responsibly to avoid introducing bias into medical decision-making. They believe that by identifying these biases, improvements can be made to ensure that AI systems prioritize patient care effectively and equitably. This is crucial for building trust in AI technologies as they become more integrated into healthcare practices.

In addition to the concerns about AI, the article also discusses promising advancements in treating Sjogren's syndrome, an autoimmune disorder that affects saliva and tear production. Researchers have discovered potential treatments that could restore normal gland function, offering hope for patients suffering from this condition. Furthermore, a new drug has shown promise in delaying disability progression in a form of multiple sclerosis, marking a significant step forward in treatment options for patients with this challenging disease.

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