Articles for tag: artificial intelligence, COVID-19 research, electronic health records, healthcare innovation, long COVID, PASC, Precision Medicine

November 11, 2024

Harvard’s AI research uncovers long COVID with precision, revealing 24,000 cases and advancing personalized medicine amidst a global health crisis.

Recent research from Harvard Medical School highlights an innovative AI tool developed by Mass General Brigham to help identify long COVID, also known as post-acute sequelae of COVID-19 (PASC). This method uses electronic health record data to provide precise phenotyping, which improves the detection of long COVID without underestimating its prevalence. The study, involving over ...

November 11, 2024

Market News

Harvard researchers unveil an AI tool to precisely identify long COVID, enhancing diagnosis and patient care amid widespread post-viral illness.

A recent study from Harvard Medical School highlights how an artificial intelligence tool created by Mass General Brigham can effectively identify long COVID, also known as post-acute sequelae of COVID-19 (PASC). By analyzing electronic health records from over 295,000 patients, the AI tool demonstrated a high accuracy of 79.9%, surpassing traditional methods that often underestimate ...

November 9, 2024

Market News

A groundbreaking AI tool reveals 22.8% of patients suffer from long COVID, enhancing diagnostic accuracy and addressing healthcare biases.

A new AI tool has discovered that 22.8% of patients may have long COVID, significantly higher than the previously suggested 7%. This innovative algorithm analyzes health records of nearly 300,000 individuals, accurately pinpointing long COVID symptoms linked to COVID-19 rather than other existing health issues. Known as “precision phenotyping,” this approach enhances diagnostic accuracy by ...