Artificial Intelligence In Early Disease Detection
In
Technology Policy
By
Ava Szajnuk, Bhavana Rupakula, Malek Kamal, Queen-Asset Blissett, Lola Agboola, Siddhi Jain, Gautham Parvathanenil, Lachlan Feichthaler
Artificial intelligence is increasingly being used to identify patterns in medical images, patient records, and other health data that may enable earlier disease detection. Although these systems may improve diagnostic speed and expand access to screening, inaccurate or biased algorithms can also produce missed diagnoses, unequal outcomes, and inappropriate medical decisions. This brief examines the policy challenges surrounding AI-enabled early disease detection and proposes a framework through human oversight.


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