A free AI-powered website helps clinicians more effectively match patients with the optimal antidepressant using big data.
Researchers harness the power of artificial intelligence to match patients with the most effective antidepressant for their unique needs
AI helped to simplify the very complex task of making thousands of guidelines easily accessible to patients and clinicians. The guidelines that researchers created are complicated because of the amount of clinical information that is relevant in prescribing an antidepressant; AI seamlessly simplifies the task.
Alemi and his team analyzed 3,678,082 patients who took 10,221,145 antidepressants. The oral antidepressants analyzed were amitriptyline, bupropion, citalopram, desvenlafaxine, doxepin, duloxetine, escitalopram, fluoxetine, mirtazapine, nortriptyline, paroxetine, sertraline, trazodone, and venlafaxine.
The researchers' most recent paper in a series of papers on response to antidepressants analyzed 2,467 subgroups of patients who had received psychotherapy."Effectiveness of Antidepressants in Combination with Psychotherapy" was published online inin March 2024. Additional authors include Tulay G Soylu from Temple University, and Mary Cannon and Conor McCandless from Royal College of Surgeons in Dublin, Ireland.George Mason University.
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