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Artificial intelligence (AI) and machine learning models are frequently developed in medical research to optimize patient care, yet they remain rarely used in clinical practice.
Most U.S. physicians are open to using AI in clinical practice, with nearly 82% saying they would adopt it if allowed, especially for risk prediction, medical imaging, and disease prognosis. However, adoption depends on proving real clinical value and addressing concerns about AI errors, bias, and integration into existing healthcare workflows.
Continue reading at ai.jmir.org
Spinal cord injury (SCI) is complicated and varied conditions that receive a lot of attention. However, the prognosis of patients with SCI is increasingly being predicted using machine learning (ML) …
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