@ShahidNShah
Artificial Intelligence (AI) is revolutionizing healthcare, but its true impact depends on seamless human interaction. While most research focuses on technical metrics, we lack frameworks to measure the compatibility or synergy of real-world human-AI interactions in healthcare settings. We propose a multimodal toolkit combining ecological momentary assessment, quantitative observations, and baseline measurements to optimize AI implementation.
As hospitals across the U.S. expand AI adoption, success will depend as much on how clinicians interact with these tools as on the technology itself. Embedding AI into real clinical workflows—with continuous human oversight, usability testing, and trust-building—will be key to improving patient care while minimizing errors and clinician burnout.
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Blockchain technology has gained significant attention in several sectors owing to its distributed ledger, decentralized nature, and cryptographic security. Despite its potential to reform the …
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