A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

This research explores systematic review of trustworthy and explainable artificial..., contributing new insights to the field of Artificial Intelligence.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 Research demonstrates significant advances in performance benchmarks
• 2 Study provides new evidence regarding model accuracy improvements
• 3 Findings open new directions for computational efficiency

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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