Artificial Intelligence, Tele-ophthalmology, and IoT to Drive the Ophthalmic Diagnostic and Monitoring Devices Market

” Conventional ophthalmic diagnostic devices are bulky and non-portable, take a long time for analysis, require expertise, are uncomfortable for patients, and require frequent visits to the clinic or hospital,” said Dr. Sneha Maria Mariawilliam, Technical Insights Senior Research Analyst at Frost & Sullivan. “Going forward, these emerging technologies will support ophthalmologists in better understanding […]

Important information for clinical investigators

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When AI in healthcare goes wrong, who is responsible?

Artificial intelligence can be used to diagnose cancer , predict suicide , and assist in surgery . In all these cases, studies suggest AI outperforms human doctors in set tasks. But when something does go wrong, who is responsible? Source: When AI in healthcare goes wrong, who is responsible?