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Artificial Intelligence

By Bill Siwicki | 11:26 am | August 28, 2024
Healthcare leaders must demand ethical artificial intelligence and ensure their RFPs list requirements for safeguards, says Sarah M. Worthy of DoorSpace. This will take time, which would mean pulling back from investing in the majority of AI tools.
By Jessica Hagen | 02:31 pm | August 27, 2024
The toolkit aims to help countries examine their readiness to implement artificial intelligence into their public health sector equitably and effectively.
By Andrea Fox | 04:21 pm | August 26, 2024
A new private WMware cloud aims to address healthcare's data proliferation while Sanford Health taps Infor for modernization and Qventus launches perioperative artificial intelligence to enhance OR efficiencies.
By HIMSS TV | 07:00 am | August 26, 2024
Larry Adams, RN, a consultant aiding nurse leaders in improving operational efficiencies, shows how artificial intelligence can help combat the nursing shortage – and aid with retention, as well.
By Susan Morse | 05:04 pm | August 23, 2024
The health system has invested in automating documentation, but AI chief tells WSJ he's not comfortable using AI for clinical decision-making.
By Bill Siwicki | 01:22 pm | August 23, 2024
Advancements in machine learning are enhancing new large language models' ability to undergo continuous learning and generalize to areas in which the model has not been trained – a transformative next step for AI in imaging.
By Mike Miliard | 11:49 am | August 23, 2024
"Tech CxOs' ability to insert their essential expertise into enterprise decisions will ultimately determine their organizations’ success in the AI era," a new IBM report argues.
By Tanium | 06:29 pm | August 22, 2024
Join Tanium and PwC as we explore the transformative power of Artificial Intelligence (AI) in the healthcare sector. AI is revolutionizing industries worldwide, and healthcare is at the forefront of this innovation wave.
By Bill Siwicki | 11:49 am | August 22, 2024
Beyond overseeing the implementation of AI projects, CAIOs consider broader implications, such as changes to operations and culture. And they aim to ensure AI systems are developed and deployed ethically, transparently and responsibly.