The iAdeptive team has been recognized as one of the winners in the National Institutes of Health’s prestigious “Minimizing Bias and Maximizing Long-Term Accuracy, Utility and Generalizability of Predictive Algorithms in Health Care Challenge.”
This competition sought to promote the development of innovative tools to detect and correct biases in clinical decision support algorithms, to improve the accuracy, utility, and generalizability of predictive algorithms in healthcare. “iAdpetive is proud to have contributed to the advancement of “good algorithmic practice” in the healthcare industry,” said CTO Senthil Ranganathan. “Our team’s solution demonstrated a high level of precision and accuracy in detecting and mitigating potential biases in healthcare algorithms.”
iAdeptive CEO Susireeta Dhandapani said, “We would like to express our gratitude to the organizers of the challenge for providing us with this unique opportunity to showcase our expertise and innovation in the field of AI technology. We would also like to extend our congratulations to all the participants and finalists who have contributed to this important cause.”
About iAdeptive
iAdeptive Technologies, an emerging 8a firm with engineering excellence tailored to modernize Enterprise need. iAdeptive is expert in amplifying the potential of businesses by building innovative, powerful modern technologies and concepts – from Design Thinking to Machine Learning, automating across all software lifecycle phases. Our Enterprise Architecture business IT service offers business design, enterprise architecture and infrastructure architecture services that support organizations in turning digital transformation into an integral part of Enterprise level implementation. Learn more here. http://www.iadeptive.ai
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