Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4676
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dc.contributor.authorBhardwaj, Shubhankar-
dc.contributor.authorBharati, Prakash-
dc.date.accessioned2024-02-04T11:28:03Z-
dc.date.available2024-02-04T11:28:03Z-
dc.date.issued2024-01-
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/4676-
dc.descriptionBiosketch: Shubhankar Bhardwaj, Shubhankar is a Consultant with experience in improving lth patient care and making next gen personalized therapeutic [a] “al treatment accessible; Prakash Bharati, Prakash Bharati is a Consultant who harbors an immense curiosity in the interaction of analytics with data.en_US
dc.description.abstractAl has transformed medical image assessments, providing quick results in minutes compared to hours manually. Fueled by efforts from organizations like OpenAl and Google, coupled with widespread cloud computing adoption and data standardization, Al's evolution spans industries. Leveraging terabytes of data, organizations innovate with Al not only for value creation but also social impact. This article explores real-life Al applications in Healthcare and Pharmaceuticals, utilizing techniques like Large Language Models, Computer Vision, Convolutional Neural Networks, Generative Adversarial Networks, and Robotics. Many of these applications are in the Proof-of-Concept phase or undergoing small-scale implementation, promising to enhance patient care and organizational value.en_US
dc.language.isoen_USen_US
dc.publisherMBAEx Magazine Committee, Indian Institute of Management Calcuttaen_US
dc.relation.ispartofseriesVol. 5 (5th ed.);-
dc.subjectAIen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectPost-Procedure Patient Monitoringen_US
dc.subjectAccelerated Drug Discoveryen_US
dc.titleUnleashing AI in Pharma and Healthcareen_US
dc.typeArticleen_US
Appears in Collections:Volume 5, January 2024 (5th ed.)

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