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          <dc:identifier>https://hdl.handle.net/2286/R.I.63773</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
                  <dc:date>2021-05</dc:date>
                  <dc:format>30 pages</dc:format>
                  <dc:language>eng</dc:language>
                  <dc:contributor>Wehelie, Sumayah A</dc:contributor>
          <dc:contributor>Frow, Emma</dc:contributor>
          <dc:contributor>Maynard, Andrew</dc:contributor>
          <dc:contributor>Harrington Bioengineering Program</dc:contributor>
          <dc:contributor>Barrett, The Honors College</dc:contributor>
                  <dc:description>Within the last decade, there has been a lot of hype surrounding the potential medical applications of artificial intelligence (AI) and machine learning (ML) technologies. During the same timespan, big tech companies such as Microsoft, Apple, Amazon, and Google have entered the healthcare market as developers of health-based AI and ML technologies. This project aims to create a comprehensive map of the existing health-AI market landscape for the standard biotech reader and to provide a critical commentary on the existing market structure.</dc:description>
                  <dc:subject>Health Care</dc:subject>
          <dc:subject>Big Tech</dc:subject>
          <dc:subject>Regulation</dc:subject>
          <dc:subject>Algorithms</dc:subject>
          <dc:subject>Cloud-Computing Platforms</dc:subject>
                  <dc:title>Mapping the Implications of AI and Machine Learning in the Healthcare Market</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
