Artificial Intelligence is making a dent in healthcare in the United States and around the world, assisting leaders in Europe, South America, and Asia in improving results and lowering costs, as well as resolving important medical pain points. Presenters at HL7 International’s recent panel on The Use of Artificial Intelligence in Healthcare, held as part of the organization’s 35th Annual Plenary Meeting, said as much. The discussion, hosted by Walter Suarez, MD, MPH, HL7 International Board Chair, had four different presentations covering the many applications of AI in the healthcare domain.
Xihong Lin, Ph.D., a professor of biostatistics and the coordinating director of Harvard University’s quantitative genomics program, gave the first talk. Lin noted in her speech, Artificial Intelligence in Genomics & Population Health, that with the support of electronic health records, the comprehension of genomic data and whole-genome sequencing data has significantly developed in the previous ten years. This information will help to improve precision medicine and preventive care efforts.
Lin did point out, however, that the collecting of genome sequencing data generates a lot of data for each patient. Genome data is accessible, effectively maintained, and quickly evaluated thanks to the usage of biobanks. The biobank’s data can also be utilized to diagnose other persons with the same ailment and develop prevention efforts, resulting in better community health.
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