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Delivering responsible AI in the healthcare and life sciences industry

IBM Journey to AI blog

5 key steps to make sure generative AI supports the communities that it serves The use of generative AI in the healthcare and life sciences (HCLS) field requires the same kind of institutional innovation that the FDA required during the Elixir Sulfanilamide disaster. Outputs for these high-risk models should offer test-retest reliability.

AI 81
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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning Blog

In 2021, the pharmaceutical industry generated $550 billion in US revenue. Overall, $384 billion is projected as the cost of pharmacovigilance activities to the overall healthcare industry by 2022. These events can be reported anywhere, from hospitals or at home, and must be responsibly and efficiently monitored.

AWS 101
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Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake

AWS Machine Learning Blog

Randheer is passionate about AI/ML and its application within HCLS industry. Rafael has a passion to build, and his expertise in security, storage, networking, and application development has been instrumental in helping customers move to the cloud securely and fast. Randheer Gehlot is a Principal Customer Solutions Manager at AWS.

AWS 70
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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 74
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Automatically generate impressions from findings in radiology reports using generative AI on AWS

AWS Machine Learning Blog

She is passionate about using technology to transform the healthcare industry to drive better patient care outcomes. Ekta Walia Bhullar , PhD, is a senior AI/ML consultant with AWS Healthcare and Life Sciences (HCLS) professional services business unit.

AWS 115
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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository. HCLS use case.

AWS 70
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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

About the authors Ekta Walia Bhullar , PhD, is a senior AI/ML consultant with AWS Healthcare and Life Sciences (HCLS) professional services business unit. She is passionate about using technology to transform the healthcare industry to drive better patient care outcomes. As we analyzed deeper, hallucinations were observed occasionally.

AI 104