2024 - Generative AI in Clinical Research: From Data to Patient Cohorts
Date2024-12-11
Deadline2024-12-11
VenueONLINE-VIRTUAL, USA - United States
KeywordsLife Sciences; Clinical Trials; Pharmaceutical
Topics/Call fo Papers
Generative AI is rapidly transforming the landscape of clinical research, offering unprecedented opportunities to streamline processes, enhance efficiency and unlock valuable insights from vast amounts of medical data.
This webinar explores the cutting-edge applications of generative AI in accelerating clinical research, with a specific focus on three critical areas: clinical data abstraction, chart review and building patient cohorts.
As the volume and complexity of clinical data continue to grow, researchers face increasing challenges in extracting meaningful information efficiently. Generative AI technologies are emerging as powerful tools to address these challenges, revolutionizing how data analysis and interpretation is approached in clinical settings.
In this webinar, the speakers will delve into the transformative potential of generative AI across key stages of the clinical research process:
Clinical Data Abstraction:
Automating the extraction of relevant clinical information from diverse sources
Enhancing accuracy and consistency in data collection
Reducing time and resources required for manual data entry
Chart Review:
Leveraging natural language processing to analyze unstructured medical records
Identifying patterns and extracting insights from large volumes of patient data
Improving the speed and precision of chart review processes
Building Patient Cohorts:
Utilizing AI to identify and group patients based on specific criteria
Enhancing the accuracy and efficiency of cohort selection
Enabling more targeted and personalized clinical research studies
The expert speakers will showcase real-world examples and case studies demonstrating how generative AI is being applied in these areas, highlighting both the opportunities and challenges faced by researchers and healthcare professionals. They will explore the latest advancements in AI technologies, including large language models and machine learning algorithms, and discuss their practical implications for clinical research. The attendees will gain insights into:
The current state of generative AI in clinical research
Best practices for implementing AI-driven solutions in research workflows
Ethical considerations and data privacy concerns
Future trends and potential impacts on the field
Register for this webinar to learn how generative AI is revolutionizing clinical research from streamlining data abstraction to building more precise patient cohorts. Don’t miss this opportunity to stay at the forefront of technological advancements in healthcare and research.
Keywords: Patient Data, Clinical Research, Healthcare Data, Clinical Trial Data, Data Analytics, Clinical Data, Data Management, Clinical Data Management, Artificial Intelligence, AI, Data Science
This webinar explores the cutting-edge applications of generative AI in accelerating clinical research, with a specific focus on three critical areas: clinical data abstraction, chart review and building patient cohorts.
As the volume and complexity of clinical data continue to grow, researchers face increasing challenges in extracting meaningful information efficiently. Generative AI technologies are emerging as powerful tools to address these challenges, revolutionizing how data analysis and interpretation is approached in clinical settings.
In this webinar, the speakers will delve into the transformative potential of generative AI across key stages of the clinical research process:
Clinical Data Abstraction:
Automating the extraction of relevant clinical information from diverse sources
Enhancing accuracy and consistency in data collection
Reducing time and resources required for manual data entry
Chart Review:
Leveraging natural language processing to analyze unstructured medical records
Identifying patterns and extracting insights from large volumes of patient data
Improving the speed and precision of chart review processes
Building Patient Cohorts:
Utilizing AI to identify and group patients based on specific criteria
Enhancing the accuracy and efficiency of cohort selection
Enabling more targeted and personalized clinical research studies
The expert speakers will showcase real-world examples and case studies demonstrating how generative AI is being applied in these areas, highlighting both the opportunities and challenges faced by researchers and healthcare professionals. They will explore the latest advancements in AI technologies, including large language models and machine learning algorithms, and discuss their practical implications for clinical research. The attendees will gain insights into:
The current state of generative AI in clinical research
Best practices for implementing AI-driven solutions in research workflows
Ethical considerations and data privacy concerns
Future trends and potential impacts on the field
Register for this webinar to learn how generative AI is revolutionizing clinical research from streamlining data abstraction to building more precise patient cohorts. Don’t miss this opportunity to stay at the forefront of technological advancements in healthcare and research.
Keywords: Patient Data, Clinical Research, Healthcare Data, Clinical Trial Data, Data Analytics, Clinical Data, Data Management, Clinical Data Management, Artificial Intelligence, AI, Data Science
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Last modified: 2024-10-30 05:36:31