Digital Medicine series
Digital Gynecology and Obstetrics: AI, Machine Learning, and Large Language Models
A podcast course on the intersection of technology and clinical gynecology and obstetrics.
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Get updated on the most recent developments in Digital Gynecology and Obstetrics with our unique micro-podcast course designed specifically for medical doctors keen on mastering the intersection of technology and clinical gynecology and obstetrics. This innovative series guides you through the latest advancements in artificial intelligence (AI), machine learning (ML), and large language models (LLMs) as applied in this clinical field.
COURSE FEATURES
Expert-reviewed Podcast Episodes: Listen to expert-reviewed updates on recent AI applications in gynecology and obstetrics and their transformative impacts on diagnostics, decision-making, and patient outcomes.
Latest Scientific Literature (2023-2024): Stay abreast of cutting-edge research as each episode reviews recent scholarly articles, providing you with the most current scientific insights.
Interactive Learning: Test your knowledge and reinforce learning through targeted exam questions at the end of this module, designed to challenge and enhance your understanding.
INTENDED LEARNING OUTCOME
By the end of this course, participants will be equipped with a comprehensive understanding of how AI and machine learning technologies (including large language models such as GPT) can be leveraged in clinical gynecology and obstetrics settings to improve research and patient care. This content has been created in Apr 2024 and is valid until Apr 2027. This course is expect
ed to take 40 minutes.
ACCREDITATION
This course is accredited by the European Accreditation Council for Continuing Medical Education (EACCME®). The participant will receive 0.5 European CME Credits (ECMEC®s) for successful participation in the e-learning activity. Through an agreement between the European Union of Medical Specialists and the American Medical Association, physicians may convert EACCME® credits to an equivalent number of AMA PRA Category 1 Credits™. Information on the process to convert EACCME® credits to AMA credits can be found here.
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ABOUT THE EXPERTDr. Pieter Kubben, MD, PhD (Royal Dutch Medical Association license number 29058752301) is a medical practitioner who has prepared and approved this course material, and will take responsibility for its content. He can be contacted on
neurexplain@gmail.com. This course material will work on all regular and mobile operating systems. For technical support, please contact
info@decisix.nl if needed.
Pieter Kubben has received research grants and consultancy fees (both as unrestricted financial support) from Abbott Inc in the past five years. He is the founder and a shareholder of DecisiX BV (Dutch Chamber of Commerce 77744918). NeuroMindTM is a trade name of DecisiX.
A generative pre-trained transformer (OpenAI GPT version 4 turbo) has been applied for text optimization in these course materials, and the audio files have been recorded using text-to-speech technology. GPT has NOT been involved in literature selection or creating the medical-scientific content for this course. The final course materials have been reviewed by the physician who approved this course after comparison with the original text.
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Enroll now to transform your practice and patient outcomes by harnessing the power of digital innovation in gynecology and obstetrics!
