Collection
Artificial Intelligence and Machine Learning in Healthcare
Educational content from recorded physician discussions — not medical advice. Always talk to your child's care team about your child's situation.
Content of this collection
When creating AI-generated content and dealing with patient information, it is very important to use local generative AI models instead of large language models that share information externally. — Rami Shaaban, Dr. Ramy Shaaban - Best of the Best in Pediatric Surgery 2025 · 6:59
AI Fundamentals2 items
Artificial Intelligence - Transforming Healthcare, Episode 7, Part 1
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We’re back with another new technology that we believe will transform healthcare. Artificial intelligence… Here’s what you need to know in a nutshell!
Hosts: Em Tombash, MD, Todd Ponsky, MD, Ramy Shaaban MD, PhD
Artificial intelligenc
video · Sep 2022
Dr. Ramy Shaaban - Best of the Best in Pediatric Surgery 2025
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Watch IPEG's Dr. Ramy Shaaban’s presentation on “Embracing the future: the impact and integration of AI, ML, and LLMS in modern healthcare” at the 2025 Best of the Best in Pediatric Surgery event!
Moderators: Drs. Todd Ponsky, Dan von Al
video9:23 · Mar 2025
Machine Learning Essentials1 item
Machine Learning - Transforming Healthcare, Episode 8 Part 1
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We’re back with another new technology that we believe will transform healthcare. Machine learning… Here’s what you need to know in a nutshell!
Hosts: Em Tombash, MD, Todd Ponsky, MD, Ramy Shaaban MD, PhD
Machine learning is a subfiel
video · Sep 2022
AI models help increase efficiency but humans must always be in the equation for medical and scientific work — Rami, Top 10 AI Websites and Tools for Medical Research and Education · 7:12
Top AI Tools for Medical Practice4 items
Top 10 AI Websites and Tools for Medical Research and Education
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This year was the 12th Annual Pediatric Surgery Update Course, where top hospital experts from around the world discussed this yearâs changes in practices and i
podcast23:58 · Jul 2026
Practical applications of generative AI in medical research and education
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This year was the 12th Annual Pediatric Surgery Update Course, where top hospital experts from around the world discussed this yearâs changes in practices and i
podcast23:58 · Jul 2026
2025 Pediatric Surgery Update Course: Top 10 Key Takeaways #9
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In this highlight from the 12th Annual Update Course in Pediatric Surgery, Drs. Ramy Shaaban and Carlos Colunga explore the top AI tools of 2024 and their potential to transform research, training, and clinical workflows.
Key Highlights:
video2:14 · Jul 2026
Update Course 2024 - AI: TOP 10 websites & tools for everyday usage
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This year was the 12th Annual Pediatric Surgery Update Course, where top hospital experts from around the world discussed this year’s changes in practices…
podcast23:58 · Oct 2026
Clinical Applications1 item
Protocol for a global electronic Delphi on integrating artificial intelligence into solid organ transplantation
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Artificial intelligence (AI) is increasingly recognized as a transformative force in the field of solid organ transplantation. From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy, AI
article · Oct 2026
Overlaying CT scans while operating—so surgeons can see tumor anatomy by turning it on or off—will become impactful soon. — Todd Ponsky, 2022 Pediatric Surgery Update Course - Top disruptive technologies in medicine · 12:38
Disruptive AI technologies transforming healthcare and medical education
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This session is on the top disruptive techologies in healthcare with Drs. Em Gootee & Ramy Shaaban.
The 11th Annual Pediatric Surgery Update Course was held on August 29, 2023 in Cleveland, Ohio and was livestreamed to a global audien
video34:52 · Oct 2023
2022 Pediatric Surgery Update Course - Top disruptive technologies in medicine
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In this session, Drs. Ramy Shaaban and Em Tombash guide us through the most disruptive technologies of the last year. What innovations are going on in the world? They explain each one. An amazing trip on what is coming and how the future ma
video26:52 · Jul 2026
Update Course Rewind: Top Disruptive Technologies 2022
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We are back with another Update Course Rewind video. This time we are presenting you “the latest innovations that we believe are transforming healthcare”.
podcast12:29 · Oct 2026
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2025 Pediatric Surgery Update Course: Top 10 Key Takeaways #9
ChatGPT is being used in the research process for systematic review and meta-analysis.
clinicalRamy Shaaban0:14 ↗
When conducting systematic reviews, researchers screen thousands of articles, a process that is intimidating.
clinicalRamy Shaaban0:17 ↗
The prompt used for ChatGPT in systematic reviews asks it to act as a data analyst and screen included articles based on title and abstract from an attached Excel sheet.
Host summaryThe host summarizing the discussion — not the host's own clinical position0:31 ↗
An explanatory column is added to ChatGPT output to explain why each screening decision was made, because the researchers don't trust ChatGPT completely.
clinicalRamy Shaaban0:45 ↗
The ChatGPT systematic review screening approach produces excellent results.
opinionRamy Shaaban0:53 ↗
Jeni AI is an academic model trained with research papers that provides research suggestions when given a problem statement.
clinicalCarlos Colunga1:06 ↗
Jeni AI allows the surgeon user to maintain control by accepting or modifying AI-generated suggestions.
clinicalCarlos Colunga1:17 ↗
Jeni AI's built-in chatbot can provide relevant answers to research topics, cite supporting papers, and format citations according to preferred styles.
Host summaryThe host summarizing the discussion — not the host's own clinical position1:24 ↗
ChatGPT can be used as a personal trainer by uploading a clinical guideline and asking it to create a training session with interactive questions.
clinicalRamy Shaaban1:38 ↗
AI tools are here to stay and clinicians must learn to use them because everyone is using them to increase efficiency and improve day-to-day management.
opinionCarlos Colunga1:59 ↗
Dr. Ramy Shaaban - Best of the Best in Pediatric Surgery 2025
Google's DeepMind AlphaFold is solving one of biology's biggest puzzles by predicting protein structures, helping researchers develop new treatments faster.
clinicalRami Shaaban0:33 ↗
IBM Watson Health analyzes complex patient data to assist doctors in making better decisions.
clinicalRami Shaaban0:33 ↗
AI technologies are not replacing doctors; they are giving them superpowers by accelerating drug discovery, personalizing treatment, and handling administrative tasks more effectively.
opinionRami Shaaban0:33 ↗
Large language models like OpenAI's ChatGPT are changing the way medical professionals access information, providing real-time evidence-based insights, summarizing medical literature, and offering diagnostic suggestions.
clinicalRami Shaaban0:33 ↗
ChatGPT is already being used to assist in clinical decision making, ensuring clinicians have the right information at their fingertips when they need it.
clinicalRami Shaaban0:33 ↗
Machine learning is already being used in diagnostic imaging, helping doctors detect diseases like cancer earlier and more accurately.
clinicalRami Shaaban0:33 ↗
Predictive analytics using machine learning helps forecast health risks, allowing doctors to intervene before problems become severe, resulting in better and more customized care for patients.
clinicalRami Shaaban0:33 ↗
Key ethical questions for AI in healthcare include how to protect patient privacy, ensure AI decisions are fair and unbiased, and keep the human touch in medicine.
opinionRami Shaaban0:33 ↗
AI is a tool, not a replacement for human expertise; continuous education and responsible implementation are key to making AI work for everyone.
opinionRami Shaaban0:33 ↗
Prompt engineering is a rising field; doctors need to understand how to accurately prompt AI to get the best results, treating AI as an assistive tool instead of a competitor.
opinionRami Shaaban0:33 ↗
Generative AI can create content including text, images, audio, and video; tools like ChatGPT, DALL-E, and others are opening new doors in medical education, research, and patient engagement.
clinicalRami Shaaban0:33 ↗
The goal of generative AI is not to replace healthcare professionals but to support them as a brainstorming partner, helping generate ideas and solutions faster.
opinionRami Shaaban0:33 ↗
AI is not here to replace doctors; it is here to assist by processing vast amounts of data in seconds, suggesting diagnoses, summarizing research, and streamlining workflow.
opinionRami Shaaban0:33 ↗
Medicine is about human connection, listening, empathizing, and making complex decisions that require experience and intuition; AI works best when paired with human expertise.
opinionRami Shaaban0:33 ↗
AI is streamlining administrative tasks like clinical documentation; AI can generate patient summaries instantly, saving hours of paperwork and giving healthcare professionals more time to focus on patient care.
clinicalRami Shaaban0:33 ↗
AI, machine learning, and large language models are transforming healthcare by improving diagnosis, personalizing treatment, and making the system more efficient, but they are here to assist, not replace human expertise.
opinionRami Shaaban0:33 ↗
The future of medicine is a collaboration between humans and technology, not just AI-driven.
opinionRami Shaaban0:33 ↗
It is becoming harder to differentiate between AI-generated and human-generated content because AI is getting better.
opinionRami Shaaban6:59 ↗
When creating AI-generated content and dealing with patient information, it is very important to use local generative AI models instead of large language models that share information externally.
opinionRami Shaaban6:59 ↗
Disclosing the AI platform being used and ensuring local data handling are potential solutions to authenticity and security concerns.
opinionRami Shaaban6:59 ↗
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