Future Surgeon’s Post

AI in Healthcare— with great Power should come great Responsibility! Came across an insightful article in the June 2024 issue of #DMFR that compares four commonly used LLM-based chatbots ( ChatGPT #ChatGPTPlus #Bard and #BingChat) with dental students. The models exhibited subpar performance in oral and maxillofacial #radiology, especially in areas requiring specialized knowledge. The article highlights low accuracy and frequent “ #AIHallucinations,” pushing me to explore further due to the serious implications for Radiology and Image models in Healthcare. AI Hallucinations— when AI models, especially #LLMs generate false or misleading information and present it as factual! 🔎 Causes: 1. Incomplete or biased training data— lack of comprehensive data sets when training models. 2. Lack of contextual understanding— lack of cognitive abilities that radiologists possess 3. Overfitting: memorizing specific patterns rather than generalizing effectively 4. Mismatched training data: using models trained on adult images for pediatric cases. 5. Insufficient quality control 🌡️ Effects: In radiology, AI hallucinations could potentially result in: 1. False positives or negatives in diagnosis. 2. Inaccurate reports or interpretations of radiological findings, potentially misleading healthcare professionals. 3. Inaccurate recommendations for treatment or further testing based on hallucinated information. 4. Undermine the trust of radiologists and patients in AI-assisted diagnostic tools. 🎯 Solution: To mitigate these risks, it's crucial to: 1. Implement robust validation processes 2. Maintain human oversight 3. Constantly monitor and update AI models used in Radiology and other aspects of Healthcare Radiologists should be trained to critically evaluate AI-generated outputs and cross-reference them with their expertise and other diagnostic tools. While AI has great potential to enhance radiology practice, the risk of hallucinations emphasizes the importance of using these as an adjunct to human decision making, rather than standalone diagnostic systems. Note: The study was conducted between April and September 2023. AI models have since undergone developments, updates and increasing healthcare adoption, however, the impact of AI hallucinations in Radiology and Patient Care should remain an area of continuous exploration, research, and development. #ResponsibleAI #Compliance #Healthcare #AI4good #GenAI #Radiology OpenAI 🔑 Sources: https://lnkd.in/gFApVazv https://lnkd.in/gC_dSRBW https://lnkd.in/gZ-zwAQg https://lnkd.in/g5cUHaiM Perplexity

👉🏼 AI Versus MD: Evaluating the surgical decision-making accuracy of ChatGPT-4 🤓 Deanna L Palenzuela https://lnkd.in/eaDrZgXG 🔍 Focus on data insights: - ChatGPT-4 scored an average of 39.6 points (79.2%), outperforming junior residents. - Senior residents and attendings had similar scores to ChatGPT-4 in surgical decision-making scenarios. 💡 Main outcomes and implications: - ChatGPT-4 demonstrated superior performance compared to junior residents in identifying correct operations and recommending postoperative workup. - Large language models like ChatGPT show promise as educational tools for developing surgical decision-making skills. 📚 Field significance: - Advancements in AI technology, particularly large language models, offer potential benefits in surgical education and decision-making processes. 🗄️: #surgery #AI #decisionmaking #ChatGPT-4

👉🏼 The Performance of ChatGPT on the American Society for Surgery of the Hand Self-Assessment Examination 🤓 Sebastian D Arango 👇🏻 https://lnkd.in/e9Hja8uv 🔍 Focus on data insights: - GPT-4 provided significantly more correct answers overall compared to GPT-3.5 - GPT-4 outperformed GPT-3.5 on the 2022 SAE, especially on more difficult questions 💡 Main outcomes and implications: - GPT-4 demonstrated improved performance over GPT-3.5 on the ASSH SAE - Actual examinees scored higher than both versions of ChatGPT, but the margin was cut in half by GPT-4 📚 Field significance: - Enhanced performance of GPT-4 suggests advancements in AI capabilities for educational tools 🗄️: [#datainsights #AI #education #performanceanalysis]

👉🏼 The Potential of ChatGPT for High-Quality Information in Patient Education for Sports Surgery 🤓 Ali Yüce 👇🏻 https://lnkd.in/eBKXkqCQ 🔍 Focus on data insights: - ChatGPT provided an average DISCERN score of 44.75 points and an average SSSS score of 13.3 points. - Interclass correlation coefficient analysis showed excellent agreement between observers (0.989; p < 0.001). 💡 Main outcomes and implications: - ChatGPT shows potential for high-quality patient education in sports surgery-related diseases. - The tool can offer reliable and informative content for patients seeking information on sports surgery. 📚 Field significance: - Integration of ChatGPT in patient education can enhance the accessibility and quality of information in the field of sports surgery. - Utilizing AI tools like ChatGPT can improve patient understanding and engagement in their treatment plans. 🗄️: [#AI #PatientEducation #SportsSurgery #ChatGPT #DataInsights]

Today the most important article in chatgpt and "ChatGPT's Performance on the Hand Surgery Self-Assessment Exam: A Critical Analysis" - ChatGPT's performance on self-assessment exams from 2004 to 2013 was analyzed. - ChatGPT answered 36.2% of questions correctly, performing better on text-only questions than image-based ones. - Despite its highest score of 42% in 2012, it would not have met the criteria for continuing medical education credit. - Clinical relevance suggests caution in using ChatGPT due to its lack of proficiency in hand subspecialty knowledge. #AI #MedicalEducation #ChatGPT

AI Tool Predicts Surgical Outcomes: Advancement in Medical Technology #MedicalAI 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Researchers at Cedars-Sinai, Stanford University, and Columbia University have developed an AI tool that predicts patient outcomes after surgeries using pre-operative EKGs. The tool can classify patients as low or high risk, with those flagged as high risk being nearly nine times more likely to experience post-operative mortality. The AI model could potentially refine decision-making about surgical interventions and revolutionize the way medical professionals approach risk assessment and surgical interventions. The team is exploring the creation of a web application to make the AI tool more accessible to physicians and patients. Hashtags: #chatGPT #MedicalTechnologyAdvancement #SurgicalOutcomePrediction

Navigating how to leverage AI safely in Healthcare? John Schieszer with Renal & Urology News shares some physician perspectives. Recent discussions on the integration of Large Language Models (LLMs) like ChatGPT in healthcare raise crucial questions about their role and the associated risks. A key insight from Stanford experts highlights the potential malpractice risks linked with LLM usage in medical decision-making. While these models, including ChatGPT, offer new avenues for brainstorming and diagnostic perspectives, they are not without their challenges. The risk, as noted by Dr. Nigam Shah, arises when LLMs suggest nonstandard recommendations that clinicians might follow, potentially leading to malpractice issues. At Emano Flow our goal is to ensure that any AI/ML solution complements clinical judgement and expertise to empower providers rather than replace. #ai #llm #chatgpt #healthtech #medicalethics

👉🏼 ChatGPT: May Help Inform Patients in Dental Implantology 🤓 Elif Çoban 👇🏻 https://lnkd.in/egVvTe_B 🔍 Focus on data insights: - The study evaluated the quality of responses provided by Chat Generative Pre-trained Transformer (ChatGPT) to patient questions in dental implantology. - Responses were independently assessed by different groups of dental professionals using the Global Quality Scale (GSQ). 💡 Main outcomes and implications: - The overall mean GSQ score was 3.87±0.29, indicating a moderate level of response quality. - ChatGPT may contribute to educating patients about dental implants and treatment procedures. - Concerns were raised about potential bias exhibited by ChatGPT regarding dental implant brands, which could impact patient guidance. 📚 Field significance: - This study highlights the potential of artificial intelligence, specifically ChatGPT, in patient education within the field of dental implantology. - It emphasizes the importance of ensuring unbiased information dissemination to patients for informed decision-making. 🗄️: [#dentalimplantology #AI #patienteducation #bias]

👁️ AI is much better than non-specialist doctors at assessing eye problems and providing advice, Cambridge researchers have found. GPT-4 could triage patients and decide which ophthalmology issues are emergencies that need immediate attention. It could also be useful for providing eye-related advice, diagnosis, and management suggestions in places where access to specialist healthcare professionals is limited. The researchers, led by Arun Thirunavukarasu, say that large language models aren’t likely to replace healthcare professionals, but have the potential to improve healthcare. #AI #Opthamology #GPT4 #Cambridge #CambridgeUniversity #UniversityOfCambridge

This study showed that GPT-4 was almost as good as experienced ophthalmologists in answering exam questions. Correctly answering exam questions isn't the same as being a good doctor, but it is a really encouraging first step and shows the enormous potential for adapting LLMs for use in specialist settings... particularly when GPT-4 hadn't had any specialist training. With such training and consideration for impacts on clinical workflows, LLM-based tools could well have a future role in mitigating the shortages in eyecare professionals.