Nick Tarazona, MD’s Post

👉🏼 ChatGPT and the German board examination for ophthalmology: an evaluation 🤓 Rémi Yaïci 👇🏻 https://lnkd.in/esUFm49y 🔍 Focus on data insights: - ChatGPT 4.0 passed the board examination in 12 out of 15 topics. - Overall performance showed 53.3% completely correct answers. - Results varied across topics, with uveitis and lens/cataract scoring 100% while optics and refraction scored 20%. 💡 Main outcomes and implications: - ChatGPT's ability to pass a specialist examination in ophthalmology is noteworthy. - Performance variability across topics highlights limitations for clinical practice. - Thematic fit and internal coherence of answers were generally high. 📚 Field significance: - AI applications like ChatGPT show promise in medical education and assessment. - Further refinement needed to ensure consistent and accurate performance in clinical settings. 🗄️: [#ophthalmology #AI #medicalassessment #ChatGPT]

👉🏼 Assessing the Potential Role of Artificial Intelligence in Medication-Related Osteonecrosis of the Jaw Information Sharing 🤓 Elif Çoban 👇🏻 https://lnkd.in/gqT3Efr8 🔍 Focus on data insights: - The study evaluated the quality of patient information using the Chat Generative Pretrained Transformer (ChatGPT) artificial intelligence model. - Responses were assessed by oral and maxillofacial surgeons using the Global Quality Scale (GQS). - Different question types were categorized to analyze the responses' quality. 💡 Main outcomes and implications: - The average score for all questions was 3.9 ± 0.8, indicating moderate quality of responses. - The AI model provided moderate-quality responses across various question categories. - The study suggests that AI can help patients understand medication-related osteonecrosis of the jaw (MRONJ). 📚 Field significance: - AI can play a crucial role in providing accurate and useful information to patients about MRONJ. - Assessing AI-generated responses can aid in improving patient education and understanding of complex medical conditions. 🗄️: [#ArtificialIntelligence #Medication #Osteonecrosis #Jaw #PatientEducation]

👉🏼 Performance of ChatGPT on Solving Orthopedic Board-Style Questions: A Comparative Analysis of ChatGPT 3.5 and ChatGPT 4 🤓 Sung Eun Kim 👇🏻 https://lnkd.in/eXCpfBgQ 🔍 Focus on data insights: - 📊 ChatGPT 3.5 achieved a correct answer rate of 37.5%, while ChatGPT 4 improved this significantly to 60.0%. - 🔍 The study analyzed 160 orthopedic board-style questions, categorized into 11 subcategories, highlighting the models' performance across different topics. - ⚖️ Inconsistency rates were notably high for ChatGPT 3.5 at 47.5%, compared to just 9.4% for ChatGPT 4, indicating improved reliability in the latter. 💡 Main outcomes and implications: - 🏆 ChatGPT 4 demonstrated superior accuracy, suggesting its potential utility in educational settings for medical training. - ⚠️ Despite improvements, the presence of misleading explanations and inconsistencies necessitates careful consideration before clinical application. - 📚 The findings underscore the importance of ongoing evaluation of AI tools in medicine to ensure their safe and effective use. 📚 Field significance: - 🌐 The research contributes to the growing body of evidence regarding the role of artificial intelligence in medical education and practice. - 🔬 It highlights the need for further studies to refine AI models for better accuracy and consistency in medical contexts. - 🧠 The results may influence how educators integrate AI tools into curricula, emphasizing the balance between technology and traditional learning methods. 🗄️: [#artificialintelligence #ChatGPT #orthopedics #medicaleducation #AIinmedicine #accuracy #inconsistency #clinicalapplication]

👉🏼 Caution Regarding ChatGPT's Appropriateness and Reliability Regarding Surgery for Wrist Arthritis 🤓 Keegan Hones 👇🏻 https://lnkd.in/ga5-NGXa 🔍 Focus on data insights: - 📊 75% of responses from ChatGPT were rated as "appropriate," indicating a high level of accuracy in the information provided. - 🔄 The intraclass correlation coefficient (ICC) was 0.97, demonstrating excellent reliability across multiple evaluations. - 📚 The DISCERN score of 60 suggests that the quality of information is good, but there is room for improvement. - 📝 Readability assessments showed a Flesch-Kincaid Grade Level of 14.6, indicating that the content is suitable for a college-level audience. 💡 Main outcomes and implications: - ⚖️ The variability in reliability across different procedures highlights the need for careful evaluation of AI-generated medical information. - 🔍 While some answers were factually correct, many responses lacked specificity, which may limit their practical application in clinical settings. - 🚧 Users must approach AI-generated content with caution, understanding its limitations and potential for generic responses. 📚 Field significance: - 🌐 The findings underscore the importance of integrating AI tools like ChatGPT into medical practice while maintaining critical oversight. - 🏥 This study contributes to the ongoing discourse about the role of AI in healthcare, particularly in patient education and decision-making. - 🔗 It emphasizes the necessity for further research to enhance the accuracy and specificity of AI-generated medical information. 🗄️: [#ChatGPT #AIinHealthcare #WristArthritis #MedicalAccuracy #PatientEducation #Reliability #DataInsights]

The Rise of AI for Medical Text (Over)Simplification A recent study in European Radiology explored the use of large language models like ChatGPT for simplifying radiology reports, revealing potential benefits and challenges. The adoption of ChatGPT can change patient-doctor dynamics, requiring careful examination of its impact on report quality and patient safety. While ChatGPT shows proficiency in understanding basic medical content, it also exhibits limitations including factual errors and misinterpretations in a significant number of reports. This highlights the need for careful implementation and refinement for accurate medical communication. Despite potential risks, such as patient confusion and inaccuracies, the use of AI like ChatGPT carries transformative potential. With careful oversight and refinement, it could revolutionize patient communication, fostering a shift towards patient-centered care and making radiology reports more accessible. So the crucial radiologists' role is navigating the confluence of AI and radiology - take advantage of the technology transformation! #Radiology #AIinRadiology #EmpoweringRadiology #AIinMedicine #MedicalTextSimplification #RadiologyRevolution #ChatGPTinHealthcare #PatientCenteredAI #MedicalCommunication https://lnkd.in/d2juR_av

👉🏼 Evaluating the strengths and limitations of multimodal ChatGPT-4 in detecting glaucoma using fundus images 🤓 Saif Aldeen AlRyalat 👇🏻 https://lnkd.in/gSVge9Uh 🔍 Focus on data insights: - ChatGPT-4 demonstrated an accuracy of 90% with a 95% confidence interval. - The sensitivity was found to be 50%, while the specificity was 94.44%. - Precision was recorded at 50%, and the F1 Score was 0.50. 💡 Main outcomes and implications: - ChatGPT-4 achieved high diagnostic accuracy without prior fine-tuning on CFPs. - Advanced AI techniques like LLMs may require less data for training, potentially saving time and financial resources. - Development of innovative tools to support specialized medical care, especially in fields dependent on multimodal data for diagnosis and follow-up. 📚 Field significance: - Glaucoma detection using AI models like ChatGPT-4 can enhance diagnostic accuracy and efficiency in ophthalmology. - Utilizing advanced AI techniques in medical fields can lead to improved patient care and resource utilization. 🗄️: [#glaucoma #AI #diagnosticaccuracy #ophthalmology #multimodaldata]

👉🏼 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

🤖 Many of us are hooked on AI through tools like ChatGPT and advanced smartphone features. 👾 But are we truly aware of the growing impact of AI in surgical care? Do surgeons understand the potential role of AI? Are they troubled by it or intrigued? 🚀 Organizations like EAES and SAGES are leading the way by promoting educational events on AI research for the surgical community. 🩺 Join us in shaping the future of surgical AI! Share your insights by taking a quick 10-minute anonymous survey. Your input will help assess surgeons' awareness, expectations, and involvement with surgical AI. Plus, gain free access to curated lessons on AI in surgery! Please find the survey at the following link https://lnkd.in/dyx5krr6 or scan the QR Code #SurgicalAI #HealthcareInnovation #SurgeonSurvey #AIInHealthcare #EAES #SAGES #CAMMA

why my neurotransmitters are imbalance after pillar cyst operations There are several reasons why your neurotransmitters may be imbalanced after a pillar cyst operation. Some possible reasons include: 1. Surgical trauma: The surgical procedure itself can cause physical trauma to the brain and nervous system, which can disrupt the delicate balance of neurotransmitters. 2. Medications: You may have been given medications during or after the surgery that can affect your neurotransmitter levels. This can include anesthesia, painkillers, and antibiotics. 3. Stress: Surgery can be a stressful experience, which can lead to an increase in the production of stress hormones such as cortisol. This can disrupt the balance of neurotransmitters in the brain. 4. Inflammation: The body's natural response to surgery is inflammation, which can also affect neurotransmitter levels. Inflammation can cause an increase in the production of certain neurotransmitters, while decreasing the production of others. 5. Disruption of the blood-brain barrier: The blood-brain barrier is a protective layer that regulates the passage of substances from the blood into the brain. Surgery can disrupt this barrier, allowing substances to enter the brain that can affect neurotransmitter levels. It is important to talk to your doctor about any changes in your mood or behavior after surgery, as they may be able to provide treatment or support to help rebalance your neurotransmitters. Download Now Cloud AI | ChatGPT https://lnkd.in/d-sNxub5 #cloudai #cloudaichatgpt #cloudaiofficial #ChatGPT #OpenAI #LanguageModel #NLP #AI #MachineLearning #DeepLearning #GPT #LanguageGeneration #LanguageUnderstanding

👉🏼 Application of generative language models to orthopaedic practice 🤓 Jessica Caterson https://lnkd.in/gpD_VQwT 🔍 Focus on data insights: - Large language models (LLMs) like GPT-3 and ChatGPT can write clinical letters and predict management plans for orthopaedic scenarios. - Readability and accuracy of generated content were assessed using various metrics. - ChatGPT produced more accurate letters and management plans compared to GPT-3. 💡 Main outcomes and implications: - LLMs are effective in generating clinical letters with minimal prompting. - Readability and accuracy of the generated content are mostly satisfactory but not consistent. - Healthcare-specific language models could enhance clinicians' efficiency by summarizing large volumes of data into clinical letters. 📚 Field significance: - Application of LLMs in orthopaedic practice can streamline documentation processes. - Potential for improved communication and information synthesis in healthcare settings. 🗄️: #orthopaedics #language_models #data_insights #healthcare_efficiency