Taipei Medical University’s Post

✅I am proud to inform you of the publication of our recent article aimed to evaluate the #accuracy and #completeness of ChatGPT's responses to common public questions about #acne, focusing on its potential in continuing medical education. ✅Responses from ChatGPT version 4.0 were assessed using the #EQIP tool by a panel of dermatologists, who rated the correctness and identified inaccuracies, noting an overall positive performance (87.1% correct). ✅Despite its strengths, the study highlighted several inaccuracies in ChatGPT's responses, including misidentification of conditions and insufficient detail on treatments and complications, emphasizing the risks of relying solely on AI for medical information. Journal of the European Academy of Dermatology and Venereology #JEADV #chatgpt #dermatology #acne 🔗https://lnkd.in/d8hV5mJp Authors: Vincenzo Bettoli, luigi naldi, Eugenio Santoro, Maria Rosa Valetto, Anna Bolzon, Fortunato Cassalia, #SimoneCazzaniga, Sergio Cima, #AndreaDanese, Silvia Emendi Monica Maria Giulia Ponzano, Nicoletta Scarpa, #PietroDri Istituto Mario Negri #ZADIG Zadig srl Società Benefit

👉🏼 Pediatric dermatologists versus AI bots: Evaluating the medical knowledge and diagnostic capabilities of ChatGPT 🤓 Charles Y Huang 👇🏻 https://lnkd.in/ensy9x7T 🔍 Focus on data insights: - Human pediatric dermatology clinicians generally outperformed both ChatGPT iterations - ChatGPT-4.0 demonstrated comparable performance in some areas 💡 Main outcomes and implications: - Potential of AI tools in aiding clinicians with medical knowledge and decision-making - Emphasizes the need for continual advancements and clinician oversight in using such technologies 📚 Field significance: - Evaluating AI's role in pediatric dermatology - Balancing AI capabilities with human expertise 🗄️: [#pediatricdermatology #AIbots #medicalknowledge #decisionmaking #clinicianoversight]

👉🏼 Ethical Considerations for Artificial Intelligence in Dermatology: A Scoping Review 🤓 Emily R Gordon 👇🏻 https://lnkd.in/euiSVqk7 🔍 Focus on data insights: - AI applications in dermatology are rapidly increasing, from skin cancer detection to language models like ChatGPT. - Ethical concerns arise regarding misdiagnosis, data security, privacy violations, and job displacement of dermatologists. 💡 Main outcomes and implications: - Limited representation of skin of color in datasets may lead to potential misdiagnosis in the general population. - Teledermatology raises ethical concerns such as health disparities, lack of regulations, informed consent for AI use, and privacy challenges. - Patients prefer supplemental assessment by a physician to ensure reliability and accountability of AI responses. 📚 Field significance: - Integration of AI in dermatology enhances patient access, clinical decision-making, and efficiency. - Safeguards are necessary to ensure ethical applications of AI in dermatology. 🗄️: #AI #Dermatology #EthicalConsiderations #DataInsights

📰 Publication 📰 Epidermal renewal during the treatment of atopic dermatitis lesions: A study coupling line‐field confocal optical coherence tomography with artificial intelligence quantifications. #Dermatologists, interested in new ways to assess atopic dermatitis (AD)? 🤔 A new study published in Skin and Research Technology with Wiley sheds light on the potential of Line-field Confocal Optical Coherence Tomography (LC-OCT) combined with artificial intelligence (#AI) to quantify epidermal changes in AD : ➡︎ The non-invasive LC-OCT #imaging technique 🖼️ was used to visualize and measure epidermal characteristics in acute and chronic AD lesions compared to healthy skin. ➡︎ AI-based quantification: Algorithms 🤖 analyzed LC-OCT images to extract data 📊 on epidermal thickness, dermo-epidermal junction morphology, and keratinocyte nuclei organization, including a novel “nuclei atypia” parameter. ➡︎ Findings: AD lesions displayed significant differences 📈 compared to healthy skin across all measured parameters. Treatment with topical steroids over two weeks led to a normalization of these parameters. ✅ 🟰 LC-OCT and AI allow to objectively quantify epidermal renewal in AD, offering valuable data for understanding disease mechanisms and treatment responses. 💡 🤝This research is the result of a collaboration between L'Oréal #Advancedresearch, the Dermatology Department of Hôpital St Louis Greater Paris University Hospitals - AP-HP, and the INSERM U976 Unit at Université Paris Cité Heiva Le Blay, Edouard Raynaud, Sonia Bouayadi, ELODIE RIEUX, Géraldine ROLLAND, @Anne Saussine, @Marie Jachiet, Jean-David Bouaziz, Barbara Lynch Access the full publication here: https://lnkd.in/gybDsHux

👉🏼 Assessing the Impact of ChatGPT in Dermatology: A Comprehensive Rapid Review 🤓 Polat Goktas 👇🏻 https://lnkd.in/eydA7iyD 🔍 Focus on data insights: - 📊 ChatGPT has demonstrated significant effectiveness in passing dermatology specialty exams, indicating strong knowledge retention and application in common conditions. - 🩺 Responses to patient queries about common dermatological issues were reliable, showcasing the model's potential for patient education. - ⚖️ Ethical challenges, such as data privacy concerns and algorithmic bias, were highlighted as critical barriers to broader adoption. 💡 Main outcomes and implications: - 🏥 The integration of ChatGPT in dermatology could enhance patient interactions, but must complement rather than replace human expertise. - 🔍 There is a necessity for ongoing research to improve the model’s diagnostic accuracy, particularly for complex dermatological conditions. - 📜 Development of transparent ethical guidelines is crucial for the responsible use of AI in clinical settings. 📚 Field significance: - 🌐 The study illustrates the transformative potential of AI in healthcare, particularly in communication and education. - 🔬 Insights from the research could inform future innovations in teledermatology and AI-driven patient support systems. - 🚀 The findings encourage further exploration into the role of AI in enhancing clinical workflows, aiming for improved patient outcomes. 🗄️: [#AI #ChatGPT #Dermatology #PatientEducation #Teledermatology #Ethics #ClinicalPractice #HealthcareInnovation]

👉🏼 ChatGPT and dermatology 🤓 Michela D'Agostino 👇🏻 https://lnkd.in/eguXJ6jd 🔍 Focus on data insights: - 📊 The review analyzed 20 manuscripts, highlighting diverse applications of ChatGPT in dermatology. - 🧠 Insights reveal that AI can enhance clinical decision-making and patient engagement. - 🔄 Data indicates a growing trend in integrating AI tools for improved healthcare delivery. 💡 Main outcomes and implications: - 🌟 ChatGPT demonstrates potential in streamlining patient support and education. - ⚕️ The findings suggest that AI can assist dermatologists in diagnostics and treatment planning. - 📈 The integration of AI tools like ChatGPT may lead to more personalized patient care. 📚 Field significance: - 🔬 The intersection of AI and dermatology signifies a transformative shift in medical practice. - 🌐 As AI evolves, its role in enhancing healthcare accessibility and efficiency becomes increasingly vital. - 🏥 The study underscores the importance of ongoing research in AI applications within medicine. 🗄️: [#AI #ChatGPT #Dermatology #HealthcareInnovation #PatientEngagement #ClinicalDecisionMaking #MedicalAI] <div><p style="color: #4aa564;">Ital J Dermatol Venerol. 2024 Jul 23. doi: 10.23736/S2784-8671.24.07928-3. Online ahead of print.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="https://lnkd.in/e4qekF8F" xmlns:mml="https://lnkd.in/e6YPmrut" xmlns:p1="http://pubmed.gov/pub-one">Since the development of the artificial intelligence (AI), several applications have been proposed. Among these, the intersection of AI and medicine has sparked a wave of innovation, revolutionizing various aspects of healthcare delivery, diagnosis, and treatment. A review of the current literature was performed to evaluate the possible applications of ChatGPT (OpenAI, San Francisco, CA, USA) in the dermatological field. A total of 20 manuscripts were collected in the present review, reporting several potential applications of ChatGPT in dermatology, ranging from clinical practice to patients' support. The convergence of ChatGPT and dermatology represents a compelling synergy that transcends traditional boundaries of healthcare delivery. As AI continues to evolve and permeate every facet of medicine, ChatGPT stands at the forefront of innovation, empowering patients and clinicians alike with its conversational prowess and knowledge dissemination capabilities.</p><p style="color: lightgray">PMID:<a href="https://lnkd.in/eguXJ6jd">39039954</a> | DOI:<a href=https://lnkd.in/eHVMBNFK</a></p></div>

🚨Publication alert! Together with our co-authors from University Medical Center Mainz, Yale University School of Medicine and Bangalore Medical College and Research Institute, we have published results of a study at the intersection of dermatology and artificial intelligence in the Journal of the American Academy of Dermatology (JAAD). 🔬Our research focuses on the synergies between human and artificial intelligence in dermatological diagnostics. In a 2-session retrospective reader study, 64 physicians evaluated a challenging set of 100 dermoscopic images, first without and then with AI support. With AI support, sensitivity and specificity improved across all physician groups, demonstrating the added value of AI in challenging clinical presentations. 💡The AI deployed in the study was trained with over 28,000 well-curated images from Aigora GmbH. If you're interested in accessing data of research-proven quality for your AI developments – be it in dermatology or any other speciality, reach out to us! 📄For more insights, access the full publication here: https://lnkd.in/e-8Z4jjm Mohamad Goldust Stephan Grabbe Stephan Rietz Christian Ludwigs Dominik Seliger Priyanka Karagaiah #collaboration #healthcare #dermatology #skincancer #medicaldata #ai #medicalimaging

👉🏼 Can large language models provide secondary reliable opinion on treatment options for dermatological diseases? 🤓 Usman Iqbal 👇🏻 https://lnkd.in/eZV_sv4A 🔍 Focus on data insights: - ChatGPT achieved a high 98.87% dermatologist approval rate for common dermatological medication recommendations. - Evaluation of drug suggestions using the Q-value showed that human expert validation agreement surpassed Q-value cutoff-based agreement. - Varying cutoff values for disease-medication associations, with different accuracies based on the cutoff value. 💡 Main outcomes and implications: - ChatGPT provides medication recommendations as a second opinion in dermatology treatment. - Reliability and comprehensiveness of ChatGPT's recommendations need refinement for greater accuracy. - Integration of a medical domain-specific knowledge base for training and ongoing optimization can enhance the precision of ChatGPT's results. 📚 Field significance: - Potential for ChatGPT to offer valuable second opinions in patient treatment decisions. - Importance of refining AI models for accuracy and reliability in medical applications. - Need for ongoing optimization and integration of domain-specific knowledge bases for improved precision in AI-generated recommendations. 🗄️: #dermatology #AIrecommendations #medicalinformatics

We will be at Vitalis, the largest eHealth event in Scandinavia from May 13-16 in Gothenburg, Sweden. Listen to Dr Börve present ground-breaking clinical research results using AI in a primary care practice setting. You can read about his talk that will include clinical research and where dermatology AI will be in the next 12 months on the global stage. #dermatology #artificialintelligence #research #digitalhealth #telehealth #ehealth #vitalis