Andrew R Tadros,Weipeng Zhuo,Ramie A Fathy et al.
Andrew R Tadros et al.
Evaluating the Diagnostic and Treatment Capabilities of GPT-4 Vision in Dermatology: A Pilot Study [0.03%]
评估GPT-4视觉在皮肤病学中的诊断和治疗能力的试点研究
Abhinav Pillai,Sharon Parappally-Joseph,Jason Kreutz et al.
Abhinav Pillai et al.
Background: The integration of generative artificial intelligence within dermatology presents a new frontier for enhancing diagnostic accuracy and treatment planning. ...
Correction: Evaluating Bard Gemini Pro and GPT-4 Vision Against Student Performance in Medical Visual Question Answering: Comparative Case Study [0.03%]
对“评估Bard Gemini Pro和GPT-4 Vision在医学视觉问题回答中的表现与学生表现的比较案例研究”的更正
Jonas Roos,Ron Martin,Robert Kaczmarczyk
Jonas Roos
Evaluating Bard Gemini Pro and GPT-4 Vision Against Student Performance in Medical Visual Question Answering: Comparative Case Study [0.03%]
巴德双子星专业版和GPT-4视觉与学生在医学视觉问答表现的比较研究：案例研究比较
Jonas Roos,Ron Martin,Robert Kaczmarczyk
Jonas Roos
Background: The rapid development of large language models (LLMs) such as OpenAI's ChatGPT has significantly impacted medical research and education. These models have shown potential in fields ranging from radiological i...
Comparative Study
JMIR formative research. 2024 Dec 17:8:e57592. DOI:10.2196/57592 2024
GPT-4 Vision: Multi-Modal Evolution of ChatGPT and Potential Role in Radiology [0.03%]
GPT-4视觉：ChatGPT的多模态进化及其在放射学中的潜在作用
Ramin Javan,Theodore Kim,Navid Mostaghni
Ramin Javan
GPT-4 Vision (GPT-4V) represents a significant advancement in multimodal artificial intelligence, enabling text generation from images without specialized training. This marks the transformation of ChatGPT as a large language model (LLM) in...
Large language models and dermoscopy: Assessing the potential of task-specific GPT-4 vision in diagnosing basal cell carcinoma [0.03%]
大型语言模型与皮肤镜检查：评估任务特定GPT-4视觉在基底细胞癌诊断中的潜力
Daniele Omar Traini,Gerardo Palmisano,Ketty Peris
Daniele Omar Traini
Performance of GPT-4 with Vision on Text- and Image-based ACR Diagnostic Radiology In-Training Examination Questions [0.03%]
GPT-4视觉模型在基于文本和图像的ACR诊断放射学在培训考试题中的表现
Nolan Hayden,Spencer Gilbert,Laila M Poisson et al.
Nolan Hayden et al.
Background Recent advancements, including image processing capabilities, present new potential applications of large language models such as ChatGPT (OpenAI), a generative pretrained transformer, in radiology. However, baseline performance ...
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine [0.03%]
探究多模态GPT-4在医学领域的专家级准确性的潜在缺陷
Qiao Jin,Fangyuan Chen,Yiliang Zhou et al.
Qiao Jin et al.
Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks. However, these evaluations primarily focused on the accuracy of multi-choice questions alone. Ou...
Correction: Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation [0.03%]
纠正：使用GPT-4视觉的多模态人工智能分类中耳疾病的可能性：定性研究与验证
Masao Noda,Hidekane Yoshimura,Takuya Okubo et al.
Masao Noda et al.
[This corrects the article DOI: 10.2196/58342.]. ©Masao Noda, Hidekane Yoshimura, Takuya Okubo, Ryota Koshu, Yuki Uchiyama, Akihiro Nomura, Makoto Ito, ...
Published Erratum
JMIR AI. 2024 Jul 9:3:e62990. DOI:10.2196/62990 2024
Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation [0.03%]
基于GPT-4视觉的多模态人工智能在中耳疾病分类中的可行性：定性研究与验证
Masao Noda,Hidekane Yoshimura,Takuya Okubo et al.
Masao Noda et al.
Background: The integration of artificial intelligence (AI), particularly deep learning models, has transformed the landscape of medical technology, especially in the field of diagnosis using imaging and physiological dat...
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