Diagnostic probability change across follow-up: a Bayesian EHR cohort study in psychiatry [0.03%]
基于电子健康记录的精神病学人群的 Bayesian 随访诊断概率变化研究
Yu Chang,Si-Sheng Huang,Wen-Yu Hsu et al.
Yu Chang et al.
Objectives: Diagnosis is often interpreted through a Bayesian lens as a point-in-time update from prior to posterior probability after new clinical evidence. In routine care, however, diagnostic evidence may accumulate ac...
Intraloop neoangiogenesis in an AI-classified scleroderma pattern: recognizing a morphological clue to suspected dermatomyositis [0.03%]
sclerosis模式中intraloop新生血管形成：寻找怀疑皮肤肌肉炎的形态线索
Angelo Nigro
Angelo Nigro
Objectives: To describe a diagnostic near miss in AI-assisted nailfold capillaroscopy, illustrating how a correct AI-based classification as an early scleroderma pattern may still lead to diagnostic error if not integrate...
Lessons in clinical reasoning: a case of a boy who continued crying after falling [0.03%]
病例教学：一名摔倒后一直哭啼的患儿
Mizuka Fu,Toshiki Nakamura,Shun Kishibe et al.
Mizuka Fu et al.
Objectives: Diagnostic errors are multifactorial and tend to occur frequently in the emergency department. Pediatric emergency care presents unique challenges, particularly in the evaluation of trauma in preverbal infants...
Accuracy of emergency physicians' probability estimates for acute coronary syndrome [0.03%]
急诊医师急性冠脉综合征概率估计的准确性
Mia Hemborg Kristiansson,Torgny Wessman,Ulf Ekelund
Mia Hemborg Kristiansson
Objectives: Accurate risk assessment is crucial for appropriate management of patients presenting to the emergency department (ED) with chest pain. This study aimed to evaluate how accurately emergency physicians estimate...
Amnon Sonnenberg,Gennadiy Bakis,Anna M Buchner
Amnon Sonnenberg
Using generative AI to support clinical reasoning coaching: a theory-informed approach [0.03%]
基于理论的生成式人工智能在临床推理指导中的应用方法研究
Avneesh Sharma,Jessica J Dreicer,Andrew S Parsons
Avneesh Sharma
Generative artificial intelligence (gen AI) can support and likely enhance clinical reasoning coaching for struggling medical learners when its use is guided by educational theory. We present a conceptual framework, grounded in deliberate p...
Learning from what went right: a Safety-II application of the SIDER protocol to a case of occult breast cancer [0.03%]
善从好事来：用SIDER协议隐性乳腺癌案例分析安乐科技（Safety-II）
Takako Kamei,Yuka Shimada,Yu Shimura et al.
Takako Kamei et al.
Objectives: To analyze how diagnostic success was achieved in a challenging case of occult breast cancer using the SIDER protocol, a structured Safety-II framework for reflecting on successful diagnostic processes. ...
Akiko Kobayashi,Taiju Miyagami,Yuji Nishizaki et al.
Akiko Kobayashi et al.
Objectives: Diagnostic errors occur frequently and significantly affect patient prognosis and medical safety. Nurses, who are closest to patients, are often the first to detect abnormalities. However, owing to insufficien...
Progress in mast cell activation syndrome: the global consensus-2 diagnostic criteria at six years [0.03%]
肥大细胞活化综合征的进展：全球共识-2诊断标准六周年
Lawrence B Afrin,Svetlana Blitshteyn,Linda S Bluestein et al.
Lawrence B Afrin et al.
Since establishment in 2020 of the global consensus-2 diagnostic criteria for mast cell activation syndrome (MCAS), recognition of this prevalent disease, existing alongside rare cutaneous or systemic mastocytosis, has grown significantly. ...
Taro Shimizu,Yukinori Harada,Satoshi Watanuki
Taro Shimizu