Accelerating digital innovation in clinical neuropsychology: simulation approach to support medical device certification [0.03%]
促进临床神经心理学的数字创新：支持医疗器械认证的模拟方法
Andrea Panzavolta,Federico Sternini,Paolo Caffarra et al.
Andrea Panzavolta et al.
Background: In recent years, the focus on digitization of neuropsychological procedures in memory clinics has become paramount. Several teleneuropsychology platforms have been developed for testing patients with cognitive...
MATRIX: Mental heAlth diagnostics Through Real time Intelligent unified X-AI attribution reasoning [0.03%]
矩阵：通过实时智能统一X人工智能归因推理进行心理健康诊断
Sweety Ramnani,Kaushik Roy,Amit Sheth
Sweety Ramnani
Escalating prevalence of mental health issues worldwide has created an unprecedented demand for mental healthcare services, yet the shortage of qualified practitioners limits accessibility for countless individuals in need. AI has emerged a...
Perspectives on the use of artificial intelligence in Japan: a focus group interview study of healthcare providers [0.03%]
日本医疗保健提供者的人工智能使用情况透视：焦点小组访谈研究
Atsushi Kogetsu,Kazuto Kato,Beverley Anne Yamamoto
Atsushi Kogetsu
Introduction: The integration of artificial intelligence (AI) into healthcare is accelerating, raising important questions regarding its implications for clinical practice and the roles of healthcare providers (HCPs). Des...
Using voice and speech data in healthcare: a scoping review of the ethical, legal and social implications [0.03%]
医疗保健中使用语音和语调数据的伦理、法律和社会影响的综述研究
Marie-Françoise Malo,Sarah Bouhouita-Guermech,Hortense Gallois et al.
Marie-Françoise Malo et al.
Human voice and speech, integral to personal identity and social communication, are increasingly used as biometric and digital biomarkers in healthcare. Their collection and analysis, enabled by artificial intelligence, machine learning, an...
Monitoring cognition in multiple sclerosis via adaptive smartphone games-first insights from a validation study [0.03%]
适应性手机游戏在多发性硬化症认知功能评估中的应用及初步研究结果分析
Silvan Pless,Tim Woelfle,Johannes Lorscheider et al.
Silvan Pless et al.
Cognitive impairment in Multiple Sclerosis significantly undermines quality of life and working capacity yet despite its high prevalence (30%-75%) it is often neglected. Gamified and adaptive smartphone tests have great potential to assess ...
Extending BEHRT to UK Biobank: assessing transformer model performance in clinical prediction [0.03%]
扩展BEHRT以适应英国生物银行：评估变压器模型在临床预测中的表现
Yusuf Yildiz,Goran Nenadic,Meghna Jani et al.
Yusuf Yildiz et al.
Introduction: Transformer-based models have shown strong potential for clinical prediction using electronic health record data, yet their performance can vary depending on modelling decisions and data characteristics. ...
Xing Hu,Zhimin Wei,Meilin Liu et al.
Xing Hu et al.
This mini review investigates the applications of digital therapeutics (DTx) and artificial intelligence (AI) in geriatric cardiovascular emergency care. Key elements include AI-driven biosensing for real-time risk stratification, blockchai...
Tests of large language models' medical competence and application for clinical decision support of musculoskeletal rehabilitation [0.03%]
大型语言模型的医学能力测试及其在肌肉骨骼康复临床决策支持中的应用
Ruikang Liu,Qiaoling Liu,Qiang Hu et al.
Ruikang Liu et al.
Objective: Large language models (LLMs) are currently abundant and diverse, yet clinicians lack clarity on top performers, with uncertainty about general LLMs' expertise in musculoskeletal rehabilitation. This study aims ...
A two-armed pragmatic randomized controlled trial comparing the effectiveness of two self-compassion interventions at reducing perceived stress [0.03%]
一项务实的随机对照试验：比较两种自我同情干预措施在降低感知压力方面的效果
Lina S Kalon,Leif Boß,Carmen Wiencke et al.
Lina S Kalon et al.
Introduction: A lack of self-compassion has been found to be associated with stress and a variety of psychological disorders. Interventions aimed at fostering self-compassion have been proposed as a promising approach to ...
Physiologic phenotypes in blunt thoracic aortic injury: implications for risk stratification and surgical decision-making using machine learning [0.03%]
机器学习在钝性胸主动脉损伤生理分型中的应用：预测手术适应证及预后的价值研究
Phillip D Jenkins,Michael R Kolesnikov,Shelby Willis et al.
Phillip D Jenkins et al.
Introduction: Blunt thoracic aortic injury (BTAI) is rare but highly lethal. Despite advances such as thoracic endovascular aortic repair (TEVAR), management remains challenging due to heterogeneous physiologic presentati...