Exploring the potential of generative artificial intelligence in medical image synthesis: opportunities, challenges, and future directions [0.03%]
探究生成式人工智能在医学图像合成中的潜力：机遇、挑战与未来方向
Bardia Khosravi,Saptarshi Purkayastha,Bradley J Erickson et al.
Bardia Khosravi et al.
Generative artificial intelligence has emerged as a transformative force in medical imaging since 2022, enabling the creation of derivative synthetic datasets that closely resemble real-world data. This Viewpoint examines key aspects of syn...
AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study [0.03%]
人工智能在荷兰全国范围内一项筛查项目中作为独立阅片人在临床相关乳腺癌检出中的作用：回顾性队列研究
Suzanne L van Winkel,Jim Peters,Natasja Janssen et al.
Suzanne L van Winkel et al.
Background: Breast cancer screening programmes have shown to reduce mortality, but current methods face challenges such as limited mammographic sensitivity, limited resources, and variability in radiologist expertise. Art...
The Lancet Digital Health
The Lancet Digital Health
Sebastian Voigtlaender,Thomas A Nelson,Philipp Karschnia et al.
Sebastian Voigtlaender et al.
CNS cancers are complex, difficult-to-treat malignancies that remain insufficiently understood and mostly incurable, despite decades of research efforts. Artificial intelligence (AI) is poised to reshape neuro-oncological practice and resea...
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection [0.03%]
人工智能引导的床旁超声心动图在心肌病检测中的应用
Yumei Wu,Pan Liu,Jiahao Meng et al.
Yumei Wu et al.
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection - Authors' reply [0.03%]
人工智能引导的超声心动图检测心肌病-作者回应
Evangelos K Oikonomou,Rohan Khera
Evangelos K Oikonomou
Early detection of sexually transmitted infections from skin lesions with deep learning: a systematic review and meta-analysis [0.03%]
基于深度学习的皮肤病变性性传播感染的早期检测系统评价和meta分析
Ming Liu,Xin-Yao Yi,Yun-Zhe Chen et al.
Ming Liu et al.
Background: Sexually transmitted infections (STIs) are a substantial public health concern. We aimed to evaluate the accuracy and applicability of deep learning algorithms in the early detection of STIs from skin lesions....
One shot at trust: building credible evidence for medical artificial intelligence [0.03%]
一击即中：建立医学人工智能可信证据体系
Ramez Kouzy,Julian C Hong,Danielle S Bitterman
Ramez Kouzy
Artificial intelligence and clinical trials: a framework for effective adoption [0.03%]
人工智能与临床试验：有效应用的框架
Bilal A Mateen,Vasee Moorthy,Alain Labrique et al.
Bilal A Mateen et al.
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity [0.03%]
重症监护病房预后模型中的反馈循环：一种未被充分认识的临床有效性威胁
Daniel R Balcarcel,Sanjiv D Mehta,Celeste G Dixon et al.
Daniel R Balcarcel et al.
Prognostic models developed for use in the intensive care unit (ICU) can inform treatment decisions and improve patient care. However, despite extensive research, few models have contributed to improved patient-centred outcomes. A major lim...