Predictive analytics and risk stratification models in internal medicine: from risk scores to real-time machine learning [0.03%]
内科的预测分析和风险分类模型：从评分到实时机器学习
Monisha Madhumita,Somesh Gupta
Monisha Madhumita
Internal medicine involves high-stakes, time-sensitive decisions (such as triaging acute illnesses, escalating care, providing thromboprophylaxis, planning discharges, and managing chronic diseases) often under uncertainty. Risk stratificat...
Artificial Intelligence in skin disease therapeutics: from drug discovery to personalized treatment pathways [0.03%]
人工智能在皮肤病治疗中的应用：从药物发现到个性化治疗路径
István Szondy,Katalin Martyin,Gabriella Mohos et al.
István Szondy et al.
Artificial intelligence (AI) comprises computational methods capable of tasks associated with human cognition, and includes specialized subfields such as machine learning, deep learning, convolutional neural networks for image analysis, and...
AI in clinical diagnostics in dermatology: applications, validation, and real-world use cases [0.03%]
人工智能在皮肤病学临床诊断中的应用、验证及实际案例分析
Martin Kassir,Mohamad Goldust
Martin Kassir
Artificial intelligence (AI) has moved from proof-of-concept studies in dermatology to selective, real-world clinical use, particularly in image-based triage, lesion assessment, and workflow augmentation. Dermatology is uniquely suited to A...
Artificial Intelligence in medical research and publishing: progress, risks, and future perspectives [0.03%]
医学研究与出版领域的人工智能：进展、风险和未来展望
Douglas Jaxon Vadner,Angela N Brown,Michael H Gold
Douglas Jaxon Vadner
Artificial intelligence (AI) is rapidly transforming medical research and scholarly publishing, reshaping how scientific knowledge is produced, evaluated, and disseminated. Initially developed as a decision-support tool, AI has evolved into...
Ethical, legal, and regulatory challenges in AI-based healthcare tools [0.03%]
基于人工智能的医疗保健工具在伦理、法律和监管方面的挑战
Anne Dompmartin,Diala Haykal
Anne Dompmartin
Artificial intelligence (AI) is increasingly integrated into healthcare systems, offering transformative opportunities in diagnostics, treatment personalization, predictive analytics, and workflow optimization. However, alongside these adva...
Benjamin Rohaut,Marion Rouault
Benjamin Rohaut
Beyond one-size-fits-all: Personalising health communication to drive real behaviour change [0.03%]
超越千篇一律：个性化健康传播以推动真正的行为改变
Justine Avenel,Coralie Chevallier,Edgar Dubourg
Justine Avenel
Health communication is central to prevention and care, yet generic messages frequently fail to achieve real behaviour change. Personalisation offers a way forward by aligning health information with individual characteristics. This chapter...
Sucharit Katyal,Stephen M Fleming
Sucharit Katyal
Decision-making does not culminate when a choice is made. Instead, humans continue to evaluate their decisions through post-decisional reflection, and when needed, use new evidence to update the original decision. Post-decisional evaluation...
Konstantinos V Katsikopoulos,Susana Pereira,Niklas Keller
Konstantinos V Katsikopoulos
Standard decision models are often resisted by clinical practitioners. This resistance can be well justified: Standard decision models can be opaque and complex, featuring overwhelming calculations, yet at the same time being simplistic, un...
Khristina Yap Larioui,Karim Khoukh,Sarah Zekri et al.
Khristina Yap Larioui et al.
Pharmacists, while central to medication safety, face underestimated risks due to their daily exposure to toxic and explosive substances. In compounding pharmacies, handling carcinogenic, mutagenic, and reprotoxic (CMR) substances such as c...