Generative artificial intelligence (GenAI) has the potential to improve healthcare through automation that enhances the quality and safety of patient care. Powered by foundation models that have been pretrained and can generate complex content, GenAI represents a paradigm shift away from the more traditional focus on task-specific classifiers that have dominated the AI landscape thus far. We posit that the imminent application of GenAI in healthcare will be through well-defined, low risk, high value, and narrow applications that automate healthcare workflows at the point of care using smaller foundation models. These models will be finetuned for different capabilities and application specific scenarios and will have the ability to provide medical explanations, reference evidence within a retrieval augmented framework and utilizing external tools. We contrast this with a general, all-purpose AI model for end-to-end clinical decision making that improves clinician performance, including safety-critical diagnostic tasks, which will require greater research prior to implementation. We consider areas where 'human in the loop' Generative AI can improve healthcare quality and safety by automating mundane tasks. Using the principles of implementation science will be critical for integrating 'end to end' GenAI systems that will be accepted by healthcare teams.
Towards a New Science of a Clinical Data Intelligence
Siemens AG（西门子股份公司）；University Hospital Erlangen（埃尔朗根大学医院）；Friedrich-Alexander-University Erlangen-Nuremberg（弗里德里希-亚历山大大学埃尔朗根-纽伦堡分校）；Charité - Universitätsmedizin Berlin（柏林夏里特医学院）；Averbis GmbH（Averbis有限公司）；DFKI GmbH（德国人工智能研究中心有限公司）；Fraunhofer Institute for Integrated Circuits（弗劳恩霍夫集成电路研究所）；Institut für Frauengesundheit GmbH（女性健康研究所有限公司）；Ludwig Maximilian University of Munich（慕尼黑路德维希-马克西米利安大学）
AI Approaches in Processing and Using Data in Personalized Medicine
University of Novi Sad, Faculty of Sciences（诺维萨德大学理学院）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心）；NETCOMPANY-INTRASOFT S.A.（NETCOMPANY-INTRASOFT股份公司）
Enjeux éthiques de l'IA en santé : une humanisation du parcours de soin par l'intelligence artificielle ?
考虑到使用人工智能来实现患者护理的更大个性化以及更好地管理人力和物力资源，这似乎是一个不容错过的机会。为了提供更人性化的护理途径，人工智能是医院部门决策者必须通过关注该技术产生的新道德问题和价值观冲突来适当使用的工具。Envisager le recours à l'intelligence artificielle pour une plus personnalisation de la prise en charge du patient et une meilleure gestion des resources humaines et matérielles peut sembler une opportunité à ne pas manquer.由于提出了一个更好的人性化的治疗方案，人工智能是一种方法，使医院环境中的决策者能够适当地利用这种技术产生的新的伦理学和价值冲突。
Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States
University of Tennessee Health Science Center, College of Nursing（田纳西大学健康科学中心护理学院）；University of Tennessee Health Science Center, Center for Biomedical Informatics, Department of Pediatrics（田纳西大学健康科学中心生物医学信息中心，儿科系）；University of Tennessee Health Science Center, Department of Radiation Oncology（田纳西大学健康科学中心放射肿瘤学系）
Artificial Intelligence and the Future of Psychiatry: Qualitative Findings from a Global Physician Survey
Beth Israel Deaconess Medical Center（贝斯以色列女执事医疗中心）；Harvard Medical School（哈佛医学院）；University College Dublin（都柏林大学学院）；University of Basel（巴塞尔大学）；University of Plymouth（普利茅斯大学）；University of Toronto（多伦多大学）；Duke University Medical School（杜克大学医学院）
"We'll have to see how it works": An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research
William Harvey Research Institute（威廉·哈维研究所）；Queen Mary University of London（伦敦玛丽女王大学）；Wolfson Institute of Population Health（沃尔夫森人口健康研究所）
New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography
New York University（纽约大学）；NYU Langone Health（NYU Langone健康中心）；NYU Tandon School of Engineering（NYU塔能工程学院）；Indiana University School of Medicine（印第安纳大学医学院）
The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes
Philipps-University of Marburg（马尔堡菲利普斯大学）；Weihenstephan-Triesdorf University of Applied Sciences（魏恩施蒂芬-特里斯多夫应用科学大学）；Otto-von-Guericke University Magdeburg（奥托·冯·格里克马格德堡大学）
Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic
Massachusetts Institute of Technology（麻省理工学院）；Harvard University（哈佛大学）；Universitat de Barcelona（巴塞罗那大学）；Instituto de Salud Carlos III（卡洛斯三世卫生研究所）；Hospital Universitari Germans Trias i Pujol（Germans Trias i Pujol大学医院）；Universidad de Guadalajara（瓜达拉哈拉大学）；Centro Universitario de Ciencias de la Salud（健康科学中心大学学院）；OPD Hospital Civil de Guadalajara（瓜达拉哈拉市立医院）
