{"title":"Leserbrief zu „Was ist gesichert in der Vorsorge des kolorektalen Karzinoms?“.","authors":"Thomas Kühlein","doi":"10.1007/s00108-026-02110-8","DOIUrl":"10.1007/s00108-026-02110-8","url":null,"abstract":"","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":" ","pages":"705"},"PeriodicalIF":0.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Applications of artificial intelligence for efficient hospital processes : From hype to clinical relief].","authors":"Markus Mandrella, Rudolf Dück, Jens Scholz","doi":"10.1007/s00108-026-02122-4","DOIUrl":"10.1007/s00108-026-02122-4","url":null,"abstract":"<p><p>The use of artificial intelligence (AI) offers significant potential to increase efficiency in hospitals, particularly in the context of demographic change and staff shortages. Generative and agent-based AI enable the automation of complex clinical and administrative processes, including ambient listening, AI scribes, reporting and voice input, medical letter writing, guideline support as well as capacity management and coding. To sustainably realize these potentials, consistent operationalization, integration into existing processes, addressing regulatory hurdles and safeguarding medical expertise are required. By taking over time-consuming routine tasks, AI creates cognitive space for patient care and complex decision-making, thereby measurably contributing to relieving clinical staff and optimizing hospital workflows.</p>","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":" ","pages":"625-629"},"PeriodicalIF":0.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147847035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Artificial intelligence in internal medicine exemplified by cardiology].","authors":"Henrike A K Hillmann, Amalia Sluha, David Duncker","doi":"10.1007/s00108-026-02121-5","DOIUrl":"10.1007/s00108-026-02121-5","url":null,"abstract":"<p><p>Artificial intelligence (AI) is gaining importance in the field of cardiology. By analyzing complex multimodal data AI can support the diagnostic processes, risk stratification and making decisions. In cardiac imaging AI-based procedures improve the objective image analysis and facilitate the detection of specific cardiac diseases. The AI-assisted analysis in electrocardiography (ECG) not only enables reliable identification of established diagnoses but also enables the detection of patterns not yet identifiable for the human eye and therefore opens up opportunities for the establishment of new diagnostics and risk stratification. Large language models (LLM) represent a subdomain of AI. In cardiology they show particular potential for knowledge-based and text-based tasks, such as clinical documentation, support in drafting medical reports and patient education. Based on the current evidence, publicly available LLM are not appropriate for image interpretation, clinical decision-making or for supporting peer-review processes. Key challenges for the clinical implementation of AI include data protection and data security, regulatory requirements, currently limited evidence from randomized clinical trials, the limited option for validation of self-learning algorithms, limited transparency and the need for structured training programs for both physicians and patients. Irrespective of the degree of AI assistance, physician oversight remains crucial.</p>","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":" ","pages":"619-624"},"PeriodicalIF":0.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Medicine and artificial intelligence. An ethical and legal perspective].","authors":"Eric Hilgendorf","doi":"10.1007/s00108-026-02123-3","DOIUrl":"10.1007/s00108-026-02123-3","url":null,"abstract":"<p><p>The development and use of artificial intelligence (AI)-supported medicine does not take place in a legal vacuum but within a traditional and well-established ethical and legal framework. Relevant legal issues relate to compensation for malpractice, criminal responsibility and data protection. Added to this is the European Union's new AI Act. These regulations must be applied in such a way that the use of AI in medicine is not prevented but only restricted and controlled in the interests of the patients.</p>","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":" ","pages":"630-637"},"PeriodicalIF":0.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Artificial intelligence in medicine : Foundations, potential, structural limits and current developments].","authors":"Sylvia Thun","doi":"10.1007/s00108-026-02119-z","DOIUrl":"10.1007/s00108-026-02119-z","url":null,"abstract":"<p><p>Artificial intelligence (AI) is widely regarded as a key technology for the further development of medical care. Its performance, however, depends less on algorithmic innovations than on the quality, availability and interoperability of medical data. This article outlines the foundations of medical AI, current fields of application, with a particular focus on oncology as well as the relevant ethical, legal and quality assurance frameworks. Central to the discussion is the hypothesis that AI can only realize its full potential if it is built upon FAIR (findable, accessible, interoperable, reusable), semantically interoperable and standardized data and infrastructures. The AI is not an optional add-on but a necessary infrastructural prerequisite for modern medicine.</p>","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":" ","pages":"599-608"},"PeriodicalIF":0.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147876727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthias Wild, Corinne Eggenschwiler, Lars C Huber, Anna Heinen
{"title":"[More than just purpura-Immunoglobulin A vasculitis in adulthood].","authors":"Matthias Wild, Corinne Eggenschwiler, Lars C Huber, Anna Heinen","doi":"10.1007/s00108-026-02060-1","DOIUrl":"10.1007/s00108-026-02060-1","url":null,"abstract":"","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":" ","pages":"689-693"},"PeriodicalIF":0.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146055147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Myelofibrosis: watch and wait or treat?]","authors":"Martin Griesshammer","doi":"10.1007/s00108-025-02021-0","DOIUrl":"10.1007/s00108-025-02021-0","url":null,"abstract":"<p><p>Myelofibrosis (MF) is a rare clonal disease of the haematopoietic stem cell characterised by pathological activation of the JAK/STAT signalling pathway. The disease typically manifests clinically as anaemia, splenomegaly and constitutional symptoms. The therapeutic decision between watchful waiting and active treatment is based primarily on the risk profile, symptoms and molecular genetic findings. While low-risk patients without symptoms can be monitored, those at higher risk or with significant symptoms benefit from early treatment, especially with Janus kinase (JAK) inhibitors. Ruxolitinib has been the standard of care since 2012, and newer substances such as momelotinib are expanding the spectrum, especially in anaemic patients. For suitable patients, allogeneic stem cell transplantation remains the only curative option. Future developments are aimed at personalised, disease-modifying therapy that goes beyond mere symptom control.</p>","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":" ","pages":"588-594"},"PeriodicalIF":0.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145656472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Einführung zum Thema Glomerulonephritiden – differenzierte Diagnostik und moderne Therapiestrategien.","authors":"Kai Schmidt-Ott, Roland Schmitt","doi":"10.1007/s00108-026-02109-1","DOIUrl":"https://doi.org/10.1007/s00108-026-02109-1","url":null,"abstract":"","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":"67 5","pages":"491-492"},"PeriodicalIF":0.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Treatment principles and long-term management of glomerulonephritides].","authors":"Svjetlana Lovric, Stefanie Walter","doi":"10.1007/s00108-026-02107-3","DOIUrl":"10.1007/s00108-026-02107-3","url":null,"abstract":"<p><strong>Background: </strong>Glomerulonephritides (GNs) are a heterogeneous group of mostly immune-mediated kidney diseases and are among of the most common causes of chronic renal failure, including end-stage renal disease. Advances in pathophysiology, histopathology, and immunotherapy have led to more differentiated therapeutic approaches.</p><p><strong>Aim of the study: </strong>To present evidence-based treatment principles and concepts for long-term care in primary and secondary GNs, with particular reference to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines.</p><p><strong>Materials and methods: </strong>Review based on international guidelines (KDIGO), national guidelines, randomized controlled trials, meta-analyses, and current publications.</p><p><strong>Results: </strong>The treatment of glomerular diseases is based on a combination of supportive measures, disease-specific immunosuppression, and adjuvant therapy (e.g., lipid, anticoagulation, and vaccination management), as well as structured, long-term care. New pathogenesis-oriented therapies, in particular complement inhibitors and B cell-targeted strategies, are expanding the therapeutic spectrum and enabling low-steroid or steroid-free concepts.</p><p><strong>Discussion: </strong>The long-term prognosis for GN patients depends largely on early diagnosis, correctly stratified initial therapy, consistently implemented supportive measures, close follow-up care, and lifelong nephrological care. Supportive measures are at least as relevant to prognosis as specific immunosuppression. Controversy exists in particular regarding the intensity, duration, and sequence of immunosuppressive therapy, as well as the cost-effectiveness of new biological and complement-targeted substances.</p>","PeriodicalId":73385,"journal":{"name":"Innere Medizin (Heidelberg, Germany)","volume":" ","pages":"532-538"},"PeriodicalIF":0.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}