Overview of basic design recommendations for user-centered explanation interfaces for AI-based clinical decision support systems: A scoping review.

Objective: The application of artificial intelligence (AI)-based clinical decision support systems (CDSS) in the healthcare domain is still limited. End-users' difficulty understanding how the outputs of opaque black AI models are generated contributes to this. It is still unknown which explanations are best presented to end users and how to design the interfaces they are presented in (explanation user interface, XUI).

An interactive course program on nutrition for medical students: interdisciplinary development and mixed-methods evaluation.

Nutrition plays a crucial role in human and planetary health, as prevailing nutritional patterns significantly contribute to the global non-communicable disease pandemic. Moreover, the global food system is inextricably linked to planetary health deterioration. The relevance of nutrition for individual and planetary health is insufficiently addressed in German medical schools.

Development and maintenance of consensus recommendations on pediatric outpatient antibiotic therapy in Germany: a framework for rational use.

Unlabelled: In pediatric outpatient care, overuse and misuse of antibiotics is linked to a high risk of adverse events and increased antibiotic resistance. In 2019, building upon the work of the Antibiotic Therapy in Bielefeld (AnTiB) project (founded in 2016), a collaboration among the AnTiB, the German Society for Pediatric Infectious Diseases (DGPI), and the Professional Association of Outpatient Pediatricians and Adolescent Physicians (BVKJ) was established to develop consensus recommendations for antibiotic therapy in pediatric outpatient settings in Germany. This working group became the Antibiotic Stewardship in Outpatient Pediatrics (ABSaP).

Genomics yields biological and phenotypic insights into bipolar disorder.

Bipolar disorder is a leading contributor to the global burden of disease. Despite high heritability (60-80%), the majority of the underlying genetic determinants remain unknown. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.

Perioperative Chemotherapy or Preoperative Chemoradiotherapy in Esophageal Cancer.

Background: The best multimodal approach for resectable locally advanced esophageal adenocarcinoma is unclear. An important question is whether perioperative chemotherapy is preferable to preoperative chemoradiotherapy.

Methods: In this phase 3, multicenter, randomized trial, we assigned in a 1:1 ratio patients with resectable esophageal adenocarcinoma to receive perioperative chemotherapy with FLOT (fluorouracil, leucovorin, oxaliplatin, and docetaxel) plus surgery or preoperative chemoradiotherapy (radiotherapy at a dose of 41.

SOCS1 deficiency-crossroads of autoimmunity and autoinflammation-two case reports.

Suppressors of cytokine signaling (SOCS) proteins play a critical role in regulating immune signaling pathways. Deficiency of SOCS1 leads to various autoimmune pathologies. We present two unrelated patients with distinct clinical manifestations.

Cell-free tumor DNA analysis in advanced or metastatic breast cancer patients: mutation frequencies, testing intention, and clinical impact.

Background: Circulating cell-free tumor DNA (ctDNA) provides a non-invasive approach for assessing somatic alterations. The German PRAEGNANT registry study aims to explore molecular biomarkers and investigate their integration into clinical practice. In this context, ctDNA testing was included to understand the motivations of clinicians to initiate testing, to identify somatic alterations, and to assess the clinical impact of the results obtained.

Current applications and challenges in large language models for patient care: a systematic review.

Background: The introduction of large language models (LLMs) into clinical practice promises to improve patient education and empowerment, thereby personalizing medical care and broadening access to medical knowledge. Despite the popularity of LLMs, there is a significant gap in systematized information on their use in patient care. Therefore, this systematic review aims to synthesize current applications and limitations of LLMs in patient care.

The Co-IMPACT Consortium: Integrating Prostate-specific Membrane Antigen Positron Emission Tomography and Radiotherapy in Prostate Cancer Care.

The Co-IMPACT consortium addresses knowledge gaps in prostate-specific membrane antigen positron emission tomography-guided radiotherapy for prostate cancer by establishing a global database (46 centres from 16 countries) to standardise and analyse data across four distinguished clinical scenarios. A collaborative model with the Advanced Prostate Cancer Consensus Conference aligns urgent clinical needs with actionable research insights.

Olfactory Dysfunction in Children and Adolescents-A Diagnostic Pathway.

Olfactory disorders have so far played a subordinate role in pediatric care, although children can also be affected. Due to a lack of awareness, the diagnosis can often only be made after numerous visits to the doctor, although it can significantly impact the quality of life. Olfactory disorders in adults are usually acquired, while congenital causes dominate in children.

Deep Learning for Biomarker Discovery in Cancer Genomes.

Background: Genomic data is essential for clinical decision-making in precision oncology. Bioinformatic algorithms are widely used to analyze next-generation sequencing (NGS) data, but they face two major challenges. First, these pipelines are highly complex, involving multiple steps and the integration of various tools.

Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis.

Background & Aims: Biliary abnormalities in autoimmune hepatitis (AIH) and interface hepatitis in primary biliary cholangitis (PBC) occur frequently, and misinterpretation may lead to therapeutic mistakes with a negative impact on patients. This study investigates the use of a deep learning (DL)-based pipeline for the diagnosis of AIH and PBC to aid differential diagnosis.

Methods: We conducted a multicenter study across six European referral centers, and built a library of digitized liver biopsy slides dating from 1997 to 2023.

Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning.

The advent of endovascular thrombectomy has significantly improved outcomes for stroke patients with intracranial large vessel occlusion, yet individual benefits can vary widely. As demand for thrombectomy rises and geographic disparities in stroke care access persist, there is a growing need for predictive models that quantify individual benefits. However, current imaging methods for estimating outcomes may not fully capture the dynamic nature of cerebral ischemia and lack a patient-specific assessment of thrombectomy benefits.

Association of chronic stress during studies with depressive symptoms 10 years later.

The long-tern implications of stress during university for individuals' mental health are not well understood so far. Hence, we aimed to examine the potential effect of stress while studying at university on depression in later life. We analysed data from two waves of the longitudinal Study on Occupational Allergy Risks.

Panic disorder during pregnancy and the first three years after delivery: a systematic review.

Background: Panic disorder (PD) is highly prevalent during the peripartum period. The aim of this systematic review was to summarize evidence on risk factors and course patterns of peripartum PD as well as maternal, infant or dyadic outcomes during the first three years after delivery.

Methods: A literature search was conducted according to PRISMA guidelines.

Genomic reanalysis of a pan-European rare-disease resource yields new diagnoses.

Genetic diagnosis of rare diseases requires accurate identification and interpretation of genomic variants. Clinical and molecular scientists from 37 expert centers across Europe created the Solve-Rare Diseases Consortium (Solve-RD) resource, encompassing clinical, pedigree and genomic rare-disease data (94.5% exomes, 5.

Discordance, accuracy and reproducibility study of pathologists' diagnosis of melanoma and melanocytic tumors.

Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.

German evidence- and consensus-based guideline on the management of penile urethritis.

Urethritis is a common condition predominantly caused by sexually transmitted pathogens such as Chlamydia trachomatis, Neisseria gonorrhoeae, and Mycoplasma genitalium. It is not possible to differentiate with certainty between pathogens on the basis of clinical characteristics alone. However, empirical antibiotic therapy is often initiated in clinical practice.

Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards.

Background: Molecular tumor boards (MTBs) play a pivotal role in personalized oncology, leveraging complex data sets to tailor therapy for cancer patients. The integration of digital support and visualization tools is essential in this rapidly evolving field facing fast-growing data and changing clinical processes. This study addresses the gap in understanding the evolution of software and visualization needs within MTBs and evaluates the current state of digital support.

Psychometric properties of the Fear of Birth Scale in women in the perinatal period: A multicountry study.

Assessing Fear of Birth Scale's (FOBS) psychometric properties in the perinatal period using multicountry data is a step toward effectively screen clinically significant fear of childbirth (FOC) in maternal healthcare settings. FOBS psychometric properties were analyzed in women in the perinatal period using data from Australia, Germany, Lithuania, Poland, and Portugal. FOBS' reliability, criterion (known group and convergent), concurrent, predictive, and clinical validity were analyzed.

Discontiguous recurrences of IDH-wildtype glioblastoma share a common origin with the initial tumor and are frequently hypermutated.

Glioblastoma is the deadliest primary brain tumor, largely due to inevitable recurrence of the disease after treatment. While most recurrences are local, patients rarely present with a new discontiguous focus of glioblastoma. Little is currently known about the genetic profile of discontiguous recurrences.

Artificial intelligence-based biomarkers for treatment decisions in oncology.

The development of new therapeutic strategies such as immune checkpoint inhibitors (ICIs) and targeted therapies has increased the complexity of the treatment landscape for solid tumors. At the current rate of annual FDA approvals, the potential treatment options could increase by tenfold over the next 5 years. The cost of personalized medicine technologies limits its accessibility, thus increasing socioeconomic disparities in the treated population.