NoduleRisk vs MeSHSearch

NoduleRisk is a clinical decision support tool for physicians evaluating pulmonary nodule malignancy risk. It computes probability estimates and management guidance across five validated models simultaneously. MODELS INCLUDED • Mayo Clinic (ACCP) — logistic regression model for incidentally detected nodules • Brock (BTS/PanCan) — recommended for screening populations; validated in the Pan-Canadian Lung Cancer Screening Study • Herder (BTS) — incorporates FDG-PET/CT uptake when available • BIMC (Bayesian) — Bayesian likelihood ratio model with adjustable prior probability; displays individual likelihood ratio contributions • Fleischner 2017 — guideline-based follow-up recommendations with automatic risk stratification FEATURES • Multi-nodule evaluation (up to 6 nodules per patient) • Volume doubling time calculation from serial CT measurements • Risk-stratified management recommendations for each model • Applicability warnings when inputs are outside model validation ranges • Clinical context adjustments for screening and biopsy-referred populations • Fully offline — no data is transmitted or stored IMPORTANT NoduleRisk is intended for use by qualified clinicians as a decision support aid only. Results must be interpreted in the context of the full clinical picture and do not substitute for institutional guidelines, multidisciplinary team discussion, or clinical judgment.

MeSH Search makes PubMed searching smarter and more intuitive. Designed for researchers, healthcare professionals, and students in medicine, nursing, pharmacy, and the life sciences, this next-generation MeSH (Medical Subject Headings) search assistant instantly suggests the most appropriate MeSH terms from everyday language and keywords—even if you don't know the exact terminology. ■ Key Features Vector Semantic Search Simply enter everyday terms like "heart attack" and the vector semantic search understands the meaning, suggesting the most relevant MeSH term (e.g., Myocardial Infarction). It flexibly handles typos and abbreviations. Qualifier Support Choose from official PubMed subheadings such as "drug therapy," "diagnosis," and "prevention and control." The app automatically generates precise syntax like "Myocardial Infarction/drug therapy"[Mesh]. Major Topic (MAJR) Designation Assign Major Topic status to terms that should carry more weight in your search. The [MAJR] tag is automatically applied, supporting more precise filtering. Synonym Grouping Automatically combine multiple expressions of the same concept (e.g., Myocardial Infarction / Heart Attack) into an OR group. Generate comprehensive search strategies that integrate both MeSH and free-text searching in a single tap. Query Builder Freely combine AND / OR / NOT operators with drag-and-drop ease. Build complex search strategies involving multiple MeSH terms and keywords through an intuitive interface. One-Tap PubMed Access Execute your constructed search string directly in PubMed. You can also copy it and easily paste it into reference managers like EndNote, Zotero, or Mendeley. Japanese Language Support The interface and search functionality support both Japanese and English. Enjoy a seamless workflow: think in Japanese and retrieve English MeSH terms. Multilingual Term Translations Japanese and other language translations of MeSH terms are generated using large language models (LLMs). While we strive for accuracy, translations may not always reflect precise medical or scientific terminology. Please refer to the original English MeSH terms for authoritative definitions. ■ Recommended For Researchers conducting systematic reviews and meta-analyses Physicians, nurses, and pharmacists who need evidence-based literature searches Medical, nursing, and pharmacy students learning EBM (Evidence-Based Medicine) Medical librarians looking to streamline complex query construction MeSH Search makes your literature searches faster and more accurate.