343 件 ・ 関連度順
概要と使いどころ
This skill suggests perioperative prophylaxis for venous thromboembolism in patients with Cushing's syndrome undergoing surgery. Use when preparing a CS patient for any surgical procedure; triggers include "CS patient pre-op", "Cushing's syndrome surgery", "perioperative VTE prophylaxis CS".
日本語の概要は準備中です。原文の説明を表示しています。
This skill recommends discussing and offering age-appropriate vaccinations (influenza, herpes zoster, pneumococcal) to patients with Cushing’s syndrome due to increased infection risk. Use when reviewing preventive care for a CS patient; triggers include discussing preventive care, vaccination status, or infection risk in a CS patient.
日本語の概要は準備中です。原文の説明を表示しています。
This skill recommends glucocorticoid replacement and patient education for hypocortisolemic patients after surgical remission of Cushing's syndrome. Use when a postoperative Cushing's patient exhibits low cortisol (e.g., morning cortisol <5 µg/dL) or symptoms of adrenal insufficiency.
日本語の概要は準備中です。原文の説明を表示しています。
Determines whether to recommend adrenalectomy or mineralocorticoid receptor antagonists for primary aldosteronism based on PA subtype and patient/surgical factors. Triggered after subtype confirmation when clinicians ask “Should this patient have surgery or medical treatment?” or discuss treatment options with the patient.
日本語の概要は準備中です。原文の説明を表示しています。
Recommends confirmatory testing with corticotropin stimulation test in patients presenting with clinical symptoms or signs suggesting PAI (e.g., fatigue, hypotension, hyponatremia, hyperpigmentation) when the patient's condition permits safe testing. Use when a clinician identifies suggestive features and circumstances allow outpatient stimulation testing without imminent need for emergency glucocorticoids.
日本語の概要は準備中です。原文の説明を表示しています。
Suggests that pregnant patients with primary adrenal insufficiency be monitored for clinical signs of glucocorticoid over- or under-replacement such as normal weight or gain, fatigue, postural hypotension or hypertension, and hyperglycemia, with at least one review each trimester. Use when managing a pregnant patient with PAI to assess glucocorticoid dosing adequacy.
日本語の概要は準備中です。原文の説明を表示しています。
In patients with adrenal insufficiency receiving dexamethasone replacement, the guideline suggests increasing the dexamethasone dose when enzyme-inducing antiepileptic drugs are co-administered. Trigger phrases include "AI patient on dexamethasone starts enzyme-inducing antiepileptic drug" or "AI patient on dexamethasone requiring enzyme-inducing AED".
日本語の概要は準備中です。原文の説明を表示しています。
Recommends adjusting glucocorticoid doses on the day of surgery based on illness severity and magnitude of surgical stress. Triggers when managing a patient requiring surgery needing perioperative glucocorticoid management, such as "patient on HC for central AI undergoing major abdominal surgery" or "patient with hypopituitarism scheduled for minor procedure".
日本語の概要は準備中です。原文の説明を表示しています。
Administers 100-mg hydrocortisone IV bolus followed by continuous IV infusion of 200 mg HC per 24 hours (alternatively 50 mg IV every 6 hours) for patients undergoing major surgical stress. Use when managing patient with major surgical stress; triggers include patient undergoing major surgery.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches AI patients about stress-dosing and emergency glucocorticoid administration; instructs to obtain emergency card/bracelet/necklace and kit with injectable high-dose GC. Triggers when counseling any patient with adrenal insufficiency (e.g., "Use when counseling patient with adrenal insufficiency...").
日本語の概要は準備中です。原文の説明を表示しています。
Compare cell-type composition and spatial features across conditions in IMC/MIBI cohorts with the patient as the experimental unit, covering pseudoreplication, per-patient aggregation, mixed models, compositional (Dirichlet/scCODA) differential abundance, diffcyt, per-image-to-patient spatial differential testing (SpaceANOVA), batch covariates, and FDR. Use when testing whether a cell type or spatial niche differs between groups, avoiding cell-level pseudoreplication, choosing a differential-abundance method, or correctly powering an IMC cohort comparison.
日本語の概要は準備中です。原文の説明を表示しています。
Compare cell-type composition and spatial features across conditions in IMC/MIBI cohorts with the patient as the experimental unit, covering pseudoreplication, per-patient aggregation, mixed models, compositional (Dirichlet/scCODA) differential abundance, diffcyt, per-image-to-patient spatial differential testing (SpaceANOVA), batch covariates, and FDR. Use when testing whether a cell type or spatial niche differs between groups, avoiding cell-level pseudoreplication, choosing a differential-abundance method, or correctly powering an IMC cohort comparison.
日本語の概要は準備中です。原文の説明を表示しています。
米国の医療ソフトウェアでHIPAAへの対応を検討する際に、患者情報の扱い、外部サービスへの送信条件、必要最小限のアクセスと監査記録を確認するスキル。
電子カルテの診療記録、処方、検査結果画面を設計するスキル。薬の相互作用警告や変更履歴、医療現場で入力しやすい画面の設計方針を整理します。
Generate ethical, compliant, and patient-friendly recruitment advertisements for clinical trials.
日本語の概要は準備中です。原文の説明を表示しています。
Use when drafting patient discharge summaries, creating personalized discharge instructions, simulating post-discharge outcomes, reducing hospital readmissions, or optimizing care transitions. Generates AI-enhanced discharge documentation with digital twin predictions for improved patient safety.
日本語の概要は準備中です。原文の説明を表示しています。
Gregor Mendel — genetics mentor, patient experimenter, and gardener-monk. Trigger this skill when users ask about genetics, heredity, inheritance patterns, Mendelian laws, dominant/recessive traits, gene segregation, independent assortment, Punnett squares, classical genetics, or evolution-genetics connections. Also trigger when discussing the philosophy of science, how great ideas get ignored, the relationship between faith and science, or the virtue of patient long-term observation. Even if the user doesn't say "Mendel" explicitly, trigger this skill for questions touching genetics, breeding, trait inheritance, or genomics history. Part of the AIPOCH Science Mentor Skill Hub.
日本語の概要は準備中です。原文の説明を表示しています。
Rank and prioritize neoantigen/epitope candidates by likely T-cell response using NeoFox feature annotation, PRIME2.0, BigMHC-IM, the Łuksza/Balachandran fitness model (agretopicity + foreignness), and pVACtools tiering. Encodes the field's hard truths that immunogenicity is the least-solved layer (dedicated scores ~AUROC 0.6-0.7, modest PPV), that scores are valid only for RANKING within one patient (never absolute go/no-go or cross-patient), that DAI has anchor-inflation and WT-denominator traps, and that stacking weak correlated scores into one number is a red flag. Use when ordering a candidate list for a vaccine. Binding lives in mhc-binding-prediction; calling in neoantigen-prediction.
日本語の概要は準備中です。原文の説明を表示しています。
This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input. We integrate RNA-seq data with different types of prior knowledge to extract quantitative descriptors of the tumor microenvironment from several points of view, including composition of the immune repertoire, and activity of intra- and extra-cellular communications. Then, we use multi-task machine learning trained in
日本語の概要は準備中です。原文の説明を表示しています。
Connect to a hospital's FHIR R4 server (Epic, Oracle Health/Cerner, MEDITECH, athenahealth, or any SMART-on-FHIR endpoint), pull a patient's clinical data and notes, and extract structured findings. Use when users say "connect to the EHR", "connect to Epic/Cerner", "pull notes for patient X", "what do the last 6 months of notes say about Y", or any task that starts from a live EHR rather than pasted text.
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Conducts Privacy Impact Assessment for health data processing under GDPR Article 9, HIPAA, and sector-specific health privacy regulations. Covers special category data safeguards, clinical research data, patient portals, health wearables, genetic data, and cross-border health data transfers. Keywords: health data PIA, DPIA, Article 9, HIPAA, special category data, clinical research, patient privacy, genetic data.
日本語の概要は準備中です。原文の説明を表示しています。
Think and work like an expert Health Informatician. Use when a task calls for Health Informatician judgment. Reasons from semantic interoperability, provenance, and patient safety through FHIR/US Core, SNOMED-LOINC-RxNorm terminology mapping, OMOP/OHDSI ETL with DQD/Achilles, and chart-review PPV validation while treating immortal-time and confounding-by-indication bias, patient-matching/MPI failures, billing-code phenotypes, and vocabulary version drift as first-class failure modes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user explicitly asks to use the informed-patient skill to prepare for a medical appointment, organize symptoms before seeing a doctor, or evaluate the evidence behind a diagnosis or treatment. Do not trigger automatically from health questions or symptom mentions alone — requires an explicit request by name.
日本語の概要は準備中です。原文の説明を表示しています。
Automatically detect and de-identify PII (Personal Identifiable Information) and PHI (Protected Health Information) from clinical/medical text to ensure HIPAA compliance. Trigger when processing medical records, patient data, clinical notes, insurance information, or any healthcare-related text containing potential patient identifiers.
日本語の概要は準備中です。原文の説明を表示しています。