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Draft a comprehensive differential diagnosis for acute substernal chest pain in a 45-year-old male with hypertension and hyperlipidemia, diaphoresis, exertional onset, and normal initial ECG/troponin; include life-threatening causes first, key distinguishing features, and immediate diagnostic next steps.

Draft a detailed differential diagnosis for new-onset unilateral throbbing headache with visual aura and brief monocular vision loss in a 32-year-old female on oral contraceptives; include red-flag symptoms, stroke/TIA considerations, and recommended initial workup.

Draft an assessment and plan for stage-2 hypertension (BP 162/98) in an obese 52-year-old with suspected obstructive sleep apnea; include ASCVD risk estimate, lifestyle prescriptions, first-line pharmacotherapy with drug/dose/targets, baseline labs/monitoring, and 4–6 week follow-up.

Draft an assessment and plan for type 2 diabetes follow-up with A1c 9.2% on metformin 1,000 mg BID and eGFR 65; compare adding a GLP-1 receptor agonist vs an SGLT2 inhibitor, address weight loss goals, hypoglycemia education, vaccinations, and micro/macrovascular screening.

Draft a history and physical for a patient presenting with chest pain, including HPI using OLDCARTS, pertinent ROS, PMH/meds/allergies, FH/SH, focused cardiac/pulmonary exam, initial labs and imaging orders, prioritized differential, HEART score risk stratification, and early management.

Draft a history and physical for a new patient with progressive exertional dyspnea, orthopnea, and bilateral leg edema; include differential (heart failure, COPD, PE, anemia, renal disease), targeted exam maneuvers, and first-line diagnostics and management.

Draft a progress note for COPD follow-up two weeks after an acute exacerbation treated with prednisone and antibiotics; include symptom trajectory, CAT score (if available), inhaler technique/adherence, oxygen needs, spirometry plan, smoking cessation counseling, and return precautions.

Draft a progress note for post-operative day 2 after total knee arthroplasty; include pain control strategy, DVT prophylaxis, PT/OT milestones, wound status, bowel/urinary function, labs/vitals review, complications screening, and discharge readiness.

Draft a discharge summary for community-acquired pneumonia admission; include admission/discharge dates, presenting symptoms, radiology/labs, pathogen if identified, inpatient therapies and response, discharge medications with durations, pending tests, follow-up appointments, and return precautions.

Draft a discharge summary for myocardial infarction managed with PCI and drug-eluting stent placement; include cath findings, complications, inpatient course, discharge medications (DAPT, statin, beta-blocker, ACEi/ARB), cardiac rehab referral, and follow-up plan.

Draft discharge instructions for a patient hospitalized with acute decompensated heart failure; include daily weights, sodium and fluid restriction amounts, medication list with dosing, signs of worsening heart failure, follow-up appointments, and lab monitoring plan.

Draft discharge instructions for an asthma exacerbation; include controller and reliever regimen, steroid taper schedule, spacer technique, trigger avoidance, a written asthma action plan, return precautions, and follow-up timing.

Draft a patient handout on managing high blood pressure in plain language; explain what BP numbers mean, key lifestyle steps (DASH diet, sodium limits, alcohol moderation), home BP monitoring instructions, medication adherence tips, and when to call the doctor.

Draft a patient handout for type 2 diabetes education in plain language; cover A1c goals, the plate method, physical activity targets, self-monitoring of blood glucose, hypoglycemia signs and the 15-15 rule, foot care basics, and a vaccination checklist.

Draft a summary of the latest CDC and WHO guidelines for managing community-acquired pneumonia in adults, including empiric antibiotic choices, duration of therapy, and follow-up recommendations.

Draft a plain-language overview of the ADA and AACE guidelines for diabetes management, focusing on A1c goals, weight management, and the use of GLP-1 receptor agonists and SGLT2 inhibitors.

Draft a summary of the 2024 USPSTF breast cancer screening recommendations, including updated screening intervals, risk-based approaches, and the role of MRI for high-risk patients.

Draft a concise summary of NCCN guidelines for melanoma management, including staging, surgical margins, adjuvant therapy, and checkpoint inhibitor recommendations.

Draft treatment alternatives for community-acquired MRSA skin infections in patients allergic to sulfa drugs; include oral and IV options, dosing, and duration.

Draft treatment alternatives for patients with type 2 diabetes who are unable to tolerate GLP-1 receptor agonists due to nausea; include medication substitutions and lifestyle recommendations.

Draft a summary of options for treating refractory depression, comparing ketamine infusions, transcranial magnetic stimulation (TMS), and electroconvulsive therapy (ECT).

Draft treatment options for advanced prostate cancer, including hormonal therapy, radiopharmaceuticals, and novel androgen receptor pathway inhibitors.

Draft a summary of recent research on mRNA vaccine technology beyond COVID-19, including applications in oncology and autoimmune disease prevention.

Draft an easy-to-understand overview of long COVID research, summarizing major symptoms, hypothesized mechanisms, and emerging treatment approaches.

Draft a summary of current research on Alzheimer’s disease biomarkers, including amyloid and tau imaging, and discuss how they influence diagnosis and trial design.

Draft an explanation of the interaction between warfarin and antibiotics such as ciprofloxacin or TMP-SMX, including INR effects and management recommendations.

Draft a summary evaluating drug interactions for patients taking Paxlovid and common cardiovascular drugs; include mechanism and recommended dose adjustments.

Draft a summary of the common and serious side effects of semaglutide, including GI intolerance, gallbladder disease, and thyroid-related warnings.

Draft an overview of potential side effects associated with long-term corticosteroid use, including osteoporosis, glucose intolerance, and adrenal suppression.

Draft a summary of essential lab tests to order in suspected acute pancreatitis, including amylase, lipase, liver enzymes, and metabolic panels, with interpretation guidance.

Draft laboratory workup recommendations for suspected hypothyroidism, including TSH, free T4, thyroid antibodies, and when to consider secondary causes.

Draft an explanation of which labs should be monitored in patients receiving methotrexate therapy, including CBC, LFTs, renal function, and frequency of monitoring.

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Research Article: Development and external validation of an interpretable machine learning model for early prediction of in-hospital mortality in neurocritical care

Date Published: 2026-09-24

Abstract:
Early risk assessment is a routine part of neurocritical care, yet mortality prediction remains difficult because neurological injury often coexists with respiratory, circulatory, renal, and inflammatory dysfunction. This study aimed to develop and externally validate an interpretable machine learning (ML) model for predicting in-hospital mortality in neurocritical-care patients using variables available within the first 24 h after intensive care unit (ICU) admission. We conducted a retrospective cohort study using two public critical-care databases. The Medical Information Mart for Intensive Care IV (MIMIC-IV) database was used for model development and internal testing, and the eICU Collaborative Research Database (eICU-CRD) was used for independent external validation. The report follows the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement. Adult ICU patients with neurocritical-care diagnoses were identified by predefined International Classification of Diseases codes. Candidate predictors were restricted to information recorded during the first 24 h after ICU admission and included demographics, comorbidities, vital signs, laboratory results, neurological status, organ-support therapies, and severity scores. Least absolute shrinkage and selection operator (LASSO) regression was used for feature selection. Logistic regression, random forest, XGBoost, LightGBM, CatBoost, and multilayer perceptron models were trained. Discrimination was assessed by area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC). Calibration, decision curve analysis (DCA), and SHapley Additive exPlanations (SHAP) were used to evaluate probability reliability, potential clinical utility, and interpretability. The operating threshold used for classification metrics was fixed in the MIMIC-IV development data before internal and external evaluation. The MIMIC-IV cohort included 6,842 patients, of whom 1,014 died during hospitalization; the held-out internal test set contained 1,368 patients and 203 deaths. The external validation cohort included 5,236 eICU-CRD patients, of whom 686 died. LightGBM showed the best overall performance. In the internal test cohort, it achieved an AUROC of 0.841 (95% CI: 0.821–0.861 ) and an AUPRC of 0.518 (95% CI: 0.486–0.552 ). In external validation, the AUROC was 0.801 (95% CI: 0.779–0.824 ) and the AUPRC was 0.413 (95% CI: 0.380–0.449 ), with sensitivity of 72.8% , specificity of 73.9% , positive predictive value of 30.3% , negative predictive value of 94.7% , and F1 score of 0.428 . Thus, approximately 70% of patients classified as high risk at this operating point survived to hospital discharge. Calibration was acceptable in the external cohort, with a Brier score of 0.101 , calibration intercept of 0.050 , and calibration slope of 0.84 . SHAP analysis identified GCS total score, invasive mechanical ventilation, age, lactate, SOFA score, vasopressor use, and creatinine as leading contributors to predicted mortality risk. A model based on routinely collected first-day ICU data provided externally validated and interpretable risk stratification for in-hospital mortality in neurocritical care. Its low positive predictive value at the reported operating point precludes use as a stand-alone basis for prognostic pessimism, treatment limitation, or withdrawal of life-sustaining treatment. Prospective validation in diverse countries and health systems is required before clinical implementation.

Introduction:
Early risk assessment is a routine part of neurocritical care, yet mortality prediction remains difficult because neurological injury often coexists with respiratory, circulatory, renal, and inflammatory dysfunction. This study aimed to develop and externally validate an interpretable machine learning (ML) model for predicting in-hospital mortality in neurocritical-care patients using variables available within the first 24 h after intensive care unit (ICU) admission.

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