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MedXchange Open Clinical AI Resources

Resources, Prompts & Datasets

Curated prompt libraries, slide decks from our clinical bootcamp, PhysioNet dataset links, and ready-to-run Google Colab research notebooks for doctors.

MotionSites.ai Format

Clinical & Vibe Coding Prompt Library

Engineered for instant deployment on Bolt.new, Lovable.dev, Cursor, and Claude 3.7.

Category:
Clinical Apps
Bolt.newLovable.dev

12-Lead ECG Waveform Viewer & Arrhythmia Triage

High-contrast clinical ECG canvas with interactive grid scaling (25mm/s, 10mm/mV), automated PR/QRS/QT interval caliper measurements, and simulated arrhythmia flags.

#Dark Clinical Mode#D3 / Canvas Grid#Zero AI Slop#Real-time Calipers
Clinical Apps
Lovable.devBolt.new

ICU Sepsis Early Warning & SOFA Score Dashboard

Multi-bed ICU telemetry monitor calculating dynamic SOFA, qSOFA, and lactate trend trajectories with hour-by-hour alert heatmaps.

#High-Contrast Light/Dark#Real-time Telemetry#SOFA Calculator#FHIR JSON
Medical Research
Claude 3.7 SonnetChatGPT

PubMed & STROBE Clinical Paper Drafter Agent

Rigorous scientific research drafting prompt enforcing EQUATOR Network (STROBE/CONSORT) guidelines, statistical reporting rigor, and Vancouver citation formatting.

#STROBE Compliant#Vancouver Format#P-Value Precision#Medical Writer
Clinical Apps
Bolt.newLovable.dev

Radiology DICOM Chest X-Ray AI Multi-Label Classifier

Orthogonal radiological viewer with invert/window-level presets, Grad-CAM attention heatmap overlays, and CheXNet multi-pathology probability bars.

#Radiology Darkroom#Grad-CAM Heatmaps#Windowing Presets#CheXpert Standards
Vibe Coding
Claude 3.7 SonnetChatGPT

The Zero-to-One Healthcare App Scaffolder

The master prompt from Slide 21 of the MedXchange Bootcamp that structures clinical ideas into buildable, production-ready specifications.

#Master Prompt#SaaS Blueprint#Doctor-Proof#MVP Scoping
EHR & FHIR
CursorClaude 3.7

FHIR R4 Resource JSON Schema Generator

Convert clinical notes, lab results, and medication orders into HL7 FHIR Release 4 compliant JSON bundles with SNOMED CT and LOINC codings.

#HL7 FHIR R4#LOINC Codes#SNOMED CT#SMART-on-FHIR
Bootcamp Slide Deck

Vibe Coding For Doctors

27-slide curriculum by Faraz Zeeshan (MedXchange Cofounder) & Minaam Qureshi (SDE) · Innovator Circle Bootcamp.

Bootcamp ConceptInnovator Circle | MPM-CX

Vibe Coding For Doctors

Innovator Circle Bootcamp | MPM-CX

"Turn clinical intuition into software without getting lost in the syntax weeds."
Speaker: Faraz Zeeshan (Cofounder of MedXchange, Peakbrain & Houseofmedicine.in)
Technical Lead: Minaam Qureshi (Full Stack SDE & Entrepreneur)
Date & Track: July 24, 2026 · 1:00 PM · medxchange.in
Target Audience: Clinicians, Medical Researchers, Fellows & Healthcare Innovators
Key Takeaway for Clinicians:

Doctors hold the deepest domain knowledge in healthcare. Vibe coding provides the leverage to build real clinical software without 4 years of computer science syntax drills.

Hands-On Python Research

Clinical AI Google Colab Notebooks

Ready-to-run Jupyter notebooks with pre-configured GPU runtimes, PyTorch, and clinical datasets.

6 Notebooks Available
Cardiology & ElectrophysiologyIntermediate

12-Lead ECG Arrhythmia Classification with 1D-ResNet

End-to-end PyTorch pipeline to preprocess raw 500Hz 12-lead ECG signals from the PTB-XL dataset, apply bandpass filtering (0.5-45 Hz), train a 1D Residual Convolutional Network, and compute Macro AUROC & F1-scores for 5 diagnostic superclasses (NORM, MI, STTC, CD, HYP).

Dataset: PhysioNet PTB-XL (21,799 12-lead ECGs)
PyTorch1D-CNNWFDBSignal ProcessingAUROC 0.94
PyTorch + Scipy + WFDBOpen in Colab
Critical Care & Emergency MedicineIntermediate

Real-Time Sepsis Prediction on MIMIC-IV with XGBoost & SHAP

Extract time-series vitals and lab panels from MIMIC-IV ICU stays using Google BigQuery, perform sliding-window feature engineering, train an XGBoost classifier with focal loss for class imbalance, and generate patient-level SHAP force plots explaining diagnostic risk factors.

Dataset: PhysioNet MIMIC-IV v2.2 (ICU Admissions)
XGBoostSHAP InterpretabilityBigQuerySepsis-3Time Series
Scikit-Learn + XGBoost + SHAPOpen in Colab
Radiology & PulmonologyBeginner

Chest X-Ray Pathology Classifier with DenseNet-121 & Grad-CAM

Load NIH ChestX-ray14 / MIMIC-CXR images, fine-tune a pre-trained Torchvision DenseNet-121 with binary cross-entropy loss across 14 radiological findings, evaluate with ROC curves, and generate visual Grad-CAM heatmap overlays highlighting lung opacities.

Dataset: MIMIC-CXR-JPG / NIH ChestX-ray14
Computer VisionDenseNet-121Grad-CAMDICOMTransfer Learning
PyTorch + Torchvision + OpenCVOpen in Colab
Clinical Informatics & Evidence-Based MedicineAdvanced

Clinical PubMed QA with Retrieval-Augmented Generation (RAG)

Build an AI copilot that queries the PubMed Entrez API in real-time, chunks full-text abstracts, generates vector embeddings using BioLinkBERT, indexes into FAISS, and uses LLM generation to answer complex clinical differential diagnosis queries with exact PMID citations.

Dataset: NCBI PubMed Entrez API / PMC Open Access
LangChainVector DBFAISSBioLinkBERTPMID Citations
LangChain + HuggingFace + FAISSOpen in Colab
Oncology & BiostatisticsBeginner

Survival Analysis & Cox Proportional Hazards for Oncology Cohorts

Perform Kaplan-Meier survival curves, log-rank significance testing, multivariable Cox Proportional Hazards regression modeling, and concordance index evaluation for clinical oncology patient cohorts using the Python Lifelines library.

Dataset: TCGA Clinical Data / METABRIC Breast Cancer
LifelinesKaplan-MeierHazard RatiosOncologyStatistics
Lifelines + Pandas + SeabornOpen in Colab
Health Informatics & Natural Language ProcessingAdvanced

Medical Named Entity Recognition (NER) with BioBERT

Tokenize unstructured physician progress notes, fine-tune BioBERT for token classification, and extract Diseases, Chemicals, Dosage, and Anatomical Sites with BIO-tagging and clinical F1-score validation.

Dataset: NCBI Disease & BC5CDR Datasets
HuggingFaceTransformersBioBERTNERClinical NLP
Transformers + PyTorch + DatasetsOpen in Colab
Clinical Research Repositories

PhysioNet & Open Medical Datasets

Standard benchmark clinical datasets for ECG, ICU telemetry, Chest X-Rays, and Dermatology.

7 Datasets Indexed
PhysioNet·EHR & Tabular·382,278 patients / 431,231 hospital admissions

MIMIC-IV: Medical Information Mart for Intensive Care

PhysioNet Credentialed (CITI Training Required)Access Dataset

The gold-standard global intensive care research database collected from Beth Israel Deaconess Medical Center (2008–2019). Contains comprehensive longitudinal de-identified data including laboratory events, vital signs, medication administrations, ICD-9/ICD-10 diagnoses, procedure orders, and out-of-hospital mortality tracking.

High-Yield Research Opportunities:
  • In-hospital mortality prediction modeling
  • Sepsis-3 early warning and vasopressor titration
  • Acute Kidney Injury (KDIGO criteria) progression
  • Mechanical ventilation weaning predictors
Recommended Baseline Architecture:

XGBoost, LightGBM, LSTM, Temporal Transformers

PhysioNet·Chest X-Ray / Medical Imaging·377,110 radiographs / 227,827 imaging studies

MIMIC-CXR-JPG: Chest Radiographs with Radiology Reports

PhysioNet Credentialed (CITI Training Required)Access Dataset

A massive public dataset of de-identified chest radiographs in standard JPEG format associated with free-text radiology reports and 14 structured pathology labels extracted via rule-based CheXpert NLP labelers.

High-Yield Research Opportunities:
  • Automated multi-label thoracic pathology detection
  • Radiology report text generation from 2D images (Vision-Language)
  • Uncertainty-aware deep learning classification
  • Clinical localization and anatomical bounding boxes
Recommended Baseline Architecture:

DenseNet-121, Vision Transformers (ViT), BioMedCLIP

PhysioNet·12-Lead ECG / Waveforms·21,799 10-second 12-lead ECGs from 18,885 patients

PTB-XL: A Large Publicly Available 12-Lead Electrocardiography Database

Open Access (Instant)Access Dataset

A clinical 12-lead ECG database sampled at 500Hz with comprehensive SCP-ECG diagnostic statements, form statements, rhythm statements, and validated train/test splits. Completely open access with zero credentialing delays.

High-Yield Research Opportunities:
  • Multi-label arrhythmia and conduction disorder classification
  • Myocardial infarction (STEMI / NSTEMI) localization
  • ST-T change detection and QT prolongation monitoring
  • Waveform denoising and generative synthetic ECG generation
Recommended Baseline Architecture:

1D-ResNet, XResNet1d, Wavelet CNN, Bi-LSTM

PhysioNet·EHR & Tabular·200,859 ICU encounters across 208 US hospitals

eICU Collaborative Research Database

PhysioNet Credentialed (CITI Training Required)Access Dataset

A multi-center critical care database collected through the Philips eICU telehealth program covering 208 community and academic hospitals across the United States. Ideal for testing multi-center generalizability and external dataset validation.

High-Yield Research Opportunities:
  • Multi-hospital algorithmic generalizability testing
  • ICU Length of Stay (LOS) prediction
  • Telemetry alarm fatigue mitigation
  • Resource allocation and mechanical ventilator demand forecasting
Recommended Baseline Architecture:

Ensemble Gradient Boosting, TabNet, Random Forests

PhysioNet·12-Lead ECG / Waveforms·48 half-hour ambulatory 2-channel Holter recordings

MIT-BIH Arrhythmia Database

Open Access (Instant)Access Dataset

The historical foundation benchmark for automated ECG arrhythmia detection, annotated beat-by-beat by two independent cardiologists with over 110,000 labeled heartbeats (Premature Ventricular Contractions, Atrial Fibrillation, Left/Right Bundle Branch Blocks).

High-Yield Research Opportunities:
  • Real-time QRS detection algorithms (Pan-Tompkins benchmarks)
  • Single-lead wearable Holter beat classification
  • Ectopic beat detection on smartwatch sensors
Recommended Baseline Architecture:

1D Convolutional Neural Networks, Pan-Tompkins Filter

PhysioNet·EEG & Bio-Signals·916 hours of continuous scalp EEG across 24 pediatric cases

CHB-MIT Scalp EEG Database

Open Access (Instant)Access Dataset

Continuous EEG recordings collected at Boston Children's Hospital from pediatric subjects with intractable seizures, sampled at 256 samples/second with exact millisecond seizure onset and offset annotations.

High-Yield Research Opportunities:
  • Automated epileptic seizure onset detection
  • Pre-ictal seizure forecasting algorithms
  • EEG channel spatial graph neural networks (GNN)
Recommended Baseline Architecture:

Spatial-Temporal Graph Convolutional Networks (ST-GCN), EEGNet

ISIC·Dermatology·70,000+ high-resolution dermoscopic lesion images

ISIC Archive: International Skin Imaging Collaboration

Open Access (Instant)Access Dataset

The premier international open-access repository of clinical and dermoscopic skin lesion images with histology-confirmed ground truth diagnoses (Melanoma, Melanocytic Nevus, Basal Cell Carcinoma, Actinic Keratosis, Benign Keratosis).

High-Yield Research Opportunities:
  • Malignant melanoma vs. benign nevus classification
  • Lesion border segmentation and 7-point checklist feature extraction
  • Smartphone camera dermatological triage apps
Recommended Baseline Architecture:

EfficientNet-B4, ConvNeXt, Swin Transformer

Open Source Prompt Repositories

The Big Prompt Library & GitHub Collections

Community-tested prompt engineering collections, agent system prompts, and UI templates.

0xeb3.4k+ stars

The Big Prompt Library

A comprehensive, battle-tested collection of system prompts, multi-persona engineering templates, and coding workflows spanning LLM agents, software scaffolding, and complex technical reasoning.

System prompts for Cursor, Windsurf, Claude & GPT-4o
Complex architecture design & database modeling prompts
Automated code refactoring and unit test generation recipes
View on GitHub / Web
GitHub Open Source120+ Repositories

GitHub Prompt-Library Community Topic

The global curated topic on GitHub aggregating community-driven prompt engineering repositories, LLM jailbreak evaluations, chain-of-thought frameworks, and specialized domain prompts.

Explore trending prompt repositories across AI domains
Curated frameworks for Claude Projects, LangChain & DSPy
Open-source prompt engineering evaluations
View on GitHub / Web
MotionSites.ai#1 UI Prompt Directory

MotionSites AI UI Prompt Library

Premium UI/UX prompt library specifically engineered for rapid app generation in Bolt.new, Lovable.dev, Cursor, and v0. Features dark-themed landing pages, interactive micro-interactions, and full-stack components.

Copy-paste prompts for Lovable, Bolt, Cursor & v0
Production-ready design styles: Obsidian Dark, Glass Minimal, Brutalist
Component-level prompts for dashboards, landing pages & modals
View on GitHub / Web

MedXchange 10-Week Fellowship

Turn Clinical Datasets into Published AI Research

Learn Python for healthcare, build multimodal foundation models on PhysioNet datasets, and co-author indexed clinical papers with medical peers.

View Curriculum →