8 docs tagged with "healthcare"

Regulatory landscape for healthcare AI - FDA SaMD classification, 510(k) vs PMA clearance, EU AI Act, HIPAA compliance for AI, bias auditing, and post-market surveillance for deployed medical AI systems.

Building NLP pipelines on Electronic Health Records - named entity recognition for clinical text, negation detection, de-identification for HIPAA compliance, and fine-tuning BERT variants on medical corpora.

How AI accelerates pharmaceutical research - AlphaFold protein structure prediction, graph neural networks for molecular property prediction, generative chemistry, and virtual screening for drug candidates.

Training ML models across hospital systems without sharing patient data - FedAvg algorithm, differential privacy, non-IID data challenges, NVIDIA FLARE, and practical multi-hospital federated learning with Flower.

AI for genomics and protein science - AlphaFold 2 architecture, variant calling, polygenic risk scores, DNA language models, and practical protein structure prediction with ESMFold.

Deep learning for radiology and pathology - CNN architectures, DICOM pipelines, transfer learning from ImageNet to medical domains, and clinical deployment considerations including FDA clearance.

Building clinical prediction models for hospital readmission, ICU mortality, and sepsis onset - feature engineering from EHR data, LSTM models for vital sign time series, survival analysis, calibration, and deployment in clinical workflows.

Deploying radiology AI into clinical workflows - PACS integration, DICOM processing, FDA clearance, worklist prioritization, and monitoring for distribution shift in live hospital environments.