Digital transformation in healthcare
Digital transformation in healthcare is the hospital changing how a fact moves: from a paper chart, a film jacket, and a phone call to a record, an image file, and a visit that can happen off-site. It is not a gadget. It is not a radiology worklist. It is not an interoperability product list. If […]
Data governance in healthcare
Data governance in healthcare is who owns the data, what the rules are, and how you prove it: stewards, catalogs, master patient identity, and the statutes that constrain PHI. It is not picking Redox, and it is not the whole lifecycle of storing and analysing records. If you meant interoperability / HIE products → healthcare […]
Data integration in healthcare
Data integration in healthcare is the work of connecting the systems you already have — EHR, LIS, RIS/PACS, billing, devices — so a fact entered once is available where the next decision happens. The job is architecture and ROI, not a ranked list of HIE vendors. If you meant which interoperability / interface-engine product to […]
Computer vision in healthcare
Computer vision in healthcare is software that reads medical pixels — X-ray, CT, MRI, ultrasound, whole-slide pathology, fundus photos, endoscope video — and returns a mark, a mask, or a score a clinician then uses or ignores. It is not a robot doctor. It does not sign the report. The same job gets sold as […]
Machine learning for medical imaging
Machine learning for medical imaging is software that learns from labeled scans — X-ray, CT, MRI, ultrasound, mammography — and returns a mark, a mask, or a score a clinician then uses or ignores. It is not a robot radiologist. It does not sign the report. The same job gets sold as “machine learning in […]
Artificial intelligence medical devices
Artificial intelligence medical devices are named, cleared products that run a model on a signal or a scan and return a flag, a measurement, or a guided acquisition. This page is a list of those products. It is not how to develop a device, not a QMS, and not a PYCAD catalog. If you meant […]
How to convert DICOM to NIfTI
DICOM to NIfTI conversion is a series extract: point dcm2niix at a DICOM folder, get one .nii / .nii.gz plus a BIDS JSON sidecar. The same job in Python is dicom2nifti.dicom_series_to_nifti. This page is that how-to. It is not NIfTI → DICOM, and it is not a DICOM-vs-NIfTI explainer. If you meant wrap a NumPy […]
Medical device development process
The medical device development process is Phase 0–5: clinical need → business plan → design and prototype → verification and validation → final design and clearance → launch and post-market surveillance. It is how a device is built. It is not the 510(k) tree, not the QMS how-to, and not the launch plan. If you […]
Medical image processing
Medical image processing is the set of computational steps that turn a raw CT, MRI, PET, or ultrasound into something you can measure or fuse. It is the field, not a product list. The software that runs these steps is image analysis software. Segmentation as its own job is medical image segmentation. Three techniques do […]
Healthcare data management
Healthcare data management is the lifecycle: capture, store, keep usable, and retire clinical and operational data so care can run. It is the umbrella landing, not the deep-dive on any one layer. If you meant who owns the rules → data governance in healthcare. If you meant connecting the systems → data integration in healthcare. […]