On diabetic foot, wound healing, amputation prevention, and the merger of consumer tech with medical devices
A Stanford team has taught an algorithm to translate Doppler sounds into clinically meaningful ankle-brachial index ranges—potentially bringing vascular assessment closer to the point of care.
Large language models can describe the world. Embodied AI must act in it. The likely progression—from factories, to hospitals, to homes—is a rising test of repeatability, accountability, and trust.
A new formative study of an in-home full-color imaging scale offers a glimpse of the Foot Selfie’s next chapter—from early home plantar photography and smartphones to AI, co-creation, and ambient monitoring.
Now published in Surgery: one clinician used conversational AI to vibe-code three interactive data platforms (local, national, and global), translating 15 years of amputation evidence into public tools in under a week at essentially no cost.
Three new papers converge on a two-cent idea: the neutrophil percentage-to-albumin ratio (NPAR) measures the balance between inflammatory injury and nutritional reserve — tracking both how bad the diabetic foot is now and how the patient fares over years. Plus a clear-eyed look at why AI-driven precision nutrition isn't here yet, and what it will take.
A guest essay by Dr. Lucian Feraru. As ambient scribes and AI engines learn to write the note, summarize the chart, and flag the risk, the physician's job quietly changes — from author to auditor. Feraru argues the next real clinical skill is not generation but verification, and warns against a bargain in which the machine gets the speed, the doctor gets the liability, and the patient gets whatever slips through the gap.
Two diabetic foot data engines published the same day on two continents. STEADY (US) is a 5,000-patient, AI-enabled real-world registry; DARE-DiaFoot (Italy) is a deep, multi-instrumental phenotyping protocol that quietly studies remission. One is the census, the other the core sample. Together with EURODIALE, the U.S. Wound Registry, and the National Diabetes Foot Care Audit, they sketch a blueprint for finally measuring what we manage.
A new paper in BMC Health Services Research describes how we co-created a Foot Selfie app with, not for, people living with diabetes, caregivers, and clinicians in urban Lima and semi-rural Piura, Peru. Here is how the end-users redesigned remote diabetic foot surveillance to fit the rooms where it actually happens.
A Pasadena startup lets you check your diabetes risk with a single smartphone eye photo and a few questions — no needles, no lab. The direction is right: move screening upstream, make it free, make it fast.
A new protocol paper in Sensors describes a chatbot that doses walking like a drug for patients in diabetic foot remission.
