Your Eye May Know Before You Do: #AI #DiabetesScreening From a Single Photo @BioTransportAI

A Pasadena startup lets you check your diabetes risk with a single smartphone eye photo and a few questions โ€” no needles, no lab. The direction is right: move screening upstream, make it free, make it fast.

Dosing Walking Like a Drug: An AI Chatbot for Diabetic Foot Remission Following Limb Reconstruction #ActAgainstAmputation #DiabeticFoot #Remission #AI #Chatbot @SensorsMDPI @KeckSchool_USC @ALPSLimb @USC_Vascular

A new protocol paper in Sensors describes a chatbot that doses walking like a drug for patients in diabetic foot remission.

Sunday Morning Wish Fulfilled: AI Meets Thermometry in Diabetic Foot Remission โ€” A Scoping Review of 60 Studies #ActAgainstAmputation #AI #Thermography #DFU

A scoping review from Kanazawa University maps 60 studies on AI-powered thermography for diabetic foot detection โ€” and reveals a critical gap: nearly half of all studies were tested only in controlled environments, not the real world where feet actually live.

Interpretable Machine Learning to Predict DFU Recurrence #ActAgainstAmputation @alpslimb @KeckSchool_USC @USC_Vascular #AI

I Reflections on new work from the International Flow and Toe Research Team (iFORT) One of the most persistent challenges in limb preservation is not the first ulcer โ€” it is the next one. Recurrence remains a defining feature of the disease, with up to 60% of people developing a new ulcer within three years... Continue Reading →

Machine Learning to Diagnose Complications of #Diabetes #AI/ML

A new manuscript in the Journal of Diabetes Science and Technology from our global team explores how machine learning is being used to detect, diagnose, and even predict complications of diabetes. The paper, authored by Agatha Scheideman, Mandy Shao, Henry Zelada, Jorge Cuadros, Joshua Foreman, Pinaki Sarder, Cindy Ho, Niels Ejskjaer, Jesper Fleischer, Simon Lebech... Continue Reading →

2027 and the Rise of Machines: A Future Foretold #AI2027

AI 2027: A Glimpse into Our Near Future In early April 2025, the AI Futures Project released a comprehensive scenario forecast titled AI 2027, projecting a transformative period in artificial intelligence development. The report anticipates that by 2027, AI systems will surpass human intelligence, leading to profound societal and geopolitical changes.  The Road to Superintelligence According... Continue Reading →

@USC Leads the Charge in AI-Driven Healthcare Innovation

At the forefront of medical breakthroughs, USC researchers and clinicians are harnessing the power of artificial intelligence (AI) to redefine patient care. From 3D-printed organs and spray-on skin to AI-powered diagnostic tools, the innovations emerging from USCโ€™s interdisciplinary efforts are transforming what was once science fiction into everyday healthcare solutions. Highlights: โ€ข Sukgu Hanย is using... Continue Reading →

USC-Led Study Leverages Artificial Intelligence to Predict Risk of Bedsores in Hospitalized Patients @USCMann @KeckSchool_USC @USC_Vascular @DrWmPadula

By Michele Keller โ€ข April 9, 2024 Image/Adobe Stock Bedsoresโ€”also known as pressure injuriesโ€”are the fastest rising hospital-acquired condition, according to the U.S. Agency for Healthcare Research in Quality, and as a result have become the second most common reason for medical malpractice suits in the United States.  Although most hospital-acquired pressure injuries are reasonably preventable,... Continue Reading →

The Diabetic Foot Ulcers Grand Challenge: Advancing Medical Image Segmentation #AIML #Image #AI #ActAgainstAmputation

In the realm of medical imaging and diagnostics, the Diabetic Foot Ulcers Grand Challenge (DFUC) 2022 stands out as a potential milemarker. Spearheaded by Moi Hoon Yap and coworkers, this challenge has pushed the boundaries of what's possible in the segmentation of diabetic foot ulcers (DFUs) using deep learning techniques. The challenge not only provided... Continue Reading →

Diabetic Foot Screening Guidelines and the Role of Artificial Intelligence: Time to Turn the Tide!

Diabetic Foot Screening: Embracing AI for a Healthier Future In the face of rising foot amputations despite medical and technological advancements, a recent manuscript by Cynthia Formosa, Nachiappan Chockalingam, Nikolaos Papanas, and Alfred Gatt calls for a radical shift in diabetic foot management towards prevention and early diagnosis[1]. The Current Challenge Diabetes mellitus (DM) is... Continue Reading →

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