On diabetic foot, wound healing, amputation prevention, and the merger of consumer tech with medical devices
A scoping review from Kanazawa University maps 60 studies on AI-powered thermography for diabetic foot detection — and reveals a critical gap: nearly half of all studies were tested only in controlled environments, not the real world where feet actually live.
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 — 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 →
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 →
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 →
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 USC’s interdisciplinary efforts are transforming what was once science fiction into everyday healthcare solutions. Highlights: • Sukgu Han is using... Continue Reading →
By Michele Keller • April 9, 2024 Image/Adobe Stock Bedsores—also known as pressure injuries—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 →
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: 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 →
"Healing Profiles in Patients with a Chronic Diabetic Foot Ulcer: An Exploratory Study with Machine Learning" focuses on the complex healing process of diabetic foot ulcers (DFU). It uses machine learning and decision trees to assess healing and prognosis risk profiles in patients. Evaluating various factors, including clinical, biochemical, and psychological aspects, the study identifies... Continue Reading →
A recent study published in Springer Link has revealed the potential of Dolastatin 16 as a diabetic wound healing agent[1]. Diabetic foot ulcers are a significant complication of diabetes, and finding effective treatments is crucial to prevent amputations and improve patients' quality of life. In this blog post, we will discuss the findings of this... Continue Reading →
