Tag: AI

Disruptive Tech in the Clinic: AI-Powered Thermography for Early DFU Detection #ActAgainstAmputation

A new diagnostic accuracy study demonstrates how the combination of smartphone-based thermography and artificial intelligence (AI) could revolutionize routine screening for diabetic foot ulcers (DFUs). This technology offers a scalable, objective alternative to traditional manual exams, which are often episodic and highly dependent on examiner expertise. The Tech: TFScan The study evaluated TFScan, a system... Continue Reading →

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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 — 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 →

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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 →

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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 →

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Repair, Regeneration, and Replacement—Redux: A Look into the Future of Medicine @USC @CalTech @UCSF @Rancho_ResearchI @UCLA

How Do We Delay Decay? In 2012, the Repair, Regeneration, and Replacement Revisited lecture posed a fundamental question: How do we delay the inevitable decline of the human body? Now, 13 years later, that question is more relevant than ever. With AI-driven health technologies, regenerative medicine, and bioengineered solutions, we stand at the edge of a new medical revolution. We revisit... Continue Reading →

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@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 USC’s interdisciplinary efforts are transforming what was once science fiction into everyday healthcare solutions. Highlights: • Sukgu Han is using... Continue Reading →

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New Hope Against Superbugs: A Unique Antibiotic Family Targeting Untapped Bacterial Enzyme AntibioticResistance #Superbugs #DrugDiscovery #InfectionControl #DiabeticFootUlcer #McMasterResearch #AntimicrobialResistance

: In an exciting development against antimicrobial resistance, our colleague Dr. Christopher McMaster and his team have pioneered a unique family of antibiotics using computer-aided design to target an enzyme called holo-acyl carrier protein synthase (AcpS). AcpS is critical for bacterial survival, yet remains untargeted by existing antibiotics, making it a highly promising avenue for... Continue Reading →

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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 →

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Harnessing AI in Diabetic Foot Disease: A Leap into 3D Imaging

Harnessing AI in Diabetic Foot Disease: A Leap into 3D Imaging Diabetic foot disease (DFD) is a serious complication of diabetes, often leading to lower limb amputations. With the global prevalence of diabetes on the rise, the urgency to improve early detection and management of DFD has never been greater. A recent systematic review by... Continue Reading →

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Healing Profiles in Patients with a Chronic Diabetic Foot Ulcer: An Exploratory Study with Machine Learning #AI #ML #DeepLearning #DFU #DiabeticFoot #ActAgainstAmputation

"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 →

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