#Hydrogel –elastomer-based conductive nanomembranes for soft #bioelectronics

Conformal integration of electronics with soft, irregular organ topologies remains challenging, as tissue-like platforms with bulky dimensions ranging from a few millimetres to several hundred micrometres result in incomplete signal acquisition and chronic tissue compression. Although ultrathin nanoscale devices have recently been developed to address these challenges, they involve complex and delicate handling processes that… Continue reading #Hydrogel –elastomer-based conductive nanomembranes for soft #bioelectronics

Associations of #Wearable- Measured #Sleep and #Physical Activity With #Memory Performance in Older Adults: Cross-Sectional Study With Actigraphy and MRI

Background: Cognitive decline is a common aspect of aging, and identifying modifiable lifestyle factors-such as physical activity and sleep-are crucial for promoting healthy brain aging. While both are individually linked to cognition, few studies have simultaneously assessed their independent and combined effects using objective wearable-based data, particularly in older Asian populations.Objective: This study aimed to… Continue reading Associations of #Wearable- Measured #Sleep and #Physical Activity With #Memory Performance in Older Adults: Cross-Sectional Study With Actigraphy and MRI

#Subretinal Photovoltaic Implant to Restore #Vision in Geographic Atrophy Due to AMD

Geographic atrophy due to age-related macular degeneration (AMD) is the leading cause of irreversible blindness and affects more than 5 million persons worldwide. No therapies to restore vision in such persons currently exist. The photovoltaic retina implant microarray (PRIMA) system combines a subretinal photovoltaic implant and glasses that project near-infrared light to the implant in… Continue reading #Subretinal Photovoltaic Implant to Restore #Vision in Geographic Atrophy Due to AMD

AI in Hand #Surgery: Assessing Large Language Models in the Classification and Management of #Hand Injuries

AbstractBackground: OpenAI's ChatGPT (San Francisco, CA, USA) and Google's Gemini (Mountain View, CA, USA) are two large language models that show promise in improving and expediting medical decision making in hand surgery. Evaluating the applications of these models within the field of hand surgery is warranted. This study aims to evaluate ChatGPT-4 and Gemini in… Continue reading AI in Hand #Surgery: Assessing Large Language Models in the Classification and Management of #Hand Injuries

The Future of #Artificial #Intelligence in Medical Education and Continuing #Medical Education

In this article, we explore the transformative potential of artificial intelligence (AI) in medical education and continuing medical education. We discuss the rapid evolution of AI technology, particularly generative AI and large language models, and their implications for teaching and learning. We emphasize the importance of AI literacy, ethical considerations, and evidence-based approaches to integrating… Continue reading The Future of #Artificial #Intelligence in Medical Education and Continuing #Medical Education

#Artificial #Intelligence and #Machine #Learning Applications in #Liver Disease

AbstractArtificial intelligence and machine learning are transforming hepatology by integrating clinical, laboratory, imaging, and wearable data for earlier diagnosis, risk prediction, and patient management. These technologies enable personalized care and noninvasive monitoring across metabolic dysfunction-associated steatotic liver disease, cirrhosis, hepatitis C, liver transplantation, and hepatocellular carcinoma. Ongoing advances in digital health and interpretability will enhance… Continue reading #Artificial #Intelligence and #Machine #Learning Applications in #Liver Disease

#Artificial #intelligence in #myeloid malignancies: Clinical applications of machine learning in myelodysplastic syndromes and acute myeloid #Leukemia

This review summarizes applications of machine learning (ML) in acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS), spanning diagnosis, prognostication, treatment prediction, and research tools. In diagnostics, deep learning applied to bone marrow smears, peripheral blood films, and flow cytometry has shown high sensitivity and specificity, outperforming conventional methods. ML-driven unsupervised clustering and consensus classification… Continue reading #Artificial #intelligence in #myeloid malignancies: Clinical applications of machine learning in myelodysplastic syndromes and acute myeloid #Leukemia

Automatic #robotic doppler #sonography of leg #arteries

PurposeRobot-assisted systems offer an opportunity to support the diagnostic and therapeutic treatment of vascular diseases to reduce radiation exposure and support the limited medical staff in vascular medicine. In the diagnosis and follow-up care of vascular pathologies, Doppler ultrasound has become the preferred diagnostic tool. The study presents a robotic system for automatic Doppler ultrasound… Continue reading Automatic #robotic doppler #sonography of leg #arteries

Beyond human ears: navigating the uncharted risks of #AI scribes in clinical #practice

Artificial intelligence (AI) scribes have been rapidly adopted across health systems, driven by their promise to ease the documentation burden and reduce clinician burnout. While early evidence shows efficiency gains, this commentary cautions that adoption is outpacing validation and oversight. Without greater scrutiny, the rush to deploy AI scribes may compromise patient safety, clinical integrity,… Continue reading Beyond human ears: navigating the uncharted risks of #AI scribes in clinical #practice