Pancreatic cystic neoplasms (PCN) are critical precursors for early pancreatic cancer detection, yet current diagnostic methods lack accuracy and consistency. This multicenter study developed and validated an artificial intelligence (AI)-powered CT model (PCN-AI) for…
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Nearly every physician I meet wants to talk about AI scribe solutions, and whether I think they will truly help put the joy back in medicine.
The first thing I think about when confronted…
Deborah Tosline, author of Skin Remodeling DIY: An Introduction to the Underground World of Do-It-Yourself Skin Care again joins eHealth Radio and the Health News Channel. Deborah has long been passionate about health and well-being….
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Autism spectrum disorder (ASD) is a prevalent childhood-onset neurodevelopmental condition. Early diagnosis remains challenging by the time, cost, and expertise required for traditional assessments, creating barriers to timely identification. We developed an AI-based screening…
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This study examines the stressor-response process in physical activity among 226 participants across four countries. We analyzed their step count collected via activity monitors before and after a significant stressor: the COVID-19 lockdown. Results…
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To address the diversity of skin conditions and the low prevalence of skin cancers, we curated a large hospital dataset (National Information Society Agency, Seoul, Korea [NIA] dataset; 70 diseases, 152,443 images) and collected…
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This systematic review explores the relationship between digital biomarkers, measured using wearable devices, and fatigue in patients with chronic diseases. Studies included in this review focused on individuals with diseases or conditions in 13…
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Dr. Seth Robinson, Medical Director, Tesla BioHealing
For millennia, light has symbolized vitality and healing across cultures and religions. Ancient traditions, from Ayurveda’s prana to the radiant halos in Christian iconography, often depicted light as…
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Clinical trials support the iterative advancement of modern medicine. However, challenges in achieving population-representativeness or participant sampling commensurate with the burden of disease can limit the generalizability and reproducibility of trial results. Here, we…
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Recent advances in artificial intelligence, particularly large language models (LLMs), show promise for mental health applications, including the automated detection of depressive symptoms from natural language. We fine-tuned a German BERT-based LLM to predict…
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