AI Identifies Retinal Biomarkers for Preeclampsia

AI Identifies Retinal Biomarkers for Preeclampsia

TOPLINE: Changes to retinal blood vessels may be an indicator of development of preeclampsia, according to a poster presented at the 2024 meeting of the Society for Reproductive Investigation. METHODOLOGY: Preeclampsia is a leading cause of maternal death and is associated with changes to the vasculature of the eyes, leading to symptoms such as blurred …

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AI Chatbots vs Ophthalmology Specialists

AI Chatbots vs Ophthalmology Specialists

TOPLINE: A large language model (LLM) chatbot demonstrated proficiency in ophthalmology, matching or outperforming specialists in the management of glaucoma and retina cases. METHODOLOGY: Researchers asked 12 attending physicians and three senior trainees from the department of ophthalmology at Icahn School of Medicine at Mount Sinai, New York City, to respond to 20 ophthalmological questions …

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Milk May Lower T2D Risk in Patients With Lactose Intolerance

Milk May Lower T2D Risk in Patients With Lactose Intolerance

Patients with lactose intolerance are usually advised to avoid milk. However, many still consume dairy products despite experiencing gastrointestinal symptoms. Surprisingly, this “unreasonable” strategy may have the benefit of reducing the risk for type 2 diabetes, as shown in a recent American study. “At first glance, the statement of the study seems counterintuitive,” said Robert …

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Teledermatology study exposes skin tone diagnosis gaps, AI offers improvement

Teledermatology study exposes skin tone diagnosis gaps, AI offers improvement

In a recent study published in the journal Nature Medicine, researchers tested the ability of specialized and general physicians to diagnose skin illness across skin tone in a simulated teledermatology situation. Deep learning-based approaches for image-based diagnosis can improve clinical decisions, but their efficacy is unknown owing to systematic mistakes, particularly when assessing underrepresented groups. …

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When AI Enables the Discovery of New Antibiotics

When AI Enables the Discovery of New Antibiotics

Artificial intelligence has identified a new class of antibiotics against methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that has become resistant to treatments. This bacterium is annually responsible for the deaths of millions of people worldwide. This discovery could be a game-changer. This isn’t the first time that AI has come to the aid of medicine. …

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In breakthrough, neural network ‘explains’ how it found a new antibiotic

In breakthrough, neural network ‘explains’ how it found a new antibiotic

What connects ChatGPT and antibiotics? History has a curious answer: 1944. In that year, scientists proposed the first artificial neural network, a technology that later led to the birth of deep-learning and artificially intelligent systems like ChatGPT. The same year, biologists discovered streptomycin, the world’s first aminoglycoside antibiotic. It would soon revolutionise the treatment of …

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How AI can help detect cancer | Explained News

How AI can help detect cancer | Explained News

Given the escalating cases of cancer, the shortage of specialists poses a significant challenge in curbing fatalities. To address this gap, Mumbai’s Tata Memorial Hospital (TMH), the biggest cancer hospital in India, is turning to artificial intelligence (AI). By established a ‘Bio-Imaging Bank’ for cancer, the hospital is utilising deep learning to craft a cancer-specific …

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AI model accurately predicts breast cancer risk across multiple races

AI model accurately predicts breast cancer risk across multiple races

A deep learning artificial intelligence (AI) model that was developed using only mammogram image biomarkers accurately predicted both ductal carcinoma in situ (DCIS) and invasive carcinoma, according to research being presented today at the annual meeting of the Radiological Society of North America (RSNA). Additionally, the model showed no bias across multiple races. Traditional breast …

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