
Artificial intelligence and telemedicine in elderly healthcare: A mixed-methods study.
AI & telemedicine in elderly care: 52% usage, urban-rural gaps, digital literacy impacts. Key barriers: cost, trust, literacy. 📊👵💻
Discover the newest research about AI innovations in ⚖️ AI Ethics.

AI & telemedicine in elderly care: 52% usage, urban-rural gaps, digital literacy impacts. Key barriers: cost, trust, literacy. 📊👵💻

MHRA seeks public input on AI regulation in healthcare. 🏥 Your views can shape safe AI use. 🗣️

AI tools may misinterpret patient data in electronic records, leading to inaccuracies. Human oversight remains essential for data integrity. 🏥🔍

Wearable tech and AI boost healthy aging, enhancing well-being and independence for older adults. 📈🧓💡

Advancements in computational pathology enhance precision oncology. Foundation models improve accuracy and efficiency in cancer diagnosis. 🧬🔬

Data-driven research priorities identified: 25% hospitalizations due to pregnancy-related conditions. Key focus on AI, telemedicine, and patient care. 📊🏥

NHS Confederation collaborates with Limbic to enhance AI in mental health services, aiming for improved access and care. 🤝🧠

Exploring predictive control in visual attention: gaze behavior reflects cognitive states like expectation and learning. 🧠👀

Exploring multimodal AI in healthcare: promises, challenges, and strategies for equitable patient outcomes. 🤖💉

AI in Speech Therapy: 65% of therapists optimistic about its future use, yet 41% worry about losing the ‘human-factor.’ 🤖💬