🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Newswise: A new study, published in Mayo Clinic Proceedings: Digital Health, emphasizes a unique vision in which AI’s true strength lies in generating large-scale multi-omics insights to bolster, not replace, clinical expertise. bit.ly/4c2QTIo

AI-enabled patient engagement technologies may provide capacity for more consistent, personalized communications and information delivery, earlier responses to patient queries, and scheduling, telehealth services, and general support. bit.ly/4iNjfZI

Simone Zappalà, PhD, a data scientist at U-Care Medical in Torino, Italy, discusses PersEA, a real-time machine learning model that health care providers can use as an early warning system, potentially preventing progression of kidney failure, bit.ly/4iWYUl4

Ambient artificial intelligence platforms can significantly reduce clinician cognitive load, addressing a critical issue impacting both health care providers and patients, and contributing to the evidence supporting AI integration in clinical practice. bit.ly/3E7BJFo

Ambient artificial intelligence platforms can significantly reduce clinician cognitive load, addressing a critical issue impacting both health care providers and patients, and contributing to the evidence supporting AI integration in clinical practice. bit.ly/3E63RZA

Mayo Clinic News Network: The authors of the top clinical abstracts in the Machine Learning for Healthcare Conference 2025 will be invited to submit an enhanced version to Mayo Clinic Proceedings: Digital Health. mayocl.in/4iZnCBd

This deep learning framework using a handheld device is transformative, especially for clinicians without extensive training in echocardiographic data collection and those in resource-poor settings lacking sophisticated echocardiographic equipment. bit.ly/3R4fGlU

Ambient artificial intelligence platforms can significantly reduce clinician cognitive load, addressing a critical issue impacting both health care providers and patients, and contributing to the evidence supporting AI integration in clinical practice. bit.ly/4cveaDm

Author Highlights: Canio Martinelli, MD, a researcher and physician of obstetrics and gynecology, shares insights from his article, suggesting that AI-enhanced decision-making may offer particular benefits in OB-GYN training programs and beyond. bit.ly/42oD42O

This research presents a streamlined and efficient methodology for creating an automated 3D convolutional neural networks-based quality evaluation tool for video coronary angiograms, exhibiting relevant accuracy and effectiveness. bit.ly/425ICjM

While the debate around the use and regulation of large language model-based health applications progresses slowly, the number and use of these technologies is advancing rapidly. Where's the middle ground? bit.ly/3RMimES

This study shows a closed-domain large language model has the potential to considerably reduce the workload of clinical care teams by generating high-quality, timely responses for in-basket message interactions. bit.ly/3GbWy36

Using machine learning models to predict inpatient admissions from emergency department triage data can improve patient flow management, efficiency, and patient outcomes, and reduce overcrowding, bit.ly/42PYebm

Mayo Clinic News Network -- Top 10 abstracts from Mayo Clinic's 2025 AI Summit: Generative AI, Information Retrieval and Evidence-Based Medicine to be published in Mayo Clinic Proceedings -- Digital Health. mayocl.in/3EDw1ew

Mayo Clinic Proceedings: Digital Health was launched 2 years ago with the goal of offering an international peer-reviewed medium for clinicians and scientists engaged in transformative health care to convey advances in digital medicine. bit.ly/448CdG0

The diversity of regulatory approaches or "frameworks" for incorporating artificial intelligence into medical device software underscores the urgent need for coordinated global standards to govern development, deployment, and monitoring. bit.ly/430QhjB

AI-enabled patient engagement technologies may provide capacity for more consistent, personalized communications and information delivery, earlier responses to patient queries, and scheduling, telehealth services, and general support. bit.ly/42xQxGN

Ambient artificial intelligence platforms can significantly reduce clinician cognitive load, addressing a critical issue impacting both health care providers and patients, and contributing to the evidence supporting AI integration in clinical practice. bit.ly/4iGD1oX

This deep learning framework using a handheld device is transformative, especially for clinicians without extensive training in echocardiographic data collection and those in resource-poor settings lacking sophisticated echocardiographic equipment. bit.ly/3YvRAEM

This research presents a streamlined and efficient methodology for creating an automated 3D convolutional neural networks-based quality evaluation tool for video coronary angiograms, exhibiting relevant accuracy and effectiveness. bit.ly/3EYrFim