Latest AI and machine learning research in product alert for healthcare professionals.
This study investigated whether readily available, generative AI models, could be used to answer MR ...
Antibodies against the SARS-CoV-2 spike receptor-binding domain provided effective COVID-19 treatmen...
Falls among elderly residents in assisted living facilities (ALFs) are prevalent, costly, and freque...
Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...
Magnetic resonance imaging (MRI) plays a central role in diagnosing multiple sclerosis (MS), yet con...
Traditional LDL-C testing barriers—mandatory 9–12 hour fasting and inperson visits—disproportionatel...
Diffuse myocardial fibrosis contributes to adverse remodeling and heart failure progression in non-i...
Severe cutaneous adverse reactions (SCARs), including Stevens-Johnson syndrome/toxic epidermal necro...
Obesity is a global public health concern, often co-occurring in patients with severe mental illness...
The rapid advancement of artificial intelligence and machine learning (AI/ML) technologies in health...
Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...
Post-disaster assessments of buildings and infrastructure are crucial for both immediate recovery ...
Refusals - instances where large language models (LLMs) decline or fail to fully execute user inst...
Despite the impressive synthesis quality of text-to-image (T2I) diffusion models, their black-box ...
The MitraClip is the most widely percutaneous treatment for mitral regurgitation, typically perfor...
Advancements in foundation models (FMs) have led to a paradigm shift in machine learning. The rich...
Social media users articulate their opinions on a broad spectrum of subjects and share their exper...
Post-training quantization (PTQ) reduces excessive hardware cost by quantizing full-precision mode...
Personalized generative diffusion models, capable of synthesizing highly realistic images based on...
Deep hash-based retrieval techniques are widely used in facial retrieval systems to improve the ef...
Clinical trials are an indispensable part of the drug development process, bridging the gap betwee...