Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,801 to 1,810 of 200,546 articles

Impacts of human and digital scribes on improving physician wellness and reducing administrative burden: a scoping review protocol.

BMJ open
INTRODUCTION: The rise in administrative burden on physicians is becoming increasingly recognised as a significant contributor to burnout and job dissatisfaction among primary care practitioners. Human scribes (HS) and digital/artificial intelligence... read more 

AI-MIRACLE: Artificial Intelligence and MultIpaRAmetric MRI Predict CLinical OutcomEs to Neoadjuvant Immunotherapy in Patients with Muscle-invasive Bladder Cancer Undergoing Radical Cystectomy.

European urology oncology
BACKGROUND AND OBJECTIVE: Neoadjuvant immune-checkpoint inhibitors (ICIs) in muscle-invasive bladder cancer (MIBC) were tested in patient's ineligible for cisplatin-based chemotherapy. The PURE-01 trial (NCT02736266) evaluated three courses of pembro... read more 

Artificial intelligence in cardiovascular care for internal medicine: from promising algorithms to useful clinical services.

European journal of internal medicine
Artificial intelligence is expanding rapidly in cardiovascular medicine, but its value in internal medicine depends less on raw model performance than on whether it improves triage, risk targeting, and coordination of care within real-world workflows... read more 

A ferroelectric-ionic-trapping transistor for low power and secure neuromorphic computing.

Nature communications
The convergence of artificial intelligence and pervasive data analytics has created an urgent demand for energy-efficient and secure computing hardware. Neuromorphic synaptic devices emulate the human brain with high parallelism and 3D connectivity t... read more 

Latent biochemical phenotypes delineate divergent health trajectories in older adults.

npj aging
Ageing heterogeneity hampers prevention and care. We used routine biochemical panels and unsupervised learning to identify latent phenotypes in community-dwelling older adults. In 1491 participants from the Toledo Study for Healthy Ageing (TSHA) with... read more 

Novel insights into the binding mechanisms of selected aldehydes during heat-induced protein unfolding.

NPJ science of food
This investigation aimed to clarify the binding mechanisms between six aldehydes and myofibrillar proteins (MPs), with a structural explanation in response to stage-heating treatments. The conformational intermediates of MPs, which form during heat p... read more 

Predictive analysis on mechanical properties, material flow and thermal analysis of friction stir welded dissimilar AA2014/AA7075 Al-alloy joints using machine learning.

Scientific reports
Aluminum alloys are the most ideal materials for aerospace applications, and joining of a light weighted materials with an eco-friendly method is encouraging ongoing research into the green welding technique. In the current work solid-state joints of... read more 

A unified deep learning application framework for forensic shoeprint analysis under data-limited conditions.

Scientific reports
This study presents a data-efficient framework for applying deep learning to forensic shoeprint matching under realistic casework constraints. In forensic practice, deployment is often limited by scarce labeled data, distributional differences betwee... read more 

The role of biopsychosocial factors in classifying pain intensity across various chronic pain conditions.

Scientific reports
Chronic pain is a multifaceted condition shaped by biological, psychological, and social factors, which challenges its diagnosis and treatment. While prior research largely focused on sensory profiles to distinguish pain mechanisms, this study adopte... read more