Artificial Intelligence Medical Compendium

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

Showing 22,131 to 22,140 of 216,627 articles

Machine Learning-Driven Simulations of the SARS-CoV-2 Fitness Landscape from Deep Mutational Scanning Experiments.

Journal of chemical information and modeling
Predicting protein variant effects is a key challenge in preparing for pathogenic viral strains, understanding mutation-linked diseases, and designing new proteins. Protein sequence-structure-function relationships are difficult to model due to compl... read more 

EXPRESS: Diagnostic Value of Short-Term Longitudinal Clinical and Laboratory Trajectories for Gram-Negative Bacteremia in ICU Patients.

Journal of investigative medicine : the official publication of the American Federation for Clinical Research
Early identification of gram-negative bacteremia in intensive care units (ICUs) remains challenging at the time of blood culture sampling, when clinical signs are often nonspecific and existing diagnostic approaches typically rely on single-timepoint... read more 

Beyond Scales and Essays: Artificial Intelligence Chatbots as Personality Interviewers.

Journal of personality assessment
AI chatbots offer an interactive method to assess personality through semi-structured interviews. By leveraging natural language processing and machine learning, these chatbots can engage users in conversational exchanges, providing a more nuanced an... read more 

Artificial Intelligence Sees the Image, Radiologists See the Patient.

AJR. American journal of roentgenology
Radiology is often portrayed as the medical specialty most vulnerable to replacement by artificial intelligence (AI), potentially impacting medical students' interest in entering the field. In practice, radiologists' work depends on clinical synthesi... read more 

Risk Stratification for Breast Cancer Screening: AJR Expert Panel Narrative Review.

AJR. American journal of roentgenology
Early detection of breast cancer reduces mortality and is influenced by screening strategies. The balance of benefits and harms within any screening program improves when screening is aligned with an individual patient's cancer risk profile, and spec... read more 

Deep Learning for Synthetic Postcontrast T1-Weighted MRI: A Systematic Review With Targeted Meta-Analysis of Brain Tumor Studies.

AJR. American journal of roentgenology
Background. Gadolinium-based contrast agents remain essential for MRI but carry risks. Deep learning (DL) methods have emerged as a potential approach for synthesizing postcontrast T1-weighted images from precontrast sequences alone. Objective. The o... read more 

Deep learning-based dose prediction in proton beam therapy for hepatocellular carcinoma: comparison of network architectures and loss functions.

Journal of radiation research
In proton beam therapy (PBT) for hepatocellular carcinoma (HCC), deep learning (DL)-based dose prediction offers clinical value by providing immediate reference dose distributions as a guideline tool for treatment planners and enabling virtual PBT do... read more 

Artificial intelligence in retinoblastoma and uveal melanoma: a narrative review.

Expert review of anticancer therapy
INTRODUCTION: Artificial intelligence (AI) is reshaping diagnostic paradigms across oncology. In ophthalmic oncology encompassing conditions like retinoblastoma and uveal melanoma, AI has immense potential due to the specialty's reliance on advanced ... read more 

Blood viscosity in clinical practice: A critical review of diagnostic utility, therapeutic implications, and evidence gaps.

Clinical hemorheology and microcirculation
Blood viscosity is a key rheological measure that is a biomarker of hematological, cardiovascular, and inflammatory conditions. This systematic review analyzed the changing role of blood viscosity and its potential significance in clinical practice. ... read more 

AI chatbots in strabismus care: A multidomain expert evaluation of caregiver-facing information.

European journal of ophthalmology
AimTo evaluate and compare the performance of five artificial intelligence (AI) chatbots-ChatGPT (OpenAI 4), Google Gemini, Grok (xAI), DeepSeek, and Meta Llama -in delivering accurate, clear, educational, and safe responses to caregiver-facing queri... read more