Artificial Intelligence Medical Compendium

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

Showing 2,641 to 2,650 of 167,235 articles

Augmenting Chemical Databases for Atomistic Machine Learning by Sampling Conformational Space.

Journal of chemical information and modeling
Machine learning (ML) has become a standard tool for the exploration of the chemical space. Much of the performance of such models depends on the chosen database for a given task. Here, this aspect is investigated for "chemical tasks" including the p... read more 

Retrospective evaluation of interval breast cancer screening mammograms by radiologists and AI.

European radiology
OBJECTIVES: To determine whether an AI system can identify breast cancer risk in interval breast cancer (IBC) screening mammograms. read more 

Prediction of the risk of transplant rejection based on RNA sequencing data of PBMCs before transplantation.

Scientific reports
Novel methods for detecting transplant rejection are craved, since conventional methods can detect ongoing rejection that may sometimes have already caused irreversible damage in transplanted organs. Here, we applied a transcriptomics database of rec... read more 

Enhanced gastrocnemius-mimicking lower limb powered exoskeleton robot.

Journal of neuroengineering and rehabilitation
BACKGROUND: Lower limb muscle bionic devices have attracted significant attention in rehabilitation and assistive sports technology. Despite advancements in mimicking human movement, current devices still face challenges in enhancing strength and mov... read more 

Colorimetric detection of bisphenol A in water: a smartphone-based sensor using inverse opal molecularly imprinted photonic crystal hydrogel.

The Analyst
Molecularly imprinted photonic crystal hydrogel (MIPCH) serves as a highly effective platform for the sensitive and selective detection of various analyte molecules. In this study, we present a smartphone-based inverse opal MIPCH (IOMIPCH) sensor des... read more 

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce biologi... read more 

Mapping EEG-based hypnosis research: a bibliometric study.

The American journal of clinical hypnosis
Hypnosis, traditionally studied as a psychological phenomenon, is increasingly explored through electroencephalography (EEG) to monitor alterations in brain activity associated with the hypnotic state. This study provides a bibliometric analysis of E... read more 

Machine learning for predicting crohn's disease from routine blood tests years before diagnosis: results from the epi-IIRN cohort.

Journal of Crohn's & colitis
OBJECTIVES: In this nationwide study, we used the epi-Israeli Inflammatory Bowel Disease (IBD) Research Nucleus (IIRN) validated cohort to explore the utility of routine blood tests as markers predicting IBD occurrence years before diagnosis. read more 

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Bioscience trends
Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistently high. Treatment methods for hepatobiliary tumors include surgical intervention, ablation, embolization, and pharmacological treatments, with surger... read more 

Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment.

Nature reviews. Clinical oncology
Cancer of unknown primary (CUP) is a metastatic malignancy for which a primary site of origin cannot be identified despite a thorough and standardized diagnostic work-up, and accounts for 1-3% of all malignancies. An unfavourable subgroup of CUP has ... read more