AI Medical Compendium

Reverse AIEE/ACQ Engineering in a Carbon Dot-Quantum Dot Ratiometric Nanosensor: Machine-Learning-Driven Quantitative and Recognition Detection of Biogenic Amines for Food Freshness Monitoring.

Analytical chemistry Apr 2, 2026

Simultaneous profiling of biogenic amines, including spermine, putrescine, cadaverine, histamine, and tyramine, is crucial for assessing food freshness, tracking spoilage progression, and preventing associated foodborne illnesses and adverse health e... read more

Artificial intelligence-driven cluster analysis for identifying clinical phenotypes in suspected sepsis patients in the emergency department.

BMC emergency medicine Apr 2, 2026

DSPONVNet: a multimodal deep learning model integrating intraoperative monitoring and clinical features for predicting postoperative nausea and vomiting risk.

BMC medical research methodology Apr 2, 2026

Application of contrast-enhanced CT-based radiomics with machine learning to predict WHO/ISUP grading in clear cell renal cell carcinoma.

BMC cancer Apr 2, 2026

Second-to-fourth digit (2D:4D) ratio and criminal involvement in schizophrenia.

BMC psychiatry Apr 2, 2026

EHR-derived cognitive load is associated with guideline-concordant statin initiation in primary care.

BMC medical informatics and decision making Apr 2, 2026

INTRODUCTION: Linking electronic health record (EHR) use to care quality may offer insights into potential interventions improving guideline adherence and closing care gaps. We examine how EHR metadata can measure cognitive load in primary care provi... read more

Artificial intelligence-powered liquid biopsy in cancer: a paradigm shift in cancer detection and personalized care.

Cancer cell international Apr 2, 2026

Speech analysis for differentiating bipolar disorder and major depressive disorder during euthymic states.

Annals of general psychiatry Apr 2, 2026

Transformer-based multimodal model for estimation of appendicular lean mass using incomplete chest radiographs and electronic health record.

Journal of translational medicine Apr 2, 2026

A pipeline for developing AI-driven models to predict molecular initiating events: a case study on neural tube defects.

Journal of cheminformatics Apr 2, 2026

Adverse Outcome Pathways (AOPs) describe the sequence of molecular and cellular events that lead to toxicity. Each pathway begins with a Molecular Initiating Event (MIE) and ends in an Adverse Outcome. Early identification of chemical activity on MIE... read more

Artificial Intelligence Medical Compendium

Reverse AIEE/ACQ Engineering in a Carbon Dot-Quantum Dot Ratiometric Nanosensor: Machine-Learning-Driven Quantitative and Recognition Detection of Biogenic Amines for Food Freshness Monitoring.

Artificial intelligence-driven cluster analysis for identifying clinical phenotypes in suspected sepsis patients in the emergency department.

DSPONVNet: a multimodal deep learning model integrating intraoperative monitoring and clinical features for predicting postoperative nausea and vomiting risk.

Application of contrast-enhanced CT-based radiomics with machine learning to predict WHO/ISUP grading in clear cell renal cell carcinoma.

Second-to-fourth digit (2D:4D) ratio and criminal involvement in schizophrenia.

EHR-derived cognitive load is associated with guideline-concordant statin initiation in primary care.

Artificial intelligence-powered liquid biopsy in cancer: a paradigm shift in cancer detection and personalized care.

Speech analysis for differentiating bipolar disorder and major depressive disorder during euthymic states.

Transformer-based multimodal model for estimation of appendicular lean mass using incomplete chest radiographs and electronic health record.

A pipeline for developing AI-driven models to predict molecular initiating events: a case study on neural tube defects.

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Artificial Intelligence Medical Compendium

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