Academic Articles & Research Papers

Artificial Intelligence for Drug Toxicity and Safety

Empirical methods for artificial intelligence

Empirical research exploratory data analysis basic issues in experiment design hypothesis testing and estimation computer-intensive statistical methods performance assessment explaining performance - interactions and dependencies modelling ...

Logic and artificial intelligence

The theoretical foundations of the logical approach to artificial intelligence are presented. Logical languages are widely used for expressing the declarative knowledge needed in artificial intelligence systems. Symbolic logic also provides...

Readings in Artificial Intelligence

Artificial intelligence meets natural stupidity

As a field, artificial intelligence has always been on the border of respectability, and therefore on the border of crackpottery. Many critics , have urged that we are over the border. We have been very defensive toward this charge, drawin...

AI in predicting the macrotrabecular-massive subtype of HCC and informing treatment selection: a multi-center and prospective validation study.

Single lead electrocardiographic detection of left ventricular systolic dysfunction in pediatric and congenital heart disease.

Geometric-aware deep learning for deciphering tissue structure from spatially resolved transcriptomics.

Advancing genomics and integration of multi-omics for precision oncology using quantum machine learning.

Gamma oscillations provide a stable geometric scaffold for color representation in primate inferior temporal cortex.

A clinician aligned vision language framework for stepwise interpretation in fundus fluorescein angiography.

Pro-inflammatory diet association with sudden sensorineural hearing loss: a case-control study.

Ethical Decision-Making in the Workplace: Which Factors Influence Decision-Makers' Willingness to Revise Their Decisions due to AI-Generated Suggestions?

The unreasonable likelihood of being: origin of life, terraforming, and AI.

Spatiotemporal deep learning for early detection of isolated REM sleep behavior disorder and Parkinson's disease using functional MRI data.

Impact of an AI algorithm for multi-day prediction of incident atrial fibrillation on clinical decision-making: PROVISION-AF study.

Masked attribution-based probing of strategies as a computational framework to align human, non-human primate, and model explanations.

Computer-guided dosing of multi-specific T-cell engagers.

AI agents in clinical practice: an evidence map.

Multi-omics fusion with machine learning enables robust prediction of treatment response in ovarian cancer for precision population health.