Latest AI and machine learning research in information technology for healthcare professionals.
Accurate estimation of cancer risk from longitudinal electronic health records (EHRs) could support ...
This study addresses the challenge of creating datasets for cybercrime analysis while complying with...
Clinical Reasoning on Electronic Health Records (EHRs) is a fundamental yet challenging task in mode...
In electronic health records (EHRs), clustering patients and distinguishing disease subtypes are key...
Kidney stone disease ranks among the most prevalent conditions in urology, and understanding the com...
Automated face recognition has made rapid strides over the past decade due to the unprecedented rise...
Clinicians lack precision medicine tools to estimate individualized treatment effects for patients w...
Objective: To develop a workflow that transforms electronic health record data into machine learning...
Automated recognition of autistic behaviors in children is essential for early intervention and obje...
The rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare by enabling s...
High inpatient opioid exposure is associated with increased risk of persistent opioid use. Early ide...
Objective: Behavioral and social factors (BSFs) substantially influence the risk, onset, and progres...
Neonates requiring intensive care are at increased risk for long-term neuropsychiatric disorders. Ho...
This study presents a fully automated methodology for early prediction studies in clinical settings,...
Computational methods have advanced the analysis of animal behavior, yet significant challenges rema...
Longitudinal electronic health records (EHRs) form irregular event sequences that mix multiple clini...
Background: Experiences of violence are reported frequently by mental health service users, victims ...
Background: Electronic health records (EHRs) enable machine learning for diagnosis, prognosis, and c...
Background: Manual chart abstraction is a major bottleneck in clinical research. In oncology, import...
Background: Electronic health records (EHRs) enable machine learning for diagnosis, prognosis, and c...
While large-scale pretraining has revolutionized language modeling, its potential remains underexplo...