Artificial Intelligence Medical Compendium

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

Showing 66,181 to 66,190 of 232,257 articles

UniSplicer: A deep-learning framework for accurate splice-site prediction and splice-altering mutation detection across diverse taxa.

Plant communications
RNA splicing removes non-coding introns from pre-mRNA to generate mature mRNA in eukaryotes, and accurate identification of splice sites is essential for understanding gene structure and regulation. Traditional gene annotation and splice-site predict... read more 

Using the Electronic Health Record and Artificial Intelligence to Guide Clinical Decision-Making.

Clinics in colon and rectal surgery
Electronic medical records (EMR) have transformed how clinical information is documented, shared, and utilized over the past 60 years, and the addition of artificial intelligence (AI) has vastly broadened EMR's capabilities. Targeted comprehensive pr... read more 

Identifying diagnostic neuroimaging biomarkers for adolescent major depressive disorder.

Journal of affective disorders
BACKGROUND: The increasing incidence of adolescent depression represents a serious public health concern. Despite clear diagnostic criteria, the wide range of symptoms and their overlap with other psychiatric disorders make it difficult to provide ef... read more 

ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment.

Neural networks : the official journal of the International Neural Network Society
In abdominal CT imaging, optimizing the balance between radiation dose and image quality is crucial, and the primary prerequisite is accurate image quality assessment. Clinical practice uses doctors' subjective judgment as the gold standard, but it i... read more 

Dysfunctional resting state network connectivity predicts postoperative delirium after major surgery.

British journal of anaesthesia
BACKGROUND: Postoperative delirium is associated with increased morbidity, mortality, future cognitive decline, or dementia. Understanding the neural mechanisms that differentiate individual brain vulnerabilities is critical for future therapeutic de... read more 

Predicting Postoperative Discharge Status and Readmissions in Spinal Metastatic Disease Using Machine Learning Models.

Journal of neurological surgery. Part A, Central European neurosurgery
Operative management of spinal metastatic disease is largely for symptom palliation rather than curative and revolves around the expectation that postoperative survival will exceed recovery time. While several scoring systems and models to predict su... read more 

Instantaneous Abdominal T2* Mapping via Single-Shot MOLED Under Free-Breathing: A Preliminary Study of Hepatic Glycometabolism Imaging.

Magnetic resonance in medicine
PURPOSE: To propose a gradient-echo multiple overlapping-echo detachment (GRE-MOLED) method for rapid abdominal T2* mapping, and to systematically validate its efficacy in non-invasive monitoring of dynamic hepatic glycometabolism. METHODS: The GRE-M... read more 

The Role of Perioperative Artificial Intelligence in Colon and Rectal Surgery.

Clinics in colon and rectal surgery
Artificial intelligence (AI) is rapidly transforming surgical practice with growing applications in colon and rectal surgery. This review explores perioperative AI tools that assist with operative planning, intraoperative guidance, and outcome optimi... read more 

Artificial Intelligence and Skills Training in Resident Education.

Clinics in colon and rectal surgery
Artificial intelligence (AI) is rapidly transforming surgical education. AI is defined by the characteristics of objectivity, live feedback, and adaptive learning environment and is well suited for mentor-led self-directed learning. AI can be used to... read more