Artificial Intelligence Medical Compendium

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

Showing 9,261 to 9,270 of 208,566 articles

Predictors of warfarin therapeutic dose across thromboembolic indications: an exploratory early clinical evaluation study using machine learning-integrated explainable artificial intelligence and Bayesian models.

Expert review of clinical pharmacology
BACKGROUND: Warfarin dosing varies widely due to genetic, demographic, and clinical factors, but it is unknown whether the importance, equilibrium and prediction uncertainty of established pharmacogenetic predictors (VKORC1 and CYP2C9) differ between... read more 

The positive predictive value of ICD-10-AM S06.0~ concussion codes for mild traumatic brain injury.

Health information management : journal of the Health Information Management Association of Australia
BACKGROUND: Increasing concern regarding long-term consequences of mild traumatic brain injury (mTBI; concussion) highlights the need for an accurate understanding of its epidemiological landscape. Current estimates of mTBI presentations to the emerg... read more 

Rapid Generation of Subject-Specific Human Models With Detailed Tissue Structures for Timely Individualized SAR Assessment.

Magnetic resonance in medicine
PURPOSE: To enable the rapid generation of subject-specific whole-body anatomical models for patient-specific prediction of torso-local specific absorption rate (SAR) in MRI. METHODS: A 6-s 3D gradient-echo MRI sequence was used to acquire data withi... read more 

Assessing biomarkers for patients with breast cancer who are suited for adjuvant therapy.

Expert review of molecular diagnostics
INTRODUCTION: Biomarker-guided stratification is essential for optimizing adjuvant systemic therapy in early-stage breast cancer, requiring a balance between therapeutic benefit and avoidance of overtreatment. AREAS COVERED: This review summarizes es... read more 

Alignment to a Mandarin Target Correlates With Talker Discrimination Ability in Tibetan-Mandarin Bilinguals.

Language and speech
Extracting talker identity from speech signals is a core perceptual function, yet the mechanisms underlying second Language (L2) identity processing remain unclear. Grounded in the DIVA model and Source-Filter Theory, this study investigated the coup... read more 

Agentic Artificial Intelligence for the Automated Generation of Accurate Summary Podcasts of Radiology Research Papers.

Korean journal of radiology
OBJECTIVE: To evaluate whether a custom agentic artificial intelligence (AI) pipeline can overcome the limitations of general-purpose large language model tools, when compared with a generic commercial tool (Google NotebookLM [NBLM]), for generating ... read more 

Integrating multidimensional nociceptive-related cortical features for unsupervised assessment of anesthesia states in rats.

iScience
Accurate anesthesia monitoring remains challenging because current approaches primarily assess consciousness while overlooking nociceptive processing. Although electroencephalography (EEG)-based metrics such as permutation entropy (PE) and permutatio... read more 

ROI-guided virtual narrow band imaging for laryngeal cancer screening.

iScience
White light laryngoscopy is widely available but can miss subtle vascular changes associated with early laryngeal neoplasia. We developed a region-of-interest (ROI)-guided cycle-consistent generative adversarial network (CycleGAN) that translates whi... read more 

Deep learning and radiomics models in patients with advanced non-small cell lung cancer treated with immunotherapy combined with stereotactic radiotherapy.

Scientific reports
Quantitative imaging is an emerging field that may allow prediction of oncological outcomes. We investigate whether radiomics and deep learning can predict outcomes in metastatic non-small cell lung cancer utilizing randomized trials of PD-1 inhibito... read more