Artificial Intelligence Medical Compendium

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

Showing 2,791 to 2,800 of 235,381 articles

Novel Approaches to Language Assessment Part 2: Evaluating Measures of Effort in a Sentence Recall Task for School-Age Children.

Language, speech, and hearing services in schools
PURPOSE: Children with developmental language disorder (DLD) produce more speech disruptions and have a slower speech rate than their peers. This study validated measures of effortful sentence production by examining their association with general la... read more 

Geometric vs. global knowledge in GNNs: a controlled leakage study for early-late TS classification of the isomerization of the 2-norbornyl carbocation.

Physical chemistry chemical physics : PCCP
Transition-state classification remains challenging because distinguishing reactant-like from product-like geometries requires resolving subtle mechanistic changes. Although GNNs can learn molecular representations, it remains unclear whether their p... read more 

Pediatric 7 Tesla MRI: Current Applications and Future Opportunities.

The British journal of radiology
Utilization of ultra-high-field (UHF) MRI in humans has rapidly increased over the past decade, following regulatory approval of the first clinical 7 Tesla (7T) platforms in 2017 for brain and knee imaging. Currently, there are approximately 140 MRI ... read more 

Artificial Intelligence Iterative Reconstruction in Multiphase Abdominopelvic CT: Added Value for Anatomic Evaluation of Uterine Artery.

Journal of computer assisted tomography
OBJECTIVE: To assess the anatomic evaluation performance of the uterine artery (UA) on routine multiphase abdominopelvic CT images, and to investigate whether artificial intelligence iterative reconstruction (AIIR) can improve this performance to a l... read more 

Single-cell imaging reveals a key role of Bck2 in yeast cell size adaptation to nutrient challenges.

The Journal of cell biology
Cell size is tightly controlled to optimize cell function. In Saccharomyces cerevisiae, multiple regulators of cell size in steady-state conditions have been identified, such as the G1/S activators Cln3 and Bck2 and the inhibitor Whi5. Individual del... read more 

Artificial Intelligence-Enabled Detection and Management of Physiological Instability in Heart Failure: Results of the Randomized LINK-HF2 Trial.

JACC. Heart failure
BACKGROUND: Artificial intelligence (AI)-enabled wearable monitoring can detect individualized physiological deviations preceding heart failure (HF) decompensation, but whether these signals can be translated into improved outcomes remains uncertain.... read more 

PROTACs in personalized and precision medicine: transforming targeted therapy with advances in selectivity and patient stratification.

Cancer chemotherapy and pharmacology
Proteolysis-targeting chimeras (PROTACs) have emerged as a transformative therapeutic strategy that extends beyond conventional occupancy-driven pharmacology by enabling the selective degradation of disease-causing proteins through the ubiquitin-prot... read more 

Model Systems infrastructure of the German Center for Mental Health (DZPG): toward an integrated, mechanism-based framework for mental health research.

European archives of psychiatry and clinical neuroscience
Mental health is fragile and disorders are highly prevalent arising from complex interactions between genetic, developmental, psychological, social and environmental factors. The key mechanisms underlying resilience, vulnerability factors, brain repa... read more 

Identification of novel lncRNAs potentially associated with diabetic retinopathy based on machine learning prediction.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
OBJECTIVE: Diabetic retinopathy (DR), a neurovascular complication, stands as a major contributor to global vision impairment, substantially affecting patients' quality of life. Increasing evidence suggests that lncRNAs fundamentally contribute to th... read more 

A Controlled Single-Speaker Evaluation of Ambient Voice Technologies' Speech-to-Text Function Using Narrated Surgical Case-Reports.

Journal of medical systems
Ambient voice technologies (AVT) utilise automatic speech recognition (ASR) and generative artificial intelligence for speech-to-text conversion, and are advocated as efficient, accurate tools for clinical documentation. We investigated (n = 8) AVT s... read more