Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Factors Influencing Delivery of Cancer Survivorship Care Plans: A National Patterns of Care Study.

Nearly half of all Americans will develop cancer at least once in their lifetime. Through improved s...

A six‑gene support vector machine classifier contributes to the diagnosis of pediatric septic shock.

Septic shock is induced by an uncontrolled inflammatory immune response to pathogens and the surviva...

Stability of Pentobarbital Hydrogel for Rectal Administration in Pediatric Procedural Sedation.

Pentobarbital is a sedative agent to limit children motion during computed tomography or magnetic r...

Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review.

There is growing interest in the potential of artificial intelligence to support decision-making in ...

Ovarian torsion: developing a machine-learned algorithm for diagnosis.

BACKGROUND: Ovarian torsion is a common concern in girls presenting to emergency care with pelvic or...

Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap.

Despite the application of advanced statistical and pharmacometric approaches to pediatric trial dat...

Improving breast cancer care coordination and symptom management by using AI driven predictive toolkits.

Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and spec...

The Antifungal Peptide MCh-AMP1 Derived From Inhibits Growth via Inducing ROS Generation and Altering Fungal Cell Membrane Permeability.

The rise of antifungal drug resistance in species responsible for life threatening candidiasis is c...

Multi-media biomarkers: Integrating information to improve lead exposure assessment.

Exposure assessment traditionally relies on biomarkers that measure chemical concentrations in indiv...

A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants.

In agricultural robotics, a unique challenge exists in the automated planting of bulbous plants: the...

Digging Deeper to Save the Old Anti-tuberculosis Target: D-Alanine-D-Alanine Ligase With a Novel Inhibitor, IMB-0283.

The emergence of drug-resistant (Mtb) has hampered treatments for tuberculosis, which consequently ...

Promotes Stable Polymicrobial Biofilms With the Major Otopathogens.

Otitis media (OM) is a prevalent pediatric infection characterized by painful inflammation of the mi...

Assessing the Involvement of Users During Development of Lower Limb Wearable Robotic Exoskeletons: A Survey Study.

OBJECTIVE: To explore user-centered design methods currently implemented during development of lower...

Prediction of Myopia in Adolescents through Machine Learning Methods.

According to literature, myopia has become the second most common eye disease in China, and the inci...

Current Status of Pediatric Robot-Assisted Surgery in Italy: Epidemiologic National Survey and Future Directions.

Pediatric robot-assisted surgery (RAS) is gaining increasing acceptance. We aimed to assess the dif...

How much are we exposed to alcohol in electronic media? Development of the Alcoholic Beverage Identification Deep Learning Algorithm (ABIDLA).

BACKGROUND: Evidence demonstrates that seeing alcoholic beverages in electronic media increases alco...

Enablers and barriers to the implementation of socially assistive humanoid robots in health and social care: a systematic review.

OBJECTIVES: Socially assistive humanoid robots are considered a promising technology to tackle the c...

A practical model for the identification of congenital cataracts using machine learning.

BACKGROUND: Approximately 1 in 33 newborns is affected by congenital anomalies worldwide. We aimed t...

Artificial intelligence, machine learning and the pediatric airway.

Artificial intelligence and machine learning are rapidly expanding fields with increasing relevance ...

A Multidimensional Neural Maturation Index Reveals Reproducible Developmental Patterns in Children and Adolescents.

Adolescence is a time of extensive neural restructuring, leaving one susceptible to atypical develop...

Microplastics but not natural particles induce multigenerational effects in Daphnia magna.

Several studies have investigated the effects of nano- and microplastics on daphnids as key freshwat...

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