AI Medical Compendium

Machine Learning-Based Predictive Model for Fever and Adverse Clinical Events in Hospitalized Pediatric Burn Patients.

Journal of burn care & research : official publication of the American Burn Association May 8, 2026

Systemic inflammation after pediatric burn injury frequently causes fever, complicating early recognition of infectious complications. Improved risk-stratification may help identify patients at risk for adverse clinical events during hospitalization.... read more

DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics.

PloS one May 8, 2026

Combination therapies have become a cornerstone of modern medicine, offering improved treatment outcomes and reduced side effects compared to monotherapies. However, the efficacy and safety of drug combinations depend heavily on the specific doses of... read more

Limited 'heft' of weight-based outcomes in predicting influenza A virus disease severity in ferrets.

PLoS computational biology May 8, 2026

Studies evaluating viral pathogenicity in small mammalian models often quantify disease severity using the magnitudes of temperature rise and weight loss post-challenge. However, no rigorous assessment on the transformation of serially collected data... read more

Electronics-free soft robotic minitablet for on-demand gastric molecular sensing and diagnostics in vivo.

Science advances May 8, 2026

Real-time biomarker sensing and molecular sampling in the stomach can transform how gastrointestinal disorders are diagnosed and managed-yet integrating both capabilities into a single ingestible platform remains a formidable challenge. Existing devi... read more

Light-switchable swarming of biohybrid microrobots.

Science advances May 8, 2026

Controlling collective behavior in the microscale is essential for advancing autonomous robotic systems in complex environments. While biohybrid microrobotic swarms offer considerable promise for targeted therapeutic and remediation applications, the... read more

Smartphone-based accurate pothole depth estimation using monocular RGB and LiDAR-guided deep learning.

PloS one May 8, 2026

The maintenance of the road infrastructure is vital to ensure public safety and the efficiency of transportation, but the unpredictable and widespread occurrence of potholes often hinders continuous monitoring. Traditional detection approaches typica... read more

Comparing the Performance of Different Artificial Intelligence Tools in Evaluating Dental Morphology Model Assignments.

European journal of dental education : official journal of the Association for Dental Education in Europe May 8, 2026

OBJECTIVES: This study aimed to compare scores obtained for evaluating maxillary left canine tooth models prepared from soap in a dental morphology course using different artificial intelligence (AI) models and dental educators with the same rubric, ... read more

The Actionable Innovation Day Approach: Participatory Model for Advancing Critical Care Innovation.

Journal of medical Internet research May 8, 2026

Health care innovation is essential for improving patient outcomes, enhancing system efficiency, and preparing for future challenges; however, meaningful progress is often hindered by entrenched barriers such as resistance to change, fragmented inter... read more

Communication-Based Teaching on Childhood Obesity and the Planetary Health Diet in Medical Education: Proof-of-Concept Study Comparing 4 Information Sources.

JMIR formative research May 8, 2026

BACKGROUND: Childhood obesity constitutes a complex medical and psychosocial challenge that requires both nutritional knowledge and sensitive, relationship-oriented doctor-patient communication. The Planetary Health Diet links individual health promo... read more

Deep learning-enabled monitoring of postoperative fracture healing on serial radiographs: a 150-patient study using an enhanced YOLOv11 framework.

Biomedizinische Technik. Biomedical engineering May 8, 2026

OBJECTIVES: To develop and validate a deep learning framework for classifying postoperative time-points as a proxy task for monitoring longitudinal fracture healing progression from serial radiographs. METHODS: This retrospective study included 150 p... read more

Artificial Intelligence Medical Compendium