AI Medical Compendium

Fully closed-loop systems: can people with type 1 diabetes just do it? Insights from open-source systems.

Diabetologia Jan 19, 2026

Automated insulin delivery (AID) systems have significantly advanced diabetes management, progressively reducing user interactions required for optimal glucose management. This review evaluates the current landscape and future potential of AID system... read more

Modeling regional mean sea level based on climate measurements using a stacked ensemble approach.

Environmental monitoring and assessment Jan 19, 2026

Assessing changes in mean sea level (MSL) has become increasingly critical due to the significance of climate changes. Soft computing techniques are now widely used to reduce the time and cost associated with traditional MSL estimation methods. Histo... read more

Neural Networks, Computer Environmental Monitoring Egypt Climate Change Sea Level Rise

The DNA dialect: a comprehensive guide to pretrained genomic language models.

Molecular systems biology Jan 19, 2026

Following their success in natural language processing and protein biology, pretrained large language models have started appearing in genomics in large numbers. These genomic language models (gLMs), trained on diverse DNA and RNA sequences, promise ... read more

Combining mass spectrometry and machine learning models for predicting Klebsiella pneumoniae antimicrobial resistance: a multicenter experience from clinical isolates in Italy.

BMC microbiology Jan 19, 2026

BACKGROUND: Multidrug-resistant Klebsiella pneumoniae represents a significant challenge in healthcare settings, prompting numerous studies on the rapid detection of antimicrobial resistance. Mass spectrometry has been recently integrated into routin... read more

A machine learning-based predictive model for mandibular third molar extraction difficulty: incorporating multimodal features and SHAP analysis.

BMC oral health Jan 19, 2026

OBJECTIVES: This study aimed to establish a rapid and accurate predictive model for mandibular third molar (MM3) extraction difficulty based on machine learning and multimodal parameters. METHODS: A dataset was constructed by integrating clinical cha... read more

Estimation of IPSS and OABSS scores using ChatGPT-4o: a comparative validation study in Korea.

BMC urology Jan 19, 2026

PURPOSE: To evaluate the performance of ChatGPT-4o in estimating International Prostate Symptom Score (IPSS) and Overactive Bladder Symptom Score (OABSS) based on patients' natural language descriptions and full outpatient records, compared to actual... read more

Blended peer-led research curriculum with AI integration improves postgraduate students' academic performance and satisfaction: a quasi-experimental mixed-methods study.

BMC medical education Jan 19, 2026

EEG microstate features under visual feedback gain conditions exhibit high sensitivity in identifying early Parkinson's disease patients.

Journal of neuroengineering and rehabilitation Jan 19, 2026

BACKGROUND: Early Parkinson's disease (PD) presents with subtle symptoms and lacks specific diagnostic methods. Clinical diagnosis primarily relies on subjective assessment, with confirmation often occurring at mid-to-late stages. Therefore, identify... read more

Radiogenomics predicts immune microenvironment heterogeneity and response to combination immunotherapy in hepatocellular carcinoma.

Journal of translational medicine Jan 19, 2026

Artificial intelligence for early diagnosis in emergency department.

Journal of anesthesia, analgesia and critical care Jan 19, 2026

In recent years, artificial intelligence (AI) has become an increasingly prominent player in emergency medicine, offering innovative tools to enhance the early diagnosis of acute conditions. This systematic review explores how AI, particularly throug... read more

Artificial Intelligence Medical Compendium