AI Medical Compendium

Towards continual low-light image enhancement through causal inference.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2026

Low-light image enhancement focuses on improving the visual perceptual quality and restoring structure details for images captured from poor lightness conditions. The existing approaches often perform well under the identical lightness distribution w... read more

An effluent risk informed closed-loop framework for early warning of influent anomalies using COD soft sensing.

Water research Apr 5, 2026

Sudden shock loads in wastewater influent can severely disrupt biological treatment processes and cause effluent quality exceedances in wastewater treatment plants, particularly in domestic-industrial integrated facilities. Timely and reliable early ... read more

Autonomous inverse modeling of complex groundwater systems via a physics-integrated large language model multi-agent framework.

Water research Apr 5, 2026

Inverse modeling of groundwater flow and transport in subsurface systems is fundamentally restricted by the conceptual-numerical gap, where translating hydrogeological hypotheses into executable simulation codes remains a labor-intensive process. Whi... read more

Beyond exam accuracy: Tracking a persistent-failure set reveals visual dental reasoning gaps in multimodal LLMs.

Journal of dentistry Apr 5, 2026

OBJECTIVES: To benchmark late-2025 general-purpose multimodal large language models (LLMs) on the Japanese National Dental Examination (JNDE) and to reassess a previously identified persistent-failure set. METHODS: GPT-5.2T, Claude 4.5, and Gemini 3 ... read more

Automated detection of tooth loss using tooth numbering segmentation in 3D intraoral scans from a population-based sample with artificial intelligence.

Journal of dentistry Apr 5, 2026

OBJECTIVES: This study aimed to validate an automated method for detecting tooth loss in intraoral scans (IOS) compared to clinical evaluations in a population-based sample. METHODS: 897 IOSs from 453 participants of the 1982 Pelotas Birth Cohort wer... read more

Machine learning-driven prognostication in liver transplantation: A tacrolimus intrapatient variability enhanced predictive model.

Hepatobiliary & pancreatic diseases international : HBPD INT Apr 5, 2026

BACKGROUND: Accurately predicting long-term survival after liver transplantation (LT) remains a major clinical challenge. Tacrolimus intrapatient variability (Tac-IPV) has emerged as a potential prognostic marker, yet its integration into clinical de... read more

Alzheimer's disease staging using enhanced inception-ResNet-V2 and improved XceptionNet models for 3D MRI classification and segmentation.

Journal of neuroscience methods Apr 5, 2026

BACKGROUND: Neurologists have a significant challenge due to the progressive nature of Alzheimer's disease (AD) and its severe effects on cognitive function. Recent advances in neuroimage analysis have opened the door to novel machine-learning techni... read more

Digital health and machine learning in population health and wellness management: A scoping and bibliometric review of effectiveness, equity, and implementation challenges.

Asian journal of psychiatry Apr 5, 2026

Machine learning (ML) in digital health applications is becoming more popular for the general management of population wellness and the promotion of large-scale prevention, risk stratification, and the use of data to formulate data-driven decision-ma... read more

Exploring AI and ML in managing overlap between cardiovascular disease and asthma or COPD: a scoping review.

Respiratory medicine Apr 5, 2026

Cardiovascular disease (CVD) is a major comorbidity in asthma and chronic obstructive pulmonary disease (COPD), yet the contribution of artificial intelligence (AI) and machine learning (ML) to CVD risk assessment and management in these conditions r... read more

The power of context: Enhancing repetitive transcranial magnetic stimulation effects through skillful behavior.

Behavioural brain research Apr 5, 2026

INTRODUCTION: Non-invasive neuromodulation techniques like repetitive transcranial magnetic stimulation (rTMS) have shown promise in treating psychopathology. However, emerging evidence suggests that the brain's functional state during stimulation ma... read more

Artificial Intelligence Medical Compendium