AI Medical Compendium

Forecasting tomato production in major Asian producers: a comparative study of ARIMA, exponential smoothing, score-driven models, and XGBoost.

Scientific reports Apr 6, 2026

Tomato production is a crucial component of the agricultural sector in Asian countries. Accurate forecasting of tomato production is essential for effective agricultural planning, resource allocation, and ensuring food security in the region. This st... read more

Advances in cataract surgery: is a new era on the horizon?

Current opinion in ophthalmology Apr 6, 2026

PURPOSE OF REVIEW: To summarize recent technological, procedural and material advances that are reshaping cataract surgery and to appraise their implications for visual outcomes, safety and global accessibility. RECENT FINDINGS: Phacoemulsification r... read more

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

Computational biology and chemistry Apr 6, 2026

BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lung cancer. Its considerable tumor heterogeneity and drug resistance present major clinical obstacles, resulting in unfavorable patient outcomes. Protei... read more

Comparing the Generalizability of Multiregional versus Locally Trained Deep Learning Models for Trachoma Detection.

Ophthalmology science Apr 6, 2026

OBJECTIVE: To test the advantage of geographically diverse, multiregional training of artificial intelligence models over single-region training for detection of trachomatous inflammation-follicular (TF) across test sets from different regions. DESIG... 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

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

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

High-resolution LA-ICP-MS imaging combined with attention-enhanced residual network reveal cadmium-induced metal distribution heterogeneity and toxicity in Mytilus galloprovincialis.

Journal of hazardous materials Apr 5, 2026

Marine bivalves often face heavy metal stress, yet we still lack of high-resolution way to observe the metal pollution status in soft tissue. This study provides the first high-resolution spatial mapping of cadmium (Cd) and associated heavy metals in... 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

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

Artificial Intelligence Medical Compendium