AI Medical Compendium

Evaluating the performance of large language models versus prosthodontic residents on the 2024 and 2025 National Prosthodontic Resident Examination.

The Journal of prosthetic dentistry Apr 15, 2026

STATEMENT OF PROBLEM: Recent advancements in large language models (LLMs) offer expanded reasoning, multimodal processing, and improved factual grounding. However, their performance relative to prosthodontic residents remains unknown, and comparisons... read more

Whither symbols in the era of advanced neural networks?

Trends in cognitive sciences Apr 15, 2026

Some of the strongest evidence that human minds should be thought of in terms of symbolic systems has been the way they combine ideas, produce novelty, and learn quickly. We argue that modern neural networks-and the artificial intelligence systems bu... read more

Ethical Considerations for Artificial Intelligence Tools in Small Animal Veterinary Medicine.

The Veterinary clinics of North America. Small animal practice Apr 15, 2026

As veterinary artificial intelligence (AI) tools become more available, it is vital to ensure that they genuinely promote patient well-being and avoid harm. This article examines the ethics of AI in small animal veterinary medicine, considering both ... read more

MRI-driven multimodal deep learning approach for predicting pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: A multicenter study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 15, 2026

OBJECTIVES: Achieving a pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC) enables organ preservation and may obviate the need for radical surgery. This study aim... read more

Region-guided decoupled fusion network for ultrasound-based classification of thyroid nodules with and without Hashimoto's thyroiditis.

European journal of radiology Apr 15, 2026

RATIONALE AND OBJECTIVES: Differentiating benign from malignant thyroid nodules is particularly challenging in patients with Hashimoto's thyroiditis (HT), where inflammatory changes can mimic cancer. We developed a region-guided decoupled fusion netw... read more

A review of deep learning-based Unsupervised Anomaly Detection in brain MRI.

Medical image analysis Apr 15, 2026

The manual assessment of brain Magnetic Resonance Imaging (MRI) scans can be labor-intensive and time-consuming for radiologists. Deep Learning methods have demonstrated the potential to aid this process. However, their effectiveness relies on the av... read more

Research advances in machine learning-aided accurate prediction of the impact of exogenous substances on anaerobic digestion.

Bioresource technology Apr 15, 2026

Exogenous substances (including additives and pollutants), as key factors influencing anaerobic digestion (AD) systems, exert dual effects on microbial activity, community structure, and metabolic function. This review systematically evaluates the ad... read more

Towards interpretable AI in personalized medicine through a radiological-biological radiomics dictionary linking semantic Lung-RADS and imaging radiomics features.

Journal of biomedical informatics Apr 15, 2026

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide, with survival largely dependent on early detection. Standard-dose computed tomography (CT) screening, guided by the Lung Imaging Reporting and Data System (Lung-... read more

Morphology-informed deep learning for risk assessment of filamentous bulking in a full-scale industrial wastewater treatment plant.

Environmental research Apr 15, 2026

Filamentous bulking (FB) is a recurring cause of solids-separation failure in activated sludge systems. Standard diagnostics such as sludge volume index (SVI) and routine microscopy are largely reactive, confirming deterioration only after settling p... read more

The precision revolution: Machine learning and the future of personalized therapy in hematologic malignancies.

European journal of pharmacology Apr 15, 2026

Artificial Intelligence Medical Compendium