AI Medical Compendium

A large comprehensive comparison of large language models on ophthalmology board exams.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie May 14, 2026

PURPOSE: A comprehensive performance evaluation of seven state-of-the-art large language models (LLMs) compared to human resident benchmarks on ophthalmology board exam questions. Furthermore, this study aims to define current model strengths and lim... read more

Machine learning-based integration identifies a 10-gene predictive signature and its classification patterns in schizophrenia.

European archives of psychiatry and clinical neuroscience May 14, 2026

BACKGROUND: Schizophrenia (SCZ) is a highly heritability psychological disorder, however the exact etiology remains unclear, and lack of the reliable and effective biomarkers for diagnosis and treatments in the management of SCZ, thus exploring the n... read more

Remote smartphone-based spoken language screening predicts clinical markers in Huntington's disease.

Journal of neural transmission (Vienna, Austria : 1996) May 14, 2026

Assessment and monitoring of Huntington's disease (HD) symptoms remain limited to infrequent, clinic-based evaluations. We evaluated whether fully automated linguistic analysis of speech tasks recorded via smartphone can remotely capture core clinica... read more

The role of MRCP in characterizing ductal communication and high-risk features in pancreatic cystic lesions.

Abdominal radiology (New York) May 14, 2026

Pancreatic cystic lesions are increasingly detected due to the widespread use of high-resolution cross-sectional imaging, particularly MRI and CT. The reported prevalence of incidental pancreatic cysts is 2% to 13% on CT and 20% to 45% on MRI, reflec... read more

Development of a multitemporal image differencing approach for identifying invasive water hyacinth (Eichhornia crassipes).

Environmental monitoring and assessment May 14, 2026

Invasive aquatic plants such as water hyacinth (Eichhornia crassipes [Mart.] Solms) pose significant threats to freshwater ecosystems through obstruction of waterways, alteration of hydrodynamics, and impacts on biodiversity. Effective monitoring is ... read more

Artificial intelligence in small tissue biopsies: diagnostic applications, histochemical integration, and methodological challenges in surgical pathology.

Histochemistry and cell biology May 14, 2026

Small tissue biopsies, including renal core biopsies, bone marrow trephines, gastrointestinal endoscopic samples, prostate needle cores, liver biopsies, and skin punch or shave specimens, are fundamental to contemporary diagnostic pathology. Their li... read more

Classification of occlusal caries severity using spectrophotometric CIELAB measurements and machine learning algorithms.

Clinical oral investigations May 14, 2026

OBJECTIVES: This study evaluated whether spectrophotometric CIELAB color measurements can support machine-learning (ML) classification of occlusal caries severity based on ICDAS categories. METHODS: Three hundred extracted human teeth were visually c... read more

Use of artificial intelligence in analysis of endoscopic images to detect residual disease or regrowth in rectal patients with complete clinical response to neoadjuvant chemoradiotherapy.

Techniques in coloproctology May 14, 2026

BACKGROUND: Patients with rectal cancer who have a complete clinical response (cCR) to neoadjuvant chemo/radiotherapy (nCRT) may opt for organ preservation and watch and wait (W&W). This consists of an intense surveillance program including serial en... read more

Integrating biomarkers and artificial intelligence for precision diagnostics in cattle health and herd management: a review.

Veterinary research communications May 14, 2026

Early and accurate diagnosis of major production diseases in cattle, many of which may be subclinical, such as mastitis, ketosis, and bovine respiratory disease (BRD), is essential for herd efficiency, animal welfare, and long-term sustainability. Co... read more

Artificial intelligence and advanced monitoring for air and water pollution control in the USA: opportunities, challenges, and policy directions.

Environmental science and pollution research international May 14, 2026

In this review article, we present the current state of artificial intelligence and advanced technologies in air and water pollution monitoring in the USA. Recent studies in this field show promising outcomes, including the ability to generate more g... read more

Artificial Intelligence Medical Compendium