AI Medical Compendium

Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval

arXiv Jan 30, 2026

Large-scale biodiversity monitoring platforms increasingly rely on multimodal wildlife observations. While recent foundation models enable rich semantic representations across vision, audio, and language, retrieving relevant observations from massive... read more

Information Retrieval cs.CV cs.LG cs.MM cs.SD

HeatMat: Simulation of City Material Impact on Urban Heat Island Effect

arXiv Jan 30, 2026

The Urban Heat Island (UHI) effect, defined as a significant increase in temperature in urban environments compared to surrounding areas, is difficult to study in real cities using sensor data (satellites or in-situ stations) due to their coarse spat... read more

Graphics cs.CV

A comparative review of red, green, and brown seaweed: Bioactive components, health effects, and machine learning approaches.

Food research international (Ottawa, Ont.) Jan 30, 2026

Edible seaweed subcategorized into Chlorophyta (green algae), Phaeophyceae (brown algae) and Rhodophyta (red algae) are considered sustainable functional foods with marketing challenges and regulatory issues. Seaweed-associated safety concerns contin... read more

You Didn't Think It Would Be That Easy, Did You? Commentary on "Machine Learning Predictions for Assessing Hard-to-Place Deceased Donor Kidneys".

Kidney medicine Jan 30, 2026

Machine Learning Predictions for Assessing Hard-to-Place Deceased Donor Kidneys.

Kidney medicine Jan 30, 2026

RATIONALE & OBJECTIVE: Nearly 20% of deceased donor kidneys in the United States are placed "out-of-sequence" (ie, outside of standard allocation rules). The rationale for out-of-sequence placements is to expedite placement of kidneys at risk of nonu... read more

Investigation of Bias Using ChatGPT-4 in Pain Management and Patient Profiling.

The Journal of emergency medicine Jan 30, 2026

BACKGROUND: Large language models, such as ChatGPT (cGPT), are being integrated increasingly into clinical workflows and medical education. However, concerns persist regarding their susceptibility to bias, especially in high-stakes areas like pain ma... read more

From prostate-specific antigen to precision: The future of prostate cancer diagnosis with artificial intelligence, biomarkers, and imaging.

Current urology Jan 29, 2026

BACKGROUND: Prostate cancer (PCa) diagnosis has historically relied on prostate-specific antigen (PSA) testing. Although PSA screening significantly reduces mortality rates, it is limited by its low specificity and the risk of overdiagnosis and overt... read more

From ChatGPT to UroGPT: A guideline-trained artificial intelligence model for male infertility.

Current urology Jan 29, 2026

BACKGROUND: ChatGPT is not yet sufficiently reliable for answering clinical questions relevant to direct patient care. We hypothesized that a GPT model trained exclusively on expert guidelines would provide more accurate, guideline-concordant respons... read more

Asymmetric fiber orientation distribution estimation via unsupervised deep learning.

Medical image analysis Jan 29, 2026

Diffusion magnetic resonance imaging (dMRI) tractography is a key technique for reconstructing brain structural connectivity. A widely recognized limitation in tractography is the enforced symmetry of fiber orientation distribution functions (fODFs) ... read more

Agri-vision Bangladesh: A multi-crop augmented image dataset for automated disease diagnosis in Bottle Gourd, Zucchini, Papaya, and Tomato.

Data in brief Jan 29, 2026

This article introduces Agri-Vision Bangladesh, a comprehensive, augmented image dataset designed to advance automated disease diagnosis in four economically vital agricultural crops: Bottle Gourd (Lagenaria siceraria), Zucchini (Cucurbita pepo), Pap... read more

Artificial Intelligence Medical Compendium