AI Medical Compendium

When and how to disclose AI use in academic peer review.

Medical teacher Jan 10, 2026

Using Artificial Intelligence (AI) to review academic papers is happening and cannot be ignored by journals. There is a need to find a balance between outright banning and uncontrolled usage. Medical Teacher recognises this need, and this commentary ... read more

Design of an AI-assisted autonomous orchard sprayer with dual spraying mechanisms.

Pest management science Jan 10, 2026

BACKGROUND: This study presents the design, development, and field evaluation of Vabot, an artificial intelligence (AI)-powered, fully electric autonomous agricultural ground vehicle intended for accurate pesticide application in orchard settings. Th... read more

Deep-sea image dataset for organism detection.

Data in brief Jan 10, 2026

The conservation of marine resources and the mitigation of marine pollution require strengthened knowledge of marine biodiversity, particularly in the deep sea. Videos and images are valuable for documenting the distribution of deep-sea organisms, bu... read more

A clinical dataset on type-2 diabetes including demographic, anthropometric, and biochemical parameters from Bangladesh.

Data in brief Jan 10, 2026

Type-2 diabetes is a major public health concern in Bangladesh, and this dataset provides 1065 curated patient records with demographic, anthropometric, and clinical variables relevant to its assessment. The data were collected during routine clinica... read more

Mitigating data center bias in cancer classification: Transfer bias unlearning and feature size reduction via conflict-of-interest free multi-objective optimization.

Artificial intelligence in medicine Jan 10, 2026

Bias in the decision-making processes of trained deep models poses a significant threat to their reliability. Such bias can lead to overoptimistic results on observed data while compromising generalization to unseen datasets. Training data may contai... read more

External validation of an explainable electrocardiogram-only deep learning algorithm for the prediction of response after cardiac resynchronization therapy.

Heart rhythm Jan 10, 2026

BACKGROUND: Cardiac resynchronization therapy (CRT) can improve clinical outcomes in patients with dyssynchronous heart failure, but many patients selected according to the current guidelines do not respond. OBJECTIVE: This study aimed to externally ... read more

Reconnecting new tetrahydrobenzothieno-4-pyrimidine amides as potent PIM-1 kinase inhibitors via an integrated ligand, machine learning model and structure based scaffold hopping: In vitro anti-tumor investigations.

Bioorganic chemistry Jan 10, 2026

PIM1 has been known to be one of the prolific molecular target in the discovery of new potential anticancer drugs due to its engagement in activation of cell proliferation and anti-apoptosis. Till date not a single drug is in the market that targets ... read more

Unlocking 2D/3D+T myocardial mechanics from cine MRI: a mechanically regularized space-time finite element correlation framework.

Medical image analysis Jan 10, 2026

Accurate and biomechanically consistent quantification of cardiac motion remains a major challenge in cine MRI analysis. While classical feature-tracking and recent deep learning methods have improved frame-wise strain estimation, they often lack bio... read more

UTMorph: A hybrid CNN-transformer network for weakly-supervised multimodal image registration in biopsy puncture.

Medical image analysis Jan 10, 2026

Accurate registration of preoperative magnetic resonance imaging (MRI) and intraoperative ultrasound (US) images is essential to enhance the precision of biopsy punctures and targeted ablation procedures using robotic systems. To improve the speed an... read more

AI-based assessment of brain volume decrease after treatment with stereotactic radiosurgery versus whole brain radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 10, 2026

BACKGROUND: Radiotherapy is a cornerstone in the treatment of brain metastases, but its mid- and long-term impact on brain parenchyma remains poorly understood. This study aimed to assess the differential volumetric alterations in the brain following... read more

Artificial Intelligence Medical Compendium