AI Medical Compendium

Dataset documentation for responsible AI: analysis of suitability and usage for health datasets.

NPJ digital medicine May 9, 2026

Artificial Intelligence (AI) is rapidly transforming healthcare, but also raising concerns about algorithmic biases that mostly stem from the training data. It is widely supported that transparent dataset documentation is key to enabling responsible ... read more

Parkinson's disease severity is encoded by non-linear oscillatory interactions across cortical-subcortical networks.

Scientific reports May 9, 2026

Parkinson's Disease (PD) is characterized by motor symptoms linked to dysregulated neural activity within basal ganglia-thalamocortical (BGTC) circuits. While clinical assessments such as the Unified Parkinson's Disease Rating Scale (UPDRS) effective... read more

Clinician engagement shapes the impact of AI-based ECG screening for chronic liver disease in primary care.

NPJ digital medicine May 9, 2026

Artificial intelligence (AI)-based screening tools show promise for early identification of chronic liver disease (CLD), yet their effectiveness in real-world settings may depend on clinician response to AI-generated recommendations. We performed a p... read more

A fully automated framework for acoustic identification and localization of terrestrial wildlife at scale.

Communications biology May 9, 2026

Autonomous acoustic recorders are increasingly important tools for monitoring sound-producing taxa. Coupled with advances in machine learning, they enable greater sampling effort and larger spatial and temporal scales than in-person surveys. With syn... read more

Letter to the Editor: Comment on "Evaluating the evidence-based potential of six large language models in paediatric dentistry: a comparative study on generative artificial intelligence".

European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry May 9, 2026

Predicting atrial fibrillation recurrence after radiofrequency ablation using the AIFV system: a prospective observational study.

BMC cardiovascular disorders May 9, 2026

BACKGROUND: Pulmonary vein isolation (PVI) has become the cornerstone of atrial fibrillation (AF) treatment. Nevertheless, the efficacy of radiofrequency ablation remains limited by a substantial rate of recurrence. The selection of anesthesia, the s... read more

When to stop reviewing: validation of stop criteria in ASReview.

BMC medical research methodology May 9, 2026

BACKGROUND: Systematic reviews are essential for evidence-based research, but they often require a great deal of time and effort. Although title and abstract (T&A) screening is just one part of the review process, it can be very time-consuming when s... read more

Application of multimodal ultrasound radiomics in the diagnosis of superficial lymph node tuberculosis.

BMC medical imaging May 9, 2026

OBJECTIVE: To develop preoperative diagnostic models for superficial lymph node tuberculosis (LNTB) using radiomic features extracted from multimodal ultrasound imaging, including gray-scale ultrasound (US), ultrasound elastography (UE), and contrast... read more

A human-AI collaborative workflow for improved gross tumor volume delineation in esophageal cancer radiotherapy.

BMC medical imaging May 9, 2026

BACKGROUND: Esophageal cancer tumors exhibit complex and variable distribution. Due to differences in clinical experience, junior oncologists often show less accuracy in gross tumor volume (GTV) delineation compared to their senior counterparts. Deep... read more

Occupational and socioeconomic predictors of myocardial infarction and coronary heart disease: a machine learning analysis.

BMC public health May 9, 2026

BACKGROUND: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide. Although traditional cardiovascular risk models primarily rely on biomedical factors, socioeconomic and occupational characteristics are increasing... read more

Artificial Intelligence Medical Compendium