AI Medical Compendium

Autodidactic dense anatomical models.

Medical image analysis May 5, 2026

Humans effortlessly interpret images by parsing them into part-whole hierarchies. Yet, deep learning models, despite excelling at capturing multi-level features, often fail to explicitly encode these part-whole hierarchies-an essential aspect of medi... read more

Overcoming the source identification barrier: A critical tool for realistic risk assessment of CeO₂ nanoparticles in agroecosystems.

Journal of hazardous materials May 5, 2026

The environmental risk assessment of CeO₂ engineered nanoparticles (ENPs) is limited by the inability to distinguish their specific exposure from ubiquitous natural counterparts (NNPs) in agroecosystems. Here, we developed an analytical framework int... read more

AI literacy among healthcare professionals and students in the Americas.

Lancet regional health. Americas May 5, 2026

Artificial Intelligence (AI) applications in health care continue to grow exponentially, and AI-tools such as machine learning (ML), natural language processing (NLP), and generative pre-trained transformers (GPT) continue to transform medical educat... read more

Underestimation of industrial contributions to VOC fluctuation in the Hangzhou Bay: Insights from simultaneous measurements and ML-SHAP analysis.

Environmental pollution (Barking, Essex : 1987) May 5, 2026

As a major petrochemical hub, the Hangzhou Bay suffers from severe volatile organic compound (VOC) pollution. Here, we conducted parallel high-frequency VOC measurements at a coastal mainland site (Haiyan) and an offshore island site (Daishan) during... read more

Review of risk perception research by cognitive neuroscience technologies in high-risk industry.

Biological psychology May 5, 2026

Risk perception failure is one of the primary causes of unsafe behavior in high-risk industries. While traditional studies hold value, they often fail to capture the real-time, dynamic cognitive processes involved. The emergence of cognitive neurosci... read more

Executive summary of the 2026 consensus document. Planning the future of Internal Medicine: A position statement of the International Forum of Internal Medicine (FIMI).

Revista clinica espanola May 5, 2026

The International Forum of Internal Medicine (FIMI) presents a position paper that analyzes the current state and projects the future of Internal Medicine in a global context marked by population aging, multimorbidity, fragmentation of health systems... read more

Trajectories of pain and key predictors in two years of chronic low back pain: A prospective longitudinal cohort study.

The journal of pain May 5, 2026

Chronic low back pain (CLBP) is prevalent. Understanding its progression and identifying related predictors is essential to guide its management. This study aimed to characterize CLBP trajectories over two years and identify baseline predictors of th... read more

Evidential reasoning-enabled deep learning for reliable treatment outcome prediction in cancer therapy.

Artificial intelligence in medicine May 5, 2026

Treatment outcome prediction plays an important role in realizing personalized cancer therapy. In triple-negative breast cancer (TNBC), neoadjuvant chemotherapy (NAC) is widely used to downstage tumors and improve surgical outcomes. In head and neck ... read more

Exploring the role of artificial intelligence in anterior cruciate ligament injuries in high-performing & elite athletes.

The Knee May 5, 2026

Anterior cruciate ligament (ACL) injuries dramatically impact athletes and sporting organisations. Artificial Intelligence (AI) driven systems, such as those leveraging machine learning (ML) algorithms into wearable devices are showing promise in ort... read more

A two-step temporal data augmentation and supervised learning framework for predicting autism diagnosis at 36 months in patients with tuberous sclerosis complex.

Computers in biology and medicine May 5, 2026

BACKGROUND: Autism spectrum disorder (ASD) affects approximately 25-50% of children with tuberous sclerosis complex (TSC). Early identification of ASD in this high-risk population is crucial for timely intervention but remains challenging due to the ... read more

Artificial Intelligence Medical Compendium