Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
In the past decade, the global industry and research attentions on intelligent skin-like electronics have boosted their applications in diverse fields including human healthcare, Internet of Things, human-machine interfaces, artificial intelligence and soft robotics. Among them, flexible humidity sensors play a vital role in noncontact measurements relying on the unique property of rapid response to humidity change.
Researchers developed and internally validated an interpretable machine learning risk model for adults with unrepaired pulmonary arterial hypertension associated with congenital heart disease using data from 601 patients in a Chinese national prospective registry followed for a median 76 months. A random survival forest achieved a bootstrapping C-index of 0.773, and SHAP analysis highlighted predictors such as hemoglobin, BMI, systolic blood pressure, and diastolic pulmonary artery pressure to build new risk strata.
A September 2026 review in Journal of Translational Medicine surveyed AI research in pain medicine across three areas: objective pain assessment by fusing facial expressions, voice and physiological signals, automated segmentation of spine, nerves and needle tips from medical images, and AI support for classification, treatment decisions and prognosis in conditions from osteoarthritis to cancer pain.
A systematic review published September 12, 2026 reviewed AI and machine learning techniques for breast cancer screening, diagnosis, classification and tumor marker scoring. It examined advanced deep learning models including ANNs, SVMs, CNNs and faster R-CNN applied to cytology, histopathology and combined imaging-pathology data.
Background Artificial intelligence (AI) is transforming global health care through innovations in deep learning, generative models and agentic AI systems. Traditional reductionist approaches to complex pathophysiological pathways fail to capture the true complexity of disease, motivating the adoption of network medicine (NM), which models biological systems as dynamic, interconnected networks.
This peer-reviewed review examines AI, including machine learning and deep learning, for cardiovascular prevention in Italy and globally, where cardiovascular diseases remain the leading cause of mortality and morbidity. It surveys evidence that AI can deliver more precise, dynamic and personalized risk stratification than traditional scores and support early detection of subclinical disease via AI-enabled electrocardiography and opportunistic imaging.
On September 1, 2026, a peer-reviewed roadmap in Xenotransplantation outlined how artificial intelligence could be integrated into early clinical xenotransplantation to address organ shortage. It prioritizes digital pathology, machine perfusion monitoring, multimodal graft injury detection, and xenozoonotic infection surveillance, emphasizing clinician-supervised, auditable systems combined with gene-edited donors.
This comprehensive review traces ultrasound from operator-dependent manual imaging to robotic ultrasound systems developed over the past two decades, including teleoperated telesonography over 5G and increasingly autonomous platforms using force control and path planning.
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