Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
This January 2024 IEEE Access review surveys generative AI in healthcare, describing models including ChatGPT, DALL-E, Bard, and seven healthcare-customized LLMs such as Med-PaLM, BioGPT, and DeepHealth. It catalogs applications from medical imaging and drug discovery to personalized treatment, simulation and training, clinical trial optimization, and medical chatbots, and details four real-world scenarios employing GAI: visual snow syndrome diagnosis, molecular drug optimization, medical education, and dentistry.
A July 2026 review in Die Urologie describes artificial intelligence moving from research into everyday clinical practice and hospital care, with generative AI and large language models now used alongside established image-analysis tools for documentation, knowledge management, patient communication, and workflow optimization, plus AI-assisted radiological and pathological interpretation and risk stratification.
A peer-reviewed study published October 4, 2025 examined AI for municipal waste management in Industry 4.0. Based on a 2024 online survey of 78 respondents mainly from Europe with experience or interest in AI, logistics, and ecology, authors reported that 78% saw AI reducing waste management costs, 59% saw greatest benefits in sorting and recycling, and 51% saw effectiveness in optimizing collection routes.
This peer-reviewed review from December 2024 examines federated learning as a decentralized approach for smart healthcare, where institutions collaborate on machine learning without sharing raw patient data, integrated with IoT devices, wearables, and remote monitoring for real-time predictive analytics.
By June 2026, researchers documented a cybercrime pattern in Cirebon where perpetrators obtained children's photographs from social media or other digital platforms and manipulated them using Artificial Intelligence-based applications to produce indecent content.
Researchers reviewed the state of AI in healthcare, noting rapid acceleration of research and demonstrations across medical domains but few cases where techniques have moved into routine clinical use. The article frames translation as the central issue and outlines categories of obstacles that prevent research models from reaching practice.
A study tested YOLO-based AI models for breast lesion detection on digital breast tomosynthesis using a 94-patient Western database from the Cancer Imaging Archive and a 157-patient Eastern database from a single medical center, with lesions grouped into six types.
In a retrospective study of 340 pancreatic ductal adenocarcinoma patients, investigators developed machine learning models combining CT radiomics and clinical predictors to predict synchronous liver metastasis preoperatively. In an independent validation cohort of 102 patients, the best linear model (LDA) reached AUC 0.828 and the nonlinear model (MLP) reached AUC 0.822, both showing good calibration with Hosmer-Lemeshow P values of 0.551 and 0.682.
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