AI Medical Compendium

Evaluation of artificial intelligence-generated vignettes depicting patient chatbot use in psychiatric contexts.

NPJ digital medicine Apr 7, 2026

Chatbot-related mental health risks have attracted increasing public attention, yet educational case materials for clinicians remain limited. We evaluated ChatGPT-5 Pro's ability to generate psychiatric vignettes involving patient chatbot use. Three ... read more

Scientists invented a fake disease. AI told people it was real.

Nature Apr 7, 2026

Deep learning assessment of nativeness and pairing likelihood for antibody and nanobody design with AbNatiV2.

mAbs Apr 7, 2026

Most immune-system created antibodies balance good binding and stability with low toxicity and self-reactivity. Quantifying the nativeness of a candidate sequence - its likelihood of belonging to natural immune repertoires - has thus emerged as a val... read more

Development and validation of a clinical nomogram for frailty prediction in older COPD patients: a machine learning approach.

BMC geriatrics Apr 7, 2026

Performance of 4 artificial intelligence chatbots in responding to multiple choice questions in operative dentistry.

BMC oral health Apr 7, 2026

Associations between digital healthy diet literacy, artificial intelligence attitudes, mediterranean diet adherence, and health-related quality of life in adults.

BMC public health Apr 7, 2026

Three-dimensional automatic segmentation of root canals with focus on the second mesiobuccal canal using nnU-Netv2 on CBCT images: deep learning approach.

BMC oral health Apr 7, 2026

Decision-making for ICU admission: is there a place for AI? Exploring and understanding meaning, experiences, and perspectives.

BMC medical ethics Apr 7, 2026

Development and external validation of a machine learning model for predicting chronic critical illness in ICU patients with acute pancreatitis.

BMC medical informatics and decision making Apr 7, 2026

BACKGROUND: To develop and validate a machine learning (ML) model to assess the risk of chronic critical illness (CCI) in intensive care unit (ICU) patients with acute pancreatitis (AP). METHODS: We utilised two large, publicly available ICU datasets... read more

Machine learning-driven discovery of host genetic factors for paratuberculosis in goats within the one health framework.

BMC veterinary research Apr 7, 2026

Artificial Intelligence Medical Compendium

Evaluation of artificial intelligence-generated vignettes depicting patient chatbot use in psychiatric contexts.

Scientists invented a fake disease. AI told people it was real.

Deep learning assessment of nativeness and pairing likelihood for antibody and nanobody design with AbNatiV2.

Development and validation of a clinical nomogram for frailty prediction in older COPD patients: a machine learning approach.

Performance of 4 artificial intelligence chatbots in responding to multiple choice questions in operative dentistry.

Associations between digital healthy diet literacy, artificial intelligence attitudes, mediterranean diet adherence, and health-related quality of life in adults.

Three-dimensional automatic segmentation of root canals with focus on the second mesiobuccal canal using nnU-Netv2 on CBCT images: deep learning approach.

Decision-making for ICU admission: is there a place for AI? Exploring and understanding meaning, experiences, and perspectives.

Development and external validation of a machine learning model for predicting chronic critical illness in ICU patients with acute pancreatitis.

Machine learning-driven discovery of host genetic factors for paratuberculosis in goats within the one health framework.

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