Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 671 to 680 of 213,137 articles

Linear screening and machine learning to identify suitable candidates for active breathing control after mastectomy in left-sided breast cancer.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: To evaluate the dosimetric benefit of deep inspiration breath-hold (DIBH) using the Active Breathing Coordinator (ABC) for left-sided breast cancer radiotherapy and to identify patients most likely to benefit based on free-breathing (FB) ana... read more 

[Would artificial intelligence pass a Geriatrics exam?: evaluating conversational responses and their accuracy].

Revista espanola de geriatria y gerontologia
OBJECTIVE: To evaluate the accuracy of six different artificial intelligence (AI) models in answering questions from Spain's MIR (Médico Interno Residente) exam related to Geriatrics. METHODS: The performance of six AI models was analyzed by comparin... read more 

Data-Driven Healthy China Pathway: Evolution, Framework, and Global Implications of National Digital Health Strategic Planning.

Journal of medical Internet research
Amid accelerating digital health transformation, China has developed a centrally coordinated data-driven healthy China pathway. This viewpoint conceptualizes this pathway as a hybrid continuous planning framework (HCPF) that links long-term strategic... read more 

Looking to the brain to improve energy efficiency of AI.

Current biology : CB
Modern artificial intelligence (AI) systems have achieved remarkable capabilities, but at an extraordinary energy cost. Training and running large-scale models can consume vast resources, posing environmental, economic, and societal challenges. In co... read more 

Viral protease-initiated lytic cell death as a universal antiviral mRNA therapy.

Cell
While gasdermin (GSDM)-mediated pyroptosis is a potent immune effector, its antiviral potential remains largely untapped. Here, we introduce viral protease-initiated lytic cell death (VID), a universal mRNA therapeutic platform inspired by the modula... read more 

Quantifying Artificial Intelligence Contribution in Academic Writing: Development of the Transparency and Reporting of Artificial Intelligence Contribution for Evaluating Submissions Instrument.

The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses
BACKGROUND: There has been an increase in the availability and use of artificial intelligence (AI) across many professional domains, and there are traces of AI in nearly every manuscript published using modern technology. It is becoming increasingly ... read more 

HPA-Net: a lightweight hierarchical progressive fusion network for cardiac disease detection based on ECG-PCG signals.

Biomedical physics & engineering express
Cardiovascular disease (CVD) remains a leading global health threat, creating a strong clinical need for convenient and rapid diagnostic methods. However, current single-modality and conventional fusion methods often fail to adequately utilize the in... read more 

Radiological Clearance at CERN: Classical Machine Learning Methods for Waste Classification.

Journal of radiological protection : official journal of the Society for Radiological Protection
At CERN, the maintenance and dismantling of high-energy particle accelerators generate waste that is potentially radioactive. When activity levels are negligible, waste can be released from regulatory control through clearance procedures. However, ra... read more 

Machine Learning Prediction of Liver Fibrosis in Patients with Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD).

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
BACKGROUND: Accurate staging of liver fibrosis is crucial for risk stratification in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to develop and validate AI-based models capable of distinguishing fibrosis s... read more 

Bisphenol A drives the comorbidity of non-alcoholic fatty liver disease and osteoarthritis by targeting RHOB: Integrated multi-omics, single-cell analysis, and experimental validation.

Experimental gerontology
BACKGROUND: This study focuses on exploring the co-morbid mechanisms by which Bisphenol A (BPA) induces non-alcoholic fatty liver disease (NAFLD) and osteoarthritis (OA). METHOD: This study identified potential BPA targets utilizing the SwissTargetPr... read more