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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Humans Machine Learning Decision Support Techniques Aged Male Middle Aged Risk Assessment Databases, Factual Retrospective Studies Female Risk Factors Minimally Invasive Surgical Procedures Tumor Burden Hepatectomy Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Predictive Value of Tests
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Indication model for laparoscopic repeat liver resection in the era of artificial intelligence: machine learning prediction of surgical indication.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires a careful selection of indications. However, the current difficulty scoring system is not suitable for selecting indications. The purpose of this stu...
Machine Learning Conversion to Open Surgery Retrospective Studies Liver Neoplasms Female Laparoscopy Risk Factors Hepatectomy Aged Reoperation Male Middle Aged Humans Risk Assessment
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Comparison of predictive models for knee pain and analysis of individual and physical activity variables using interpretable machine learning.

The Knee Mar 4, 2025
BACKGROUND: Knee pain is associated with not only individual factors such as age and obesity but also physical activity factors such as occupational activities and exercise, which has a significant impact on the lives of adults and the elderly.
Humans Machine Learning Female Exercise Pain Measurement Knee Joint Arthralgia Aged Adult Male Middle Aged
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Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Computers in biology and medicine Mar 4, 2025
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a no...
Bevacizumab Mutation Paclitaxel Machine Learning Liquid Biopsy Immunotherapy Retrospective Studies Clinical Trials, Phase III as Topic Antineoplastic Combined Chemotherapy Protocols Female Carcinoma, Non-Small-Cell Lung Aged Randomized Controlled Trials as Topic Biomarkers, Tumor Male Middle Aged Humans Lung Neoplasms
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Circadian rhythm modulation in heart rate variability as potential biomarkers for major depressive disorder: A machine learning approach.

Journal of psychiatric research Mar 4, 2025
Major depressive disorder (MDD) is associated with reduced heart rate variability (HRV), but its link to circadian rhythm modulation (CRM) of HRV is unclear. Given that depression disrupts circadian rhythms, assessing HRV fluctuations may better capt...
Depressive Disorder, Major Circadian Rhythm Electrocardiography, Ambulatory Autonomic Nervous System Young Adult Humans Heart Rate Adult Machine Learning Male Biomarkers Middle Aged Female
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Initial study of verbal and nonverbal communication training through the collaborative operation of a humanoid robot for individuals with autism spectrum disorder.

Asian journal of psychiatry Mar 4, 2025
Individuals with autism spectrum disorder (ASD) experience difficulties in both verbal and nonverbal communication. Collaborative work allows them to use and develop their nonverbal communication abilities. Therefore, we developed a collaborative wor...
Adolescent Robotics Feasibility Studies Humans Verbal Behavior Autism Spectrum Disorder Young Adult Female Adult Communication Male Nonverbal Communication
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Prediction of clinical risk factors in pregnancy using optimized neural network scheme.

Placenta Mar 4, 2025
Women should be aware of prenancy related health issues. A user-friendly model is developed in which the patients can use as well as clinicians to determine the risks associated with foetal development inside the womb, birth weight, whose effects are...
Birth Weight Fetal Weight Pregnancy Humans Female Neural Networks, Computer Risk Factors Algorithms Ultrasonography, Prenatal
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Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

Oral oncology Mar 4, 2025
OBJECTIVES: Human papillomavirus (HPV) influences the pathobiology of Head and Neck Squamous Cell Carcinomas (HSNCCs). While deep learning shows promise in detecting HPV from hematoxylin and eosin (H&E) stained slides, the histologic features utilize...
Humans Squamous Cell Carcinoma of Head and Neck Artificial Intelligence Head and Neck Neoplasms Female Papillomaviridae Male Papillomavirus Infections
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Healthcare leaders' perceptions of the contribution of artificial intelligence to person-centred care: An interview study.

Scandinavian journal of public health Mar 4, 2025
AIMS: The aim of this study was to explore healthcare leaders' perceptions of the contribution of artificial intelligence (AI) to person-centred care (PCC).
Patient-Centered Care Middle Aged Qualitative Research Attitude of Health Personnel Interviews as Topic Humans Artificial Intelligence Health Personnel Female Sweden Adult Male
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Assessments of lung nodules by an artificial intelligence chatbot using longitudinal CT images.

Cell reports. Medicine Mar 4, 2025
Large language models have shown efficacy across multiple medical tasks. However, their value in the assessment of longitudinal follow-up computed tomography (CT) images of patients with lung nodules is unclear. In this study, we evaluate the ability...
Middle Aged Lung Lung Neoplasms Generative Artificial Intelligence Longitudinal Studies Multiple Pulmonary Nodules Solitary Pulmonary Nodule Tomography, X-Ray Computed Female Aged Male Humans Artificial Intelligence
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