Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...
Frontiers

Association between marital status and in-hospital mortality in patients with acute coronary syndrome: a multivariable logistic regression analysis

Background: In patients with acute coronary syndrome (ACS), marital status may have a significant impact on the prognosis. However, it remains unclear whether marital status influences in-hospital ...
ZDNet

I stopped using ChatGPT for everything: These AI models beat it at research, coding, and more

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...
BMJ

Development and validation of a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection after radical colorectal cancer surgery

Objective To develop and validate a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection (POI) after radical colorectal cancer (CRC) surgery.
Reuters

Exclusive: Meta's new AI team delivered first key models internally this month, CTO says

Meta Superintelligence Labs team was formed last year CTO says new models 'very good' Company had faced criticism over performance of Llama 4 model DAVOS, Switzerland, Jan 21 (Reuters) - Meta ...
ascopubs.org

Synoptic Multidisciplinary Team Meeting Workflows to Promote Guideline-Based Classification of Resectability in Pancreatic Cancer: A Multicenter Prospective Study

To address incomplete and inconsistent classification of pancreatic cancer resectability according to International Association of Pancreatology (IAP) anatomic, biologic, and conditional criteria. We ...
Hosted on MSN

Logistic regression power explained using one derivative

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning ...
ascopubs.org

Imaging- and Tumor Biomarker–Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer

Minimal Residual Disease Detection in Peripheral Blood of Patients With High-Risk Neuroblastoma Correlates With Outcome in the International GPOH-DCOG Prospective Validation Study This study included ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
ahajournals.org

Abstract 4341365: Prediction of Aspiration Pneumonia After Cardiac Surgery Using Preoperative Oral Frailty: A Logistic Model

Background: Aspiration pneumonia is a serious complication after cardiac surgery, particularly among older patients. Preoperative oral frailty—decline in oral function including poor hygiene and ...
CNBC

OpenAI introduces safety models that other sites can use to classify harms

OpenAI announced two so-called open-weight reasoning models. Developers can use the models to classify a range of online safety harms based on their specific policy needs. OpenAI developed the models ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...