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This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks
Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks Neural networks are powerful tools for tackling complex data-driven tasks. However, they often encounter difficulties when making discrete decisions under strict constraints, such as routing vehicles or scheduling jobs. These discrete decision problems, prevalent in operations research, are computationally… →
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The Impact of Internet Hospital Follow-Up on the Quality of Life of Patients With Epilepsy: Randomized Controlled Trial
CONCLUSIONS: Long-term follow-up through IHs can effectively improve the quality of life and reduce anxiety and depression in patients with epilepsy. This model provides effective support, making it an important tool for managing epilepsy. Therefore, IH management is recommended as a feasible approach for epilepsy follow-up in clinical practice. →
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Direct-Access Physiotherapy to Improve Access to Quality Care for Children and Adolescents Presenting to the Pediatric Emergency Department With Musculoskeletal Problems: The PEDPT-MSK Pilot Randomized Control Trial
OBJECTIVE: This pilot study aimed to evaluate the feasibility of conducting a randomized controlled trial (RCT) comparing direct-access physiotherapy for children and adolescents presenting to the pediatric emergency department (ED) with low acuity musculoskeletal complaints, to current usual care provided by a physician alone. DESIGN: Pragmatic parallel 2-arm, single-blinded, single site, feasibility pilot RCT. METHODS:… →
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Effects of Esketamine Versus Remifentanil on Hemodynamics and Prognosis in Patients with Septic Shock Receiving Invasive Mechanical Ventilation: A Randomized Controlled Trial
CONCLUSION: Esketamine may decrease the dosage of norepinephrine in patients with septic shock receiving invasive mechanical ventilation. It is beneficial for stabilizing hemodynamics and appears to be an effective and safe agent for patients with septic shock requiring invasive mechanical ventilation. →
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Interpretable noninvasive diagnosis of tuberculous pleural effusion using LGBM and SHAP: development and clinical application of a machine learning model
CONCLUSIONS: This interpretable LGBM-based model provides a reliable, noninvasive tool for TPE diagnosis. It supports clinical decision-making with real-time risk assessment and promises broader applicability through future integration into clinical information systems. →
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Can LLMs Really Judge with Reasoning? Microsoft and Tsinghua Researchers Introduce Reward Reasoning Models to Dynamically Scale Test-Time Compute for Better Alignment
Can LLMs Really Judge with Reasoning? Introduction Recent advancements in large language models (LLMs) have brought attention to their capabilities in reasoning and judgment. Researchers from Microsoft and Tsinghua University have introduced Reward Reasoning Models (RRMs), which aim to enhance the alignment of LLMs through dynamic scaling of computational resources during test-time evaluations. The Role… →
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Dextrose prolotherapyeffectin improving thetemporomandibular joint disc displacement symptoms without reduction refractory to conservative treatment: a pilot study
This study aimed to evaluate the efficacy of intra-articular injection of 5% Dextrose (D5W) prolotherapy in treatment symptoms of Temporomandibular Joint (TMJ) Disc Displacement without Reduction (DDwoR) with limited mouth opening (Closed-Lock) of patients’refractory to pharmacological and physical therapy. This pilot study included twenty female patients suffering from symptoms of DDwoR with limited mouth opening… →
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Efficacy and safety of combining tislelizumab with capecitabine compared to capecitabine alone in the adjuvant treatment of biliary tract cancers: rationale and protocol design for a randomized clinical trial
BACKGROUND: Adjuvant therapy with capecitabine is recommended to improve survival for resectable biliary tract cancers (BTC) patients. Considering that the combination of PD-1/PD-L1 inhibitors with chemotherapy has demonstrated a survival benefit over chemotherapy alone in advanced stage BTC, we aim to evaluate the treatment efficacy and safety of tislelizumab, a PD-1 inhibitor, combined with capecitabine… →
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My patient might be depressed — can I still screen for MCI? Exploring cognitive performance on the MoCA in older people screened for depressive symptoms with the PHQ-9
CONCLUSION: Cognitive screening with the MoCA seems to be robust against depression and could therefore be used to screen for MCI regardless of depression level. →
