Latest AI and machine learning research in back pain for healthcare professionals.
INTRODUCTION: Nonmedical use of prescription medications/drugs (NMUPD) is a serious public health th...
OBJECTIVES: A once-daily, extended-release hydrocodone bitartrate tablet with abuse-deterrent proper...
BACKGROUND: Opioids are used for the treatment of pain. However, 30-50% of patients have insufficien...
Chronic non-cancer pain (CNCP) is a major health concern in the United States, incurring substantial...
PURPOSE OF REVIEW: To summarize recent developments in the understanding of the pharmacology of the ...
BACKGROUND: Despite advances in pain management, inadequate pain relief and opioid-related adverse e...
Considering the limitations of use and side effects of existing analgesics, the discovery of new ana...
Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...
IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...
OBJECTIVE: Building upon our previous work on predicting chronic opioid use using electronic health ...
Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...
BACKGROUND: The opioid epidemic in the United States remains a major public health concern, with opi...
This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (...
This paper examines the rise of clinical decision support algorithms used to assess risk in pain man...
Introduction: Operative management of spinal metastatic disease is largely for symptom palliation an...
Pain is a complex, multidimensional experience involving significant challenges in both diagnosis an...
OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze admini...
Natural Language Processing can be used to identify opioid use disorder in patients from clinical te...
BACKGROUND: Regional anesthetic nerve blocks are widely used in the treatment of pain after outpatie...
This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify ...
Potential of natural language processing (NLP) in extracting patient's information from clinical not...