Pain Management

Annotation of Opioid Use Disorder Entity Modifiers in Clinical Text.

Natural Language Processing can be used to identify opioid use disorder in patients from clinical te...

Machine Learning in Pain Neuromodulation.

This chapter highlights the intersection of pain neuromodulation and machine learning (ML), explorin...

Artificial Intelligence and Family Medicine.

Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the pra...

Comparative analysis of machine learning models for efficient low back pain prediction using demographic and lifestyle factors.

BACKGROUND: Low back pain (LBP) is one of the most frequently occurring musculoskeletal disorders, a...

Classifying Alzheimer's Disease Neuropathology Using Clinical and MRI Measurements.

BACKGROUND: Computer-aided machine learning models are being actively developed with clinically avai...

ChatGPT's accuracy and patient-oriented answers about fibromyalgia.

Explainable deep learning enhances robust and reliable real-time monitoring of a chromatographic protein A capture step.

The application of model-based real-time monitoring in biopharmaceutical production is a major step ...

Erector Spinae Plane Block versus Transversus Abdominis Plane Block for Robotic Inguinal Hernia Repair: A Blinded, Active-Controlled, Randomized Trial.

BACKGROUND: Regional anesthetic nerve blocks are widely used in the treatment of pain after outpatie...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...

DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates.

The enzyme turnover rate, ${k}_{cat}$, quantifies enzyme kinetics by indicating the maximum efficien...

Biological activities of crude leaf extract and fractions of Scutellaria sibthorpii (Benth.) Halácsy: An endemic plant of North-Cyprus.

Scutellaria sibthorpii is used in treatment of bacterial infections, pains and inflammations. The le...

A different way to diagnosis acute appendicitis: machine learning.

<b><br>Indroduction:</b> Machine learning is a branch of artificial intelligence b...

Design and implementation of a smart Internet of Things chest pain center based on deep learning.

The data input process for most chest pain centers is not intelligent, requiring a lot of staff to m...

Effects of 0.15% ropivacaine alone and combination with sufentanil on epidural labor analgesia and adverse reactions.

OBJECTIVE: The aim of this study was to compare the impacts of 0.15% ropivacaine alone and 0.15% rop...

Utilizing Deep Learning to Identify an Ultrasound-guided Nerve Block Target Zone.

Ultrasound guided nerve blocks are increasingly being used in perioperative care as a means of safel...

Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.

This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify ...

Laparoscopic TAPP to treat inguinal hernia. Is the robot preferable? A review and cohort-study on anatomical landmarks of robotic-assisted transabdominal preperitoneal groin hernia repair (r-TAPP).

In this review, the advantages of the robotic platform in rTAPP are presented and discussed. Against...

Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists' diagnostic accuracy.

BACKGROUND: Misdiagnoses of headache disorders are a serious issue. Therefore, we developed an artif...

Crossing the Rubicon? The future impact of artificial intelligence on headache medicine.

[Artificial intelligence and psychiatry: questions from psychiatrists to ChatGPT].

Psychiatrists and psychotherapists specialising in the fields of addiction, personality disorders, A...

Using artificial intelligence to improve pain assessment and pain management: a scoping review.

CONTEXT: Over 20% of US adults report they experience pain on most days or every day. Uncontrolled p...