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Related Concept Videos

Local Anesthetics: Clinical Application as Intravenous Regional Anesthesia01:16

Local Anesthetics: Clinical Application as Intravenous Regional Anesthesia

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Intravenous regional anesthesia or the Bier block technique is used to anesthetize a specific limb or extremity. It uses exsanguinated or blood-drained vessels to transport local anesthetics or LAs to the peripheral nerve trunks. Lidocaine without vasoconstrictors like epinephrine is most commonly used for this technique. Other drugs used are prilocaine, ropivacaine, and chloroprocaine. Bupivacaine is not recommended for this technique due to its high cardiac toxicity.
One of the advantages of...
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Analgesia and Pain Management01:25

Analgesia and Pain Management

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Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
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General Anesthesia: Overview01:24

General Anesthesia: Overview

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Anesthesia is a medical procedure that uses drugs for CNS suppression to enable painless surgeries and procedures. The selection of anesthetics is influenced by their pharmacokinetic properties, side effects, and patient characteristics. Various types of anesthesia include general, local, regional, spinal, and inhalational.
General anesthesia induces unconsciousness in the whole body, while the others target specific areas or sensations. It is administered to minimize adverse effects, maintain...
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Local Anesthetics: Clinical Application as Spinal Anesthesia01:11

Local Anesthetics: Clinical Application as Spinal Anesthesia

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Spinal anesthetics are given during lower abdomen and limb surgeries to block sensory and motor neurons. They are administered in the mid to low lumbar regions, primarily acting on the cauda equina's nerve roots. The blockade level depends on the local anesthetic (LA) concentration. Usually, low LA concentrations are sufficient to block sensory fibers, while only high LA concentrations block motor fibers. Other factors like injection volume and speed, the patient's posture, and the drug...
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Local Anesthetics: Clinical Application as Epidural Anesthesia01:29

Local Anesthetics: Clinical Application as Epidural Anesthesia

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Epidural anesthetics are administered in the fat-filled epidural space, the outermost part of the spinal canal. This technique is commonly employed for pain management and anesthesia during lower abdomen and pelvis surgeries or labor and delivery.
Since epidural anesthetics can be infused through an epidural catheter, all types of drugs, including short-acting ones, can be administered. Chloroprocaine and lidocaine are examples of short and long-duration anesthetics, respectively. Bupivacaine...
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Local Anesthetics: Clinical Application as Surface, Infiltration, and Conduction Block Anesthesia01:30

Local Anesthetics: Clinical Application as Surface, Infiltration, and Conduction Block Anesthesia

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Depending on the target organ, local anesthetics (LAs) can be administered via various routes. In surface anesthesia, LAs are applied directly to the surface of the skin or mucous membranes. It is widely used for topical skin numbing before venipuncture or minor surgical procedures. Commonly used surface local anesthetics are lidocaine or benzocaine sprays or creams. Surface anesthesia occurs within 5 minutes and lasts for about 60 minutes. One of the main disadvantages of topical anesthesia is...
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Artificial Intelligence in Regional Anesthesia and Pain Management.

Heitor J S Medeiros1, Ali Dabbagh2, Kamen Vlassakov3

  • 1Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, USA.

Anesthesiology Clinics
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Summary

Artificial intelligence (AI) enhances regional anesthesia precision using machine learning to interpret ultrasound images. This improves nerve identification, reduces errors, and aids anesthesiologists, particularly in labor epidurals.

Keywords:
Artificial intelligenceAutomationEducationMachine learningPain managementPredictive analyticsRegional anesthesiaUltrasound

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Area of Science:

  • Anesthesiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Regional anesthesia relies on precise ultrasound guidance for safety and efficacy.
  • Anesthesiologists face a learning curve in interpreting ultrasound images for accurate needle placement.
  • Identifying anatomical structures like nerves and blood vessels is critical for procedural success.

Purpose of the Study:

  • To evaluate the impact of artificial intelligence (AI) on the precision and efficiency of ultrasound-guided regional anesthesia.
  • To assess AI's ability to identify critical anatomical structures in real-time during procedures.
  • To investigate AI's role in reducing the learning curve and procedural errors for anesthesiologists.

Main Methods:

  • Utilizing advanced machine learning algorithms, specifically convolutional neural networks, for automated ultrasound image interpretation.
  • Developing AI-powered systems for real-time analysis of ultrasound data to identify nerves, blood vessels, and other relevant anatomy.
  • Implementing AI tools, such as a spinal level identification device, in clinical settings.

Main Results:

  • AI demonstrates unparalleled precision and efficiency in ultrasound-guided regional anesthesia procedures.
  • Real-time image interpretation by AI accurately identifies nerves and blood vessels, shortening the learning curve for practitioners.
  • AI-powered spinal level identification shows superior accuracy, especially in patients with higher body mass index.

Conclusions:

  • AI significantly enhances the accuracy and efficiency of ultrasound-guided regional anesthesia.
  • AI-driven image analysis reduces procedural errors and improves needle placement.
  • AI technology shows promise for improving outcomes in labor anesthesia and for challenging patient populations.