Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Analgesia and Pain Management01:25

Analgesia and Pain Management

547
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...
547
Pain01:20

Pain

469
Pain serves as a critical warning signal that alerts the body to potential or actual harm. When mechanical pressure on the skin is intense, such as from a sharp pinch, the sensation transitions from touch to pain. Similarly, extreme temperatures, like a hot pot handle, convert the sensation of heat into pain. Pain can also result from overstimulation of other senses, such as blinding light, loud noise, or the intense heat from habañero peppers. This ability to sense pain is essential for...
469

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Oral Food Supplement with Bio-Activated Silicium and Vitamins D3 and K2 in the Conservative Management of Osteoporotic Vertebral Compression Fractures.

Journal of clinical medicine·2026
Same author

Cychlorphine (<i>N</i>-Propionitrile Chlorphine): An Emerging Benzimidazolone Synthetic Opioid and Its Implications for Overdose Recognition and Management.

Journal of pain research·2026
Same author

Psychedelics and Ibogaine "Pain Medications" at the Pharmacy Counter: Implications for Pharmacy Practice.

Journal of pain research·2026
Same author

From the Pain Matrix to Functional Networks: A Narrative Review of Chronic Pain Mechanisms Across Adult and Pediatric Populations with Emerging AI Perspectives.

Brain sciences·2026
Same author

Multidisciplinary Strategies for Tailored Anesthesia Management in Children Undergoing Radiotherapy.

Children (Basel, Switzerland)·2026
Same author

High Fidelity Simulations to Improve Pediatric Airway Management: A Narrative Review.

Healthcare (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jun 11, 2025

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.6K

Artificial Intelligence-Driven Diagnostic Processes and Comprehensive Multimodal Models in Pain Medicine.

Marco Cascella1, Matteo L G Leoni2, Mohammed Naveed Shariff3

  • 1Anesthesia and Pain Medicine, Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84081 Baronissi, Italy.

Journal of Personalized Medicine
|September 28, 2024
PubMed
Summary

Artificial intelligence (AI) can improve pain diagnosis by analyzing diverse data. However, ethical concerns and validation needs hinder widespread clinical adoption of AI in pain management.

Keywords:
artificial intelligenceautomatic pain assessmentpainpain diagnosis

More Related Videos

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
09:16

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

Published on: April 5, 2019

10.6K
Author Spotlight: Quantifying Pain Experience &#8211; An Illustrative Approach Using the Pain Body Diagram
09:00

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

3.4K

Related Experiment Videos

Last Updated: Jun 11, 2025

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.6K
Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
09:16

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

Published on: April 5, 2019

10.6K
Author Spotlight: Quantifying Pain Experience &#8211; An Illustrative Approach Using the Pain Body Diagram
09:00

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

3.4K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Pain Management

Background:

  • Pain diagnosis is complex due to subjectivity and biopsychosocial factors.
  • Artificial intelligence (AI) offers potential for enhanced pain diagnosis and personalized management.
  • Current diagnostic methods struggle with individual variability in pain expression.

Purpose of the Study:

  • To review computer-aided diagnosis methods for pain.
  • To explore AI integration into multimodal pain diagnostic models.
  • To identify challenges and future directions for AI in pain management.

Main Methods:

  • Literature review of AI applications in pain diagnosis.
  • Analysis of multimodal AI models combining facial, neuroimaging, and physiological data.
  • Discussion of ethical considerations and implementation challenges.

Main Results:

  • AI demonstrates potential to improve diagnostic accuracy and treatment prediction.
  • Multimodal AI models integrate diverse data for comprehensive pain assessment.
  • Significant challenges include ethical issues, data bias, and lack of generalizability.

Conclusions:

  • AI holds promise for revolutionizing pain diagnosis and management.
  • Addressing ethical concerns and ensuring clinical validation are critical for AI adoption.
  • Standardized protocols are needed for implementing AI in diverse healthcare settings.