Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2

Igor Petrušić; Chia-Chun Chiang; David Garcia-Azorin; Woo-Seok Ha; Raffaele Ornello; Lanfranco Pellesi; Eloisa Rubio-Beltrán; Ruth Ruscheweyh; Marta Waliszewska-Prosół; William Wells-Gatnik

doi:10.1186/s10194-024-01944-7

Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2

Igor Petrušić, Chia-Chun Chiang, David Garcia-Azorin, Woo-Seok Ha, Raffaele Ornello, Lanfranco Pellesi, Eloisa Rubio-Beltrán, Ruth Ruscheweyh, Marta Waliszewska-Prosół, William Wells-Gatnik

Research output: Contribution to journal › Review article › peer-review

Abstract

Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-driven drug discovery. Digital twins, as dynamic digital representations of patients, offer opportunities for personalized headache management by integrating diverse datasets such as neuroimaging, multiomics, and wearable sensor data to advance headache research, optimize treatment, and enable virtual trials. In addition, AI-driven wearable devices equipped with next-generation biosensors combined with multi-agent chatbots could enable real-time physiological and biochemical monitoring, diagnosing, facilitating early headache attack forecasting and prevention, disease tracking, and personalized interventions. Furthermore, AI-driven advances in drug discovery leverage machine learning and generative AI to accelerate the identification of novel therapeutic targets and optimize treatment strategies for migraine and other headache disorders. Despite these advances, challenges such as data standardization, model explainability, and ethical considerations remain pivotal. Collaborative efforts between clinicians, biomedical and biotechnological engineers, AI scientists, legal representatives and bioethics experts are essential to overcoming these barriers and unlocking AI's full potential in transforming headache research and healthcare. This is a call to action in proposing novel frameworks for integrating AI-based technologies into headache care.

Original language	English
Article number	2
Pages (from-to)	2
Journal	The journal of headache and pain
Volume	26
Issue number	1
DOIs	https://doi.org/10.1186/s10194-024-01944-7
Publication status	Published - 2 Jan 2025

Keywords

Humans
Artificial Intelligence/trends
Headache/therapy
Wearable Electronic Devices/trends
Biomedical Research/methods

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10.1186/s10194-024-01944-7

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Petrušić, I., Chiang, C.-C., Garcia-Azorin, D., Ha, W.-S., Ornello, R., Pellesi, L., Rubio-Beltrán, E., Ruscheweyh, R., Waliszewska-Prosół, M., & Wells-Gatnik, W. (2025). Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2. The journal of headache and pain, 26(1), 2. Article 2. https://doi.org/10.1186/s10194-024-01944-7

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title = "Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2",

abstract = "Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-driven drug discovery. Digital twins, as dynamic digital representations of patients, offer opportunities for personalized headache management by integrating diverse datasets such as neuroimaging, multiomics, and wearable sensor data to advance headache research, optimize treatment, and enable virtual trials. In addition, AI-driven wearable devices equipped with next-generation biosensors combined with multi-agent chatbots could enable real-time physiological and biochemical monitoring, diagnosing, facilitating early headache attack forecasting and prevention, disease tracking, and personalized interventions. Furthermore, AI-driven advances in drug discovery leverage machine learning and generative AI to accelerate the identification of novel therapeutic targets and optimize treatment strategies for migraine and other headache disorders. Despite these advances, challenges such as data standardization, model explainability, and ethical considerations remain pivotal. Collaborative efforts between clinicians, biomedical and biotechnological engineers, AI scientists, legal representatives and bioethics experts are essential to overcoming these barriers and unlocking AI's full potential in transforming headache research and healthcare. This is a call to action in proposing novel frameworks for integrating AI-based technologies into headache care.",

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Petrušić, I, Chiang, C-C, Garcia-Azorin, D, Ha, W-S, Ornello, R, Pellesi, L, Rubio-Beltrán, E, Ruscheweyh, R, Waliszewska-Prosół, M & Wells-Gatnik, W 2025, 'Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2', The journal of headache and pain, vol. 26, no. 1, 2, pp. 2. https://doi.org/10.1186/s10194-024-01944-7

TY - JOUR

T1 - Influence of next-generation artificial intelligence on headache research, diagnosis and treatment

T2 - the junior editorial board members' vision - part 2

AU - Petrušić, Igor

AU - Chiang, Chia-Chun

AU - Garcia-Azorin, David

AU - Ha, Woo-Seok

AU - Ornello, Raffaele

AU - Pellesi, Lanfranco

AU - Rubio-Beltrán, Eloisa

AU - Ruscheweyh, Ruth

AU - Waliszewska-Prosół, Marta

AU - Wells-Gatnik, William

PY - 2025/1/2

Y1 - 2025/1/2

N2 - Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-driven drug discovery. Digital twins, as dynamic digital representations of patients, offer opportunities for personalized headache management by integrating diverse datasets such as neuroimaging, multiomics, and wearable sensor data to advance headache research, optimize treatment, and enable virtual trials. In addition, AI-driven wearable devices equipped with next-generation biosensors combined with multi-agent chatbots could enable real-time physiological and biochemical monitoring, diagnosing, facilitating early headache attack forecasting and prevention, disease tracking, and personalized interventions. Furthermore, AI-driven advances in drug discovery leverage machine learning and generative AI to accelerate the identification of novel therapeutic targets and optimize treatment strategies for migraine and other headache disorders. Despite these advances, challenges such as data standardization, model explainability, and ethical considerations remain pivotal. Collaborative efforts between clinicians, biomedical and biotechnological engineers, AI scientists, legal representatives and bioethics experts are essential to overcoming these barriers and unlocking AI's full potential in transforming headache research and healthcare. This is a call to action in proposing novel frameworks for integrating AI-based technologies into headache care.

AB - Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-driven drug discovery. Digital twins, as dynamic digital representations of patients, offer opportunities for personalized headache management by integrating diverse datasets such as neuroimaging, multiomics, and wearable sensor data to advance headache research, optimize treatment, and enable virtual trials. In addition, AI-driven wearable devices equipped with next-generation biosensors combined with multi-agent chatbots could enable real-time physiological and biochemical monitoring, diagnosing, facilitating early headache attack forecasting and prevention, disease tracking, and personalized interventions. Furthermore, AI-driven advances in drug discovery leverage machine learning and generative AI to accelerate the identification of novel therapeutic targets and optimize treatment strategies for migraine and other headache disorders. Despite these advances, challenges such as data standardization, model explainability, and ethical considerations remain pivotal. Collaborative efforts between clinicians, biomedical and biotechnological engineers, AI scientists, legal representatives and bioethics experts are essential to overcoming these barriers and unlocking AI's full potential in transforming headache research and healthcare. This is a call to action in proposing novel frameworks for integrating AI-based technologies into headache care.

KW - Humans

KW - Artificial Intelligence/trends

KW - Headache/therapy

KW - Wearable Electronic Devices/trends

KW - Biomedical Research/methods

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U2 - 10.1186/s10194-024-01944-7

DO - 10.1186/s10194-024-01944-7

M3 - Review article

C2 - 39748331

SN - 1129-2369

VL - 26

SP - 2

JO - The journal of headache and pain

JF - The journal of headache and pain

IS - 1

M1 - 2

ER -

Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2

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