BMC Artificial Intelligence

Latest collections open to submissions

AI in mental health monitoring

Guest edited by Johannes Kirchebner and Mostafa Rezapour

AI-powered plant monitoring

Guest edited by Alvaro Fuentes and Adel Hafiane

AI in telemedicine

Guest edited by Hassan Ghasezadeh and Vijay Bhaskar Semwal

AI in oncology: personalized treatm ent and predictive modeling

Guest edited by Okyaz Eminaga and Fredrik Strand

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Application of machine learning algorithms for predicting the outcome of therapeutic intervention of colorectal cancer patients in Palestine with a global comparison

Authors: Amal Shaikhah, Fayek Elkhwsky, Yousef Aljeesh, Waleed Arafat, Mohammed El-Sebaiy and Noha El-Attar

Content type: Research 24 July 2025
Inconsistency detection in cancer data classification using explainable-AI

Authors: Pouria Mortezaagha, Abhisht Makarand Joshi and Arya Rahgozar

Content type: Research 21 July 2025
Application of artificial intelligence in bioprospecting for natural products for biopharmaceutical purposes

Authors: Victor Uchenna Chigozie, Chidozie Godwin Ugochukwu, Kingsley Otubo Igboji and Festus Basden Okoye

Content type: Review 15 July 2025
End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning

Authors: Asier Rabasco Meneghetti, Marta Ligero Hernández, Jens-Peter Kühn, Steffen Löck, Zunamys Itzell Carrero, Raquel Perez-Lopez, Keno K. Bressem, Titus J. Brinker, Alexander T. Pearson, Daniel Truhn, Sven Nebelung and Jakob Nikolas Kather

Content type: Research 24 June 2025
Harnessing artificial intelligence for predictive modeling in combating antimicrobial resistance: a call for integration and innovation

Authors: Adamu Muhammad Ibrahim, Mohamed Mustaf Ahmed, Shuaibu Saidu Musa, Usman Abubakar Haruna, Mohammed Raihanatu Hamid, Ayodele Isaac Adedokun, Aishat Muhammad Saleh and Don Lucero-Prisno Eliso III

Content type: Comment 24 June 2025

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End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning

Authors: Asier Rabasco Meneghetti, Marta Ligero Hernández, Jens-Peter Kühn, Steffen Löck, Zunamys Itzell Carrero, Raquel Perez-Lopez, Keno K. Bressem, Titus J. Brinker, Alexander T. Pearson, Daniel Truhn, Sven Nebelung and Jakob Nikolas Kather

Content type: Research 24 June 2025
Harnessing artificial intelligence for predictive modeling in combating antimicrobial resistance: a call for integration and innovation

Authors: Adamu Muhammad Ibrahim, Mohamed Mustaf Ahmed, Shuaibu Saidu Musa, Usman Abubakar Haruna, Mohammed Raihanatu Hamid, Ayodele Isaac Adedokun, Aishat Muhammad Saleh and Don Lucero-Prisno Eliso III

Content type: Comment 24 June 2025
Developing amharic text-based chatbot model for HIV/AIDS awareness and care using deep learning approaches

Authors: Abebu Sintayehu and Eshete Derb Emiru

Content type: Research 24 June 2025
Application of artificial intelligence in bioprospecting for natural products for biopharmaceutical purposes

Authors: Victor Uchenna Chigozie, Chidozie Godwin Ugochukwu, Kingsley Otubo Igboji and Festus Basden Okoye

Content type: Review 15 July 2025
Inconsistency detection in cancer data classification using explainable-AI

Authors: Pouria Mortezaagha, Abhisht Makarand Joshi and Arya Rahgozar

Content type: Research 21 July 2025

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Aims and Scope

BMC Artificial Intelligence is an open access, peer-reviewed journal that provides an interdisciplinary platform for artificial intelligence (AI) research within the life, biological and medical sciences. Research areas considered include machine learning and intelligence, methodological advances in AI, and AI ethics and regulations. There is also a focus on life sciences and medical AI applications including pharmacology and drug development, diagnostics and precision medicine, medicinal chemistry, and agricultural and environmental sciences.

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BMC Artificial Intelligence

Latest collections open to submissions

AI in mental health monitoring

AI-powered plant monitoring

AI in telemedicine

AI in oncology: personalized treatm ent and predictive modeling

Join the Editorial Board

Application of machine learning algorithms for predicting the outcome of therapeutic intervention of colorectal cancer patients in Palestine with a global comparison

Inconsistency detection in cancer data classification using explainable-AI

Application of artificial intelligence in bioprospecting for natural products for biopharmaceutical purposes

End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning

Harnessing artificial intelligence for predictive modeling in combating antimicrobial resistance: a call for integration and innovation

End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning

Harnessing artificial intelligence for predictive modeling in combating antimicrobial resistance: a call for integration and innovation

Developing amharic text-based chatbot model for HIV/AIDS awareness and care using deep learning approaches

Application of artificial intelligence in bioprospecting for natural products for biopharmaceutical purposes

Inconsistency detection in cancer data classification using explainable-AI

Aims and Scope

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BMC Artificial Intelligence

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