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AI in protein structure prediction

Guest edited byJose Isagani Janairo and Arvind Ramanathan

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

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Hyperspectral reconstruction for mobile diabetic foot blood perfusion monitoring

Authors: Alexander Gherardi, Wei Bo, Ahmet Demirbas, Ye Zhan and Wenyao Xu

Content type: Research 22 September 2025
Forecasting malaria incidence in the Southeast districts of Senegal using a machine learning approach

Authors: Almamy Youssouf Ly, Mouhamad M. Allaya, Mor Absa Loum, Lucien D. Gning, Ousmane Sy, Léontine N. Bakhoum, Khady Ndiaye, Médoune Ndiop, Fatimata Bintou Sall, Jean Louis A. Ndiaye and Mamadou Bousso

Content type: Research 5 September 2025
MyeVAE: a multi-modal variational autoencoder for risk profiling of newly diagnosed multiple myeloma

Authors: Jia Geng Chang, Jianbin Chen, Guo-Liang Chew and Wee Joo Chng

Content type: Research 28 August 2025
PaliGemma-CXR: a multi-task multimodal model for tuberculosis chest X-ray interpretation

Authors: Denis Musinguzi, Andrew Katumba, Sudi Murindanyi, Joyce Nakatumba-Nabende, Cosmas Mwikirize, Margaret Mbabazi, Harriet Kisembo, Richard Malumba and Micheal G.Kawooya

Content type: Research 14 August 2025
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

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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
Forecasting malaria incidence in the Southeast districts of Senegal using a machine learning approach

Authors: Almamy Youssouf Ly, Mouhamad M. Allaya, Mor Absa Loum, Lucien D. Gning, Ousmane Sy, Léontine N. Bakhoum, Khady Ndiaye, Médoune Ndiop, Fatimata Bintou Sall, Jean Louis A. Ndiaye and Mamadou Bousso

Content type: Research 5 September 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
MyeVAE: a multi-modal variational autoencoder for risk profiling of newly diagnosed multiple myeloma

Authors: Jia Geng Chang, Jianbin Chen, Guo-Liang Chew and Wee Joo Chng

Content type: Research 28 August 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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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.

BMC Artificial Intelligence

Latest collections open to submissions

AI in protein structure prediction

AI in mental health monitoring

AI-powered plant monitoring

AI in telemedicine

Join the Editorial Board

Hyperspectral reconstruction for mobile diabetic foot blood perfusion monitoring

Forecasting malaria incidence in the Southeast districts of Senegal using a machine learning approach

MyeVAE: a multi-modal variational autoencoder for risk profiling of newly diagnosed multiple myeloma

PaliGemma-CXR: a multi-task multimodal model for tuberculosis chest X-ray interpretation

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

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

Forecasting malaria incidence in the Southeast districts of Senegal using a machine learning approach

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

MyeVAE: a multi-modal variational autoencoder for risk profiling of newly diagnosed multiple myeloma

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

Aims and Scope

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BMC Artificial Intelligence

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