Multimodal biomedical AI DOI Open Access
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar

et al.

Nature Medicine, Journal Year: 2022, Volume and Issue: 28(9), P. 1773 - 1784

Published: Sept. 1, 2022

Language: Английский

Rethinking drug design in the artificial intelligence era DOI
Petra Schneider, W. Patrick Walters, Alleyn T. Plowright

et al.

Nature Reviews Drug Discovery, Journal Year: 2019, Volume and Issue: 19(5), P. 353 - 364

Published: Dec. 4, 2019

Language: Английский

Citations

657

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine DOI Creative Commons
Zeeshan Ahmed, Khalid Gaffer Mohamed, Saman Zeeshan

et al.

Database, Journal Year: 2020, Volume and Issue: 2020

Published: Jan. 1, 2020

Precision medicine is one of the recent and powerful developments in medical care, which has potential to improve traditional symptom-driven practice medicine, allowing earlier interventions using advanced diagnostics tailoring better economically personalized treatments. Identifying best pathway population involves ability analyze comprehensive patient information together with broader aspects monitor distinguish between sick relatively healthy people, will lead a understanding biological indicators that can signal shifts health. While complexities disease at individual level have made it difficult utilize healthcare clinical decision-making, some existing constraints been greatly minimized by technological advancements. To implement effective precision enhanced positively impact outcomes provide real-time decision support, important harness power electronic health records integrating disparate data sources discovering patient-specific patterns progression. Useful analytic tools, technologies, databases, approaches are required augment networking interoperability clinical, laboratory public systems, as well addressing ethical social issues related privacy protection balance. Developing multifunctional machine learning platforms for extraction, aggregation, management analysis support clinicians efficiently stratifying subjects understand specific scenarios optimize decision-making. Implementation artificial intelligence compelling vision leading significant improvements achieving goals providing real-time, lower costs. In this study, we focused on analyzing discussing various published solutions, perspectives, aiming advance academic solutions paving way new data-centric era discovery healthcare.

Language: Английский

Citations

657

Artificial Intelligence for Mental Health and Mental Illnesses: an Overview DOI
Sarah Graham, Colin A. Depp, Ellen Lee

et al.

Current Psychiatry Reports, Journal Year: 2019, Volume and Issue: 21(11)

Published: Nov. 1, 2019

Language: Английский

Citations

608

Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks DOI
Todd Hollon, Balaji Pandian,

Arjun Adapa

et al.

Nature Medicine, Journal Year: 2020, Volume and Issue: 26(1), P. 52 - 58

Published: Jan. 1, 2020

Language: Английский

Citations

607

Multimodal biomedical AI DOI Open Access
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar

et al.

Nature Medicine, Journal Year: 2022, Volume and Issue: 28(9), P. 1773 - 1784

Published: Sept. 1, 2022

Language: Английский

Citations

583