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Pathology in the artificial intelligence era: Guiding innovation and implementation to preserve human insight.
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Can Synthetic Images Improve CNN Performance in Wound Image Classification?
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Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks.
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Quality of interaction between clinicians and artificial intelligence systems. A systematic review.
Future Healthc J. 2024 Aug 17;11(3):100172. doi: 10.1016/j.fhj.2024.100172. eCollection 2024 Sep.
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AI in health care and the fragile pursuit of equity and social justice.
Lancet. 2024 Aug 31;404(10455):843. doi: 10.1016/S0140-6736(24)01604-0.
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CALLM: Enhancing Clinical Interview Analysis Through Data Augmentation With Large Language Models.
IEEE J Biomed Health Inform. 2024 Dec;28(12):7531-7542. doi: 10.1109/JBHI.2024.3435085. Epub 2024 Dec 5.
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Medical artificial intelligence for clinicians: the lost cognitive perspective.
Lancet Digit Health. 2024 Aug;6(8):e589-e594. doi: 10.1016/S2589-7500(24)00095-5.
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Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology.
Comput Biol Med. 2024 Mar;170:108018. doi: 10.1016/j.compbiomed.2024.108018. Epub 2024 Jan 24.
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Measuring emotional well-being through subjective report: a scoping review of reviews.
BMJ Open. 2022 Dec 29;12(12):e062120. doi: 10.1136/bmjopen-2022-062120.
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Data augmentation for medical imaging: A systematic literature review.
Comput Biol Med. 2023 Jan;152:106391. doi: 10.1016/j.compbiomed.2022.106391. Epub 2022 Dec 9.
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"Democratizing" artificial intelligence in medicine and healthcare: Mapping the uses of an elusive term.
Front Genet. 2022 Aug 15;13:902542. doi: 10.3389/fgene.2022.902542. eCollection 2022.

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