Dorit Hadar Shoval on Muck Rack

Dorit Hadar Shoval

As seen in: Nature
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Articles

Bias, representation, and clinical fidelity in AI-generated images for medical education: a systematic literature review

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By Lilach Alon, Dorit Hadar Shoval, Inbar Levkovich
| Nature
Abstract Generative AI text-to-image systems are increasingly used in medical education due to their speed and apparent visual realism, yet they introduce distinct safety and equity risks. Although empirical evaluations are accumulating, evidence on representational bias and clinical fidelity remains fragmented.
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Evaluation of cross-ethnic emotion recognition capabilities in multimodal large language models using the reading the mind in the eyes test - Scientific Reports

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By Elad Refoua, Zohar Elyoseph, David Piterman, Alon Geller, Gunther Meinlschmidt, Dorit Hadar Shoval
| Nature
Abstract Accurate emotion recognition is a foundational component of social cognition, yet human biases can compromise its reliability. The emergent capabilities of multimodal large language models (MLLMs) offer a potential avenue for objective analysis, but their performance has been tested mainly with ethnically homogenous stimuli.
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AI’s therapeutic potential goes beyond emotional connection

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By Dorit Hadar Shoval
| Nature
CORRESPONDENCE 14 October 2025 The World View by Ziv Ben-Zion (Nature 643, 9; 2025) and Correspondence by Hadar Fisher (Nature 644, 876; 2025) explore the clinical risks and possibilities arising from the capacity of artificial-intelligence systems to replicate human empathy and connection. But AI’s distinct, non-human qualities also hold therapeutic potential.
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