Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...
Objectives In the USA, an estimated 40–50 million operations are performed annually, with high rates of adverse events. Since the 1980s, report cards have been used for outcome measures and to improve ...
Background A regional trial indicated that implementing at-risk asthma registers in primary care could reduce hospital ...
The authors updated a diagnosis list to identify low-acuity emergency department visits by veterans and applied it to examine ...
Objective Evaluation of the Medical Mediation Foundation’s Conflict Management Programme (CMP)—a structured process for ...
Objectives Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, ...
Objective The multinational ERYTHRO ( NCT06046534) study investigated the experience of patients with moderate-to-severe SLE ...
This study investigated heterogeneous subtypes of non-suicidal self-injury (NSSI) among college students and examined the psychosocial predictors of high-risk profiles to guide precision interventions ...
Background Sex-based differences in immune response are well established, but whether men and women derive comparable benefit ...
Travel And Tour World (TTW) announces its comprehensive global aviation research for 2026, presenting the Top 50 Airlines in the World, shaping international travel, connectivity, and passenger ...
Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
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