Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 22,761 to 22,770 of 216,842 articles

Medical AI, inductive risk and the communication of uncertainty: the case of disorders of consciousness.

Journal of medical ethics
Some patients, following brain injury, do not outwardly respond to spoken commands, yet show patterns of brain activity that indicate responsiveness. This is 'cognitive-motor dissociation' (CMD). Recent research has used machine learning to diagnose ... read more 

Meaningful Human Control over AI for Health? A Review.

Journal of medical ethics
Artificial intelligence is currently changing many areas of society. Especially in health, where critical decisions are made, questions of control must be renegotiated: who is in control when an automated system makes clinically relevant decisions? I... read more 

Artificial intelligence, pharmaceutical development and dual-use research of concern: a call to action.

Journal of medical ethics
Fervent attention was paid to what is coined dual-use research (DUR), or research that can both benefit and harm humanity, and dual-use research of concern (DURC), a particular subset of DUR that is reasonably anticipated to be a safety and security ... read more 

Which AI doctor would you like to see? Emulating healthcare provider-patient communication models with GPT-4: proof-of-concept and ethical exploration.

Journal of medical ethics
Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider-patient communication. However, some have raised the concern that such communication may adopt implicit communication norms... read more 

Technological advances in imaging and modelling of leaf structural traits: a review of heat stress in wheat.

Journal of experimental botany
Abiotic stresses such as heat waves significantly reduce wheat productivity by altering leaf anatomy and physiology, leading to reduced photosynthetic carbon assimilation and crop yield. Despite the advancement in various imaging technologies at the ... read more 

Artificial intelligence, invisible victims and the trolley problem.

Journal of medical ethics
The allocation of scarce healthcare resources inherently involves trade-offs between the interests of 'visible' and 'invisible' victims (ie, individuals who are aware that they are shortchanged by trade-offs and those who are not). At present, decisi... read more 

Psychedelics Align Brain Activity with Context

bioRxiv
Psychedelics can profoundly alter consciousness by reorganising brain connectivity; however, their effects are context-sensitive. To understand how this reorganisation depends on context, we collected and comprehensively analysed the largest psychede... read more 

Systematic contextual biases in SegmentNT potentially relevant to other nucleotide transformer models

bioRxiv
Recent advances in large language models (LLMs) have extended to genomic applications, yet model robustness relative to context is unclear. Here, we demonstrate two intrinsic biases (input sequence length and nucleotide position) affecting SegmentNT ... read more 

Pushing the ceiling of species-level mapping in a hyperdiverse tropical forest with multi-temporal segmentation and airborne hyperspectral classification

bioRxiv
Species-level maps of tropical forest canopies are needed for biodiversity monitoring, conservation planning, and carbon accounting, yet the structural complexity and species richness of these forests make remote classification challenging. Here we e... read more 

MolGene-E: Inverse Molecular Design to Modulate Single Cell Transcriptomics

bioRxiv
Designing drugs that can restore a diseased cell to its healthy state is an emerging approach in systems pharmacology to address medical needs that conventional target-based drug discovery paradigms have failed to meet. Single-cell transcriptomics ca... read more