Dinesh Kumar V, Rajprasath R, N A Priyadharshini, Magi Murugan, Rema Devi
Infusing the axioms of clinical reasoning while designing clinical anatomy case vignettes teaching for novice medical students: a randomised cross over study
Anatomy & cell biology
intelligence ability humans learn experiences ascribe conscious weights unconscious biases modulate outputs given inputs transferring ability computers artificial intelligence ai ability computers understand data intelligent manner machine learning learning images videos involves deeper layers artificial neural networks described deep learning large language models latest development ai incorporate selflearning deep learning transformers ai rheumatology immense potential revolutionize healthcare research machine learning could aid clinical diagnosis decisionmaking deep learning could extend analyze images radiology positron emission tomography scans histopathology images aid clinicians diagnosis analysis routinely obtained patient data continuously collected information wearables could predict disease flares analysis highvolume genomics transcriptomics proteomics metabolomics data patients could help identify novel markers disease prognosis ai might identify newer therapeutic targets based insilico modelling omics data ai could help automate medical administrative work inputting information electronic health records transcribing clinic notes ai could help automate patient education counselling beyond clinic ai potential aid medical education everexpanding capabilities ai models bring along considerable ethical challenges particularly related risks misuse nevertheless widespread use ai rheumatology inevitable progress great potential