MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation [PDF]
arXiv, 2023 Dialogue systems for Automatic Differential Diagnosis (ADD) have a wide range of real-life applications. These dialogue systems are promising for providing easy access and reducing medical costs. Building end-to-end ADD dialogue systems requires dialogue training datasets.
arxiv
Southern Medical Journal, 1911 Presented through analyses of cases. ; Mode of access: Internet.
openaire +1 more source
3D Transformer based on deformable patch location for differential diagnosis between Alzheimer's disease and Frontotemporal dementia [PDF]
arXiv, 2023 Alzheimer's disease and Frontotemporal dementia are common types of neurodegenerative disorders that present overlapping clinical symptoms, making their differential diagnosis very challenging. Numerous efforts have been done for the diagnosis of each disease but the problem of multi-class differential diagnosis has not been actively explored.
arxiv
Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning [PDF]
, 2022 For those seeking healthcare advice online, AI based dialogue agents capable of interacting with patients to perform automatic disease diagnosis are a viable option. This application necessitates efficient inquiry of relevant disease symptoms in order to make accurate diagnosis recommendations. This can be formulated as a problem of sequential feature (
arxiv +1 more source
Towards Practical Application of Deep Learning in Diagnosis of Alzheimer's Disease [PDF]
arXiv, 2022 Accurate diagnosis of Alzheimer's disease (AD) is both challenging and time consuming. With a systematic approach for early detection and diagnosis of AD, steps can be taken towards the treatment and prevention of the disease. This study explores the practical application of deep learning models for diagnosis of AD.
arxiv
Double-Fock Superposition Interferometry for Differential Diagnosis of Decoherence [PDF]
New J. Phys. 17, 023008 (2015), 2014 Interferometric signals are degraded by decoherence, which encompasses dephasing, mixing and any distinguishing which-path information. These three paradigmatic processes are fundamentally different, but, for coherent, single-photon and $N00N$-states, they degrade interferometric visibility in the very same way, which impedes the diagnosis of the cause
arxiv +1 more source
Forensic and clinical diagnosis in shaken baby syndrome , between child abuse and iatrogenic abuse [PDF]
, 2017 “Shaken baby syndrome” in child abuse cases is a challenge for pediatrician and forensic experts, often a diagnosis of exclusion, with overwhelming moral and legal implications.
Apostol, Irina +3 more
core +3 more sources
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning [PDF]
arXiv, 2022 The automation of the medical evidence acquisition and diagnosis process has recently attracted increasing attention in order to reduce the workload of doctors and democratize access to medical care. However, most works proposed in the machine learning literature focus solely on improving the prediction accuracy of a patient's pathology.
arxiv
Transient epileptic amnesia: an emerging late-onset epileptic syndrome. [PDF]
, 2009 Transient epileptic amnesia (TEA) is a distinct neurologic condition occurring in late-middle/old age and presenting with amnesic attacks of epileptic nature and interictal memory disturbances.
BILO, LEONILDA +4 more
core +1 more source
FEBS Letters, EarlyView.Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi +3 more
wiley +1 more source