[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations

SK Khare, V Blanes-Vidal, ES Nadimi, UR Acharya - Information fusion, 2024 - Elsevier
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

Emotion recognition in EEG signals using deep learning methods: A review

M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade

SK Khare, S March, PD Barua, VM Gadre, UR Acharya - Information Fusion, 2023 - Elsevier
Mental health is a basic need for a sustainable and develo** society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …

[HTML][HTML] Multi-modality approaches for medical support systems: A systematic review of the last decade

M Salvi, HW Loh, S Seoni, PD Barua, S García… - Information …, 2024 - Elsevier
Healthcare traditionally relies on single-modality approaches, which limit the information
available for medical decisions. However, advancements in technology and the availability …

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework

E Nasarian, R Alizadehsani, UR Acharya, KL Tsui - Information Fusion, 2024 - Elsevier
Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …

Application of artificial intelligence techniques for monkeypox: a systematic review

K Chadaga, S Prabhu, N Sampathila, S Nireshwalya… - Diagnostics, 2023 - mdpi.com
Monkeypox or Mpox is an infectious virus predominantly found in Africa. It has spread to
many countries since its latest outbreak. Symptoms such as headaches, chills, and fever are …

Application of artificial intelligence techniques for brain–computer interface in mental fatigue detection: A systematic review (2011–2022)

H Yaacob, F Hossain, S Shari, SK Khare, CP Ooi… - IEEe …, 2023 - ieeexplore.ieee.org
Mental fatigue is a psychophysical condition with a significant adverse effect on daily life,
compromising both physical and mental wellness. We are experiencing challenges in this …

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

U Raghavendra, A Gudigar, A Paul, TS Goutham… - Computers in Biology …, 2023 - Elsevier
A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting
pressure on the healthy parts of the brain, it can lead to significant health problems …

[HTML][HTML] Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images

KK Patro, JP Allam, BC Neelapu, R Tadeusiewicz… - Information …, 2023 - Elsevier
Kidney stone disease is a serious public health concern that is getting worse with changes
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …

[HTML][HTML] Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram

M Barandas, L Famiglini, A Campagner, D Folgado… - Information …, 2024 - Elsevier
Artificial Intelligence (AI) use in automated Electrocardiogram (ECG) classification has
continuously attracted the research community's interest, motivated by their promising …