History of artificial intelligence in medicine

V Kaul, S Enslin, SA Gross - Gastrointestinal endoscopy, 2020 - Elsevier
Artificial intelligence (AI) was first described in 1950; however, several limitations in early
models prevented widespread acceptance and application to medicine. In the early 2000s …

Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health

E Loh - BMJ leader, 2018 - bmjleader.bmj.com
Artificial intelligence (AI) has the potential to significantly transform the role of the doctor and
revolutionise the practice of medicine. This qualitative review paper summarises the past 12 …

Making individual prognoses in psychiatry using neuroimaging and machine learning

RJ Janssen, J Mourão-Miranda, HG Schnack - … Cognitive neuroscience and …, 2018 - Elsevier
Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the
future, as opposed to making a diagnosis, which is concerned with the current state. During …

Recent advances in psychoradiology

L Luo, W You, MP DelBello, Q Gong… - Physics in Medicine & …, 2022 - iopscience.iop.org
Psychiatry, as a field, lacks objective markers for diagnosis, progression, treatment planning,
and prognosis, in part due to difficulties studying the brain in vivo, and diagnoses are based …

Challenges and future prospects of precision medicine in psychiatry

M Manchia, C Pisanu, A Squassina… - Pharmacogenomics …, 2020 - Taylor & Francis
Precision medicine is increasingly recognized as a promising approach to improve disease
treatment, taking into consideration the individual clinical and biological characteristics …

Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions

LA Claude, J Houenou, E Duchesnay… - Bipolar …, 2020 - Wiley Online Library
Objectives The existence of anatomofunctional brain abnormalities in bipolar disorder (BD)
is now well established by magnetic resonance imaging (MRI) studies. To create diagnostic …

Machine learning and big data analytics in bipolar disorder: a position paper from the International Society for Bipolar Disorders Big Data Task Force

IC Passos, PL Ballester, RC Barros… - Bipolar …, 2019 - Wiley Online Library
Abstract Objectives The International Society for Bipolar Disorders Big Data Task Force
assembled leading researchers in the field of bipolar disorder (BD), machine learning, and …

Artificial intelligence (AI) in medicine as a strategic valuable tool

A Larentzakis, N Lygeros - Pan African Medical Journal, 2021 - ajol.info
Humans' creativity led to machines that outperform human capabilities in terms of workload,
effectiveness, precision, endurance, strength, and repetitiveness. It has always been a vision …

The role of biomarkers in psychiatry

M Lozupone, M La Montagna, F D'Urso… - Reviews on biomarker …, 2019 - Springer
Psychiatric illnesses are cognitive and behavioral disorders of the brain. At present,
psychiatric diagnosis is based on DSM-5 criteria. Even if endophenotype specificity for …

Prediction of response to drug therapy in psychiatric disorders

S Stern, S Linker, KC Vadodaria… - Open …, 2018 - royalsocietypublishing.org
Personalized medicine has become increasingly relevant to many medical fields, promising
more efficient drug therapies and earlier intervention. The development of personalized …